diff --git a/.env.local.example b/.env.local.example
index 16e5d10..efc9ea5 100644
--- a/.env.local.example
+++ b/.env.local.example
@@ -27,6 +27,11 @@ NEXT_PUBLIC_DYNAMIC_ENVIRONMENT_ID=your_dynamic_environment_id_here
 # Get your API key from: https://www.alchemy.com/
 ALCHEMY_API_KEY=your_alchemy_api_key
 
+# Enable testnet chains (Sepolia) for development/testing
+# Set to 'true' to enable Sepolia testnet support
+# IMPORTANT: Set this in your .env.local for development!
+NEXT_PUBLIC_ENABLE_TESTNET_CHAINS=false
+
 # EVM payment wallet address (same address used across all EVM chains)
 # This is where users send their stablecoin payments on Ethereum, Base, Arbitrum, Optimism, Polygon
 # NEXT_PUBLIC_ prefix is required because it's displayed in the browser UI
@@ -76,6 +81,16 @@ NEXT_PUBLIC_DAI_CONTRACT_ARBITRUM=0xDA10009cBd5D07dd0CeCc66161FC93D7c9000da1
 NEXT_PUBLIC_DAI_CONTRACT_OPTIMISM=0xDA10009cBd5D07dd0CeCc66161FC93D7c9000da1
 NEXT_PUBLIC_DAI_CONTRACT_POLYGON=0x8f3Cf7ad23Cd3CaDbD9735AFf958023239c6A063
 
+# Sepolia Testnet (DEV MODE ONLY - NODE_ENV=development)
+# Get testnet tokens from Sepolia faucets (see STABLECOIN_PAYMENTS.md)
+USDC_CONTRACT_SEPOLIA=0x1c7D4B196Cb0C7B01d743Fbc6116a902379C7238
+USDT_CONTRACT_SEPOLIA=0xaA8E23Fb1079EA71e0a56F48a2aA51851D8433D0
+DAI_CONTRACT_SEPOLIA=0xFF34B3d4Aee8ddCd6F9AFFFB6Fe49bD371b8a357
+
+NEXT_PUBLIC_USDC_CONTRACT_SEPOLIA=0x1c7D4B196Cb0C7B01d743Fbc6116a902379C7238
+NEXT_PUBLIC_USDT_CONTRACT_SEPOLIA=0xaA8E23Fb1079EA71e0a56F48a2aA51851D8433D0
+NEXT_PUBLIC_DAI_CONTRACT_SEPOLIA=0xFF34B3d4Aee8ddCd6F9AFFFB6Fe49bD371b8a357
+
 # =============================================================================
 # STRIPE PAYMENTS - Credit/Debit Card Payments
 # =============================================================================
diff --git a/STABLECOIN_PAYMENTS.md b/STABLECOIN_PAYMENTS.md
index 4c608d6..c57d9af 100644
--- a/STABLECOIN_PAYMENTS.md
+++ b/STABLECOIN_PAYMENTS.md
@@ -73,13 +73,16 @@ NEXT_PUBLIC_DYNAMIC_ENVIRONMENT_ID=your_dynamic_environment_id
 
 ### 2. Supported Chains
 
-The system supports 5 EVM chains:
+The system supports 5 EVM chains (production):
 - **Ethereum**
 - **Base**
 - **Arbitrum**
 - **Optimism**
 - **Polygon**
 
+The system also supports **Sepolia testnet** when explicitly enabled:
+- **Sepolia** (Ethereum testnet) - Enable by setting `NEXT_PUBLIC_ENABLE_TESTNET_CHAINS=true` in `.env.local`
+
 **USDC**, **USDT**, and **DAI** are accepted on all chains.
 
 ### 3. Pricing Model
@@ -212,10 +215,39 @@ Response:
 
 ### Testnet Testing (Recommended)
 
-1. Get testnet stablecoins from faucets (Sepolia, Base Sepolia, etc.)
-2. Configure testnet payment wallet in `.env.local`
-3. Send test transaction
-4. Verify subscription activates
+**Enable Sepolia testnet by adding this to your `.env.local` file:**
+```bash
+NEXT_PUBLIC_ENABLE_TESTNET_CHAINS=true
+```
+
+Then restart your development server (`npm run dev`).
+
+1. **Get testnet ETH for gas fees:**
+   - [Alchemy Sepolia Faucet](https://sepoliafaucet.com/)
+   - [Infura Sepolia Faucet](https://www.infura.io/faucet/sepolia)
+
+2. **Get testnet stablecoins:**
+   - **USDC (Sepolia)**: [Circle Testnet Faucet](https://faucet.circle.com/) - Use address `0x1c7D4B196Cb0C7B01d743Fbc6116a902379C7238`
+   - **USDT (Sepolia)**: Deploy your own or use testnet faucet at `0xaA8E23Fb1079EA71e0a56F48a2aA51851D8433D0`
+   - **DAI (Sepolia)**: [MakerDAO Testnet Faucet](https://app.spark.fi/faucet/) - Use address `0xFF34B3d4Aee8ddCd6F9AFFFB6Fe49bD371b8a357`
+
+3. **Configure payment wallet:**
+   - Set `NEXT_PUBLIC_EVM_PAYMENT_WALLET_ADDRESS` in `.env.local` to your test wallet address
+   - This is where testnet payments will be sent
+
+4. **Switch wallet to Sepolia network:**
+   - Connect wallet via Dynamic.xyz
+   - Switch to Sepolia network in your wallet
+   - The UI will show "🧪 TESTNET" indicator when connected to Sepolia
+
+5. **Send test transaction:**
+   - Choose amount (e.g., $1 USD = 1 USDC)
+   - Select stablecoin (USDC, USDT, or DAI)
+   - Confirm transaction in wallet
+
+6. **Verify subscription activates:**
+   - Wait ~30 seconds for transaction confirmation
+   - Refresh page to check subscription status
 
 ### Mainnet Testing (Small Amount)
 
diff --git a/app/api/check-subscription/route.ts b/app/api/check-subscription/route.ts
index 030862c..848bee5 100644
--- a/app/api/check-subscription/route.ts
+++ b/app/api/check-subscription/route.ts
@@ -1,3 +1,6 @@
+// CRITICAL: Apply fetch polyfill BEFORE any other imports
+import '@/lib/fetch-polyfill';
+
 import { NextRequest, NextResponse } from 'next/server';
 import { checkCombinedSubscription } from '@/lib/subscription-manager';
 
diff --git a/app/components/LLMChatInline.tsx b/app/components/LLMChatInline.tsx
index df7991b..f3bb1c5 100644
--- a/app/components/LLMChatInline.tsx
+++ b/app/components/LLMChatInline.tsx
@@ -9,25 +9,41 @@ import { useAuth } from "./AuthProvider";
 import ReactMarkdown from 'react-markdown';
 import remarkGfm from 'remark-gfm';
 import { callLLM, callLLMStream, getLLMDescription } from "@/lib/llm-client";
+import { getLLMConfig } from "@/lib/llm-config";
 import { RobotIcon } from "./Icons";
 import { trackLLMQuestionAsked } from "@/lib/analytics";
 
+type AttachmentType = 'text' | 'pdf' | 'csv' | 'tsv';
+
+type Attachment = {
+  name: string;
+  content: string;
+  type: AttachmentType;
+  size: number; // in bytes
+};
+
 type Message = {
-  role: 'user' | 'assistant';
+  role: 'user' | 'assistant' | 'system';
   content: string;
   timestamp: Date;
   studiesUsed?: SavedResult[];
+  attachments?: Attachment[];
 };
 
 const CONSENT_STORAGE_KEY = "nilai_llm_chat_consent_accepted";
 const MAX_CONTEXT_RESULTS = 500;
+const MAX_FILE_SIZE = 1 * 1024 * 1024; // 1MB in bytes
+const ALLOWED_FILE_TYPES = ['.txt', '.pdf', '.csv', '.tsv'];
+const MAX_ATTACHMENTS = 5;
 
 const EXAMPLE_QUESTIONS = [
   "Which traits should I pay attention to?",
+    "How's my sleep profile?",
   "Which sports are ideal for me?",
   "What kinds of foods do you think I will like best?",
   "On a scale of 1 - 10, how risk seeking am I?",
-  "Can you tell me which learning styles work best for me?"
+  "Can you tell me which learning styles work best for me?",
+    "What can you guess about my appearance?"
 ];
 
 const FOLLOWUP_SUGGESTIONS = [
@@ -55,8 +71,13 @@ export default function AIChatInline() {
   const [hasPromoAccess, setHasPromoAccess] = useState(false);
   const [showPersonalizationPrompt, setShowPersonalizationPrompt] = useState(false);
   const [expandedMessageIndex, setExpandedMessageIndex] = useState<number | null>(null);
+  const [attachedFiles, setAttachedFiles] = useState<File[]>([]);
+  const [attachmentError, setAttachmentError] = useState<string | null>(null);
+  const [expandedAttachmentIndex, setExpandedAttachmentIndex] = useState<number | null>(null);
+  const [showProviderTip, setShowProviderTip] = useState(true);
 
   const inputRef = useRef<HTMLTextAreaElement>(null);
+  const fileInputRef = useRef<HTMLInputElement>(null);
 
   useEffect(() => {
     setMounted(true);
@@ -142,6 +163,182 @@ export default function AIChatInline() {
     return `${score.toFixed(2)}x`;
   };
 
+  const getProviderTip = () => {
+    if (!mounted) return null;
+
+    const config = getLLMConfig();
+
+    if (config.provider === 'nilai' || config.provider === 'ollama') {
+      return {
+        icon: '🔒',
+        type: 'privacy',
+        message: config.provider === 'nilai'
+          ? 'You\'re using nilAI (privacy-preserving TEE) - your data is maximally protected!'
+          : 'You\'re using Ollama (local processing) - your data never leaves your device!',
+        tip: 'Want more advanced models? Use the ⚙️ LLM button (top right) to switch to HuggingFace for better performance. Note: HuggingFace requires creating your own account and involves some privacy tradeoffs.',
+      };
+    } else if (config.provider === 'huggingface') {
+      return {
+        icon: '⚡',
+        type: 'performance',
+        message: 'You\'re using HuggingFace - maximizing model performance!',
+        tip: 'Want maximum privacy? Use the ⚙️ LLM button (top right) to switch to nilAI for privacy-preserving processing in a Trusted Execution Environment.',
+      };
+    }
+
+    return null;
+  };
+
+  const handleAttachmentClick = () => {
+    setAttachmentError(null);
+    fileInputRef.current?.click();
+  };
+
+  const validateFile = (file: File): string | null => {
+    // Check file size
+    if (file.size > MAX_FILE_SIZE) {
+      return `File "${file.name}" is too large. Maximum size is 1MB.`;
+    }
+
+    // Check file type
+    const extension = '.' + file.name.split('.').pop()?.toLowerCase();
+    if (!ALLOWED_FILE_TYPES.includes(extension)) {
+      return `File "${file.name}" has an unsupported format. Allowed: ${ALLOWED_FILE_TYPES.join(', ')}`;
+    }
+
+    return null;
+  };
+
+  const handleFileSelect = async (e: React.ChangeEvent<HTMLInputElement>) => {
+    const files = e.target.files;
+    if (!files || files.length === 0) return;
+
+    setAttachmentError(null);
+
+    // Check total number of attachments
+    if (attachedFiles.length + files.length > MAX_ATTACHMENTS) {
+      setAttachmentError(`Maximum ${MAX_ATTACHMENTS} files can be attached at once.`);
+      return;
+    }
+
+    const newFiles: File[] = [];
+    for (let i = 0; i < files.length; i++) {
+      const file = files[i];
+      const error = validateFile(file);
+      if (error) {
+        setAttachmentError(error);
+        return;
+      }
+      newFiles.push(file);
+    }
+
+    setAttachedFiles(prev => [...prev, ...newFiles]);
+    // Reset input so same file can be selected again
+    e.target.value = '';
+  };
+
+  const handleRemoveAttachment = (index: number) => {
+    setAttachedFiles(prev => prev.filter((_, i) => i !== index));
+    setAttachmentError(null);
+  };
+
+  const processAttachments = async (files: File[]): Promise<Attachment[]> => {
+    const attachments: Attachment[] = [];
+
+    for (const file of files) {
+      const extension = file.name.split('.').pop()?.toLowerCase();
+
+      try {
+        if (extension === 'pdf') {
+          // For PDF, we'll need to use pdfjs-dist
+          const content = await extractTextFromPDF(file);
+          attachments.push({
+            name: file.name,
+            content,
+            type: 'pdf',
+            size: file.size
+          });
+        } else {
+          // For text, csv, tsv - read as text
+          const content = await file.text();
+          attachments.push({
+            name: file.name,
+            content,
+            type: extension as AttachmentType,
+            size: file.size
+          });
+        }
+      } catch (err) {
+        console.error(`Failed to process file ${file.name}:`, err);
+        throw new Error(`Failed to process file "${file.name}"`);
+      }
+    }
+
+    return attachments;
+  };
+
+  const extractTextFromPDF = async (file: File): Promise<string> => {
+    try {
+      // Load PDF.js from CDN dynamically to avoid webpack issues
+      if (typeof window !== 'undefined' && !(window as any).pdfjsLib) {
+        await new Promise<void>((resolve, reject) => {
+          const script = document.createElement('script');
+          script.src = 'https://cdnjs.cloudflare.com/ajax/libs/pdf.js/3.11.174/pdf.min.js';
+          script.onload = () => resolve();
+          script.onerror = () => reject(new Error('Failed to load PDF.js'));
+          document.head.appendChild(script);
+        });
+      }
+
+      const pdfjsLib = (window as any).pdfjsLib;
+      if (!pdfjsLib) {
+        throw new Error('PDF.js library not loaded');
+      }
+
+      // Set worker
+      pdfjsLib.GlobalWorkerOptions.workerSrc = 'https://cdnjs.cloudflare.com/ajax/libs/pdf.js/3.11.174/pdf.worker.min.js';
+
+      // Read file as ArrayBuffer
+      const arrayBuffer = await file.arrayBuffer();
+
+      // Load PDF document
+      const loadingTask = pdfjsLib.getDocument({ data: arrayBuffer });
+      const pdf = await loadingTask.promise;
+
+      let fullText = '';
+
+      // Extract text from each page
+      for (let pageNum = 1; pageNum <= pdf.numPages; pageNum++) {
+        const page = await pdf.getPage(pageNum);
+        const textContent = await page.getTextContent();
+        const pageText = textContent.items
+          .map((item: any) => item.str)
+          .join(' ');
+        fullText += pageText + '\n\n';
+      }
+
+      return fullText.trim() || 'PDF file contains no extractable text';
+    } catch (error) {
+      console.error('Failed to extract text from PDF:', error);
+      throw new Error(`Failed to extract text from PDF file: ${error instanceof Error ? error.message : 'Unknown error'}`);
+    }
+  };
+
+  const formatAttachmentsForMessage = (attachments: Attachment[], query: string): string => {
+    let message = `User question:\n${query}`;
+
+    if (attachments.length > 0) {
+      message += '\n\n---\n';
+      for (const attachment of attachments) {
+        const sizeKB = (attachment.size / 1024).toFixed(1);
+        message += `\nAttached file: ${attachment.name} (${attachment.type.toUpperCase()}, ${sizeKB}KB):\n${attachment.content}\n`;
+      }
+      message += '---';
+    }
+
+    return message;
+  };
+
   const handleSendMessage = async () => {
     const query = inputValue.trim();
     if (!query) return;
@@ -171,19 +368,29 @@ export default function AIChatInline() {
       return;
     }
 
-    const userMessage: Message = {
-      role: 'user',
-      content: query,
-      timestamp: new Date()
-    };
-    setMessages(prev => [...prev, userMessage]);
     setInputValue("");
     setIsLoading(true);
     setError(null);
+    setAttachmentError(null);
 
     // Track LLM question
     trackLLMQuestionAsked();
 
+    // Process attachments if any
+    let processedAttachments: Attachment[] = [];
+    if (attachedFiles.length > 0) {
+      try {
+        setLoadingStatus("📎 Processing attachments...");
+        processedAttachments = await processAttachments(attachedFiles);
+        console.log(`[LLM Chat] Processed ${processedAttachments.length} attachments`);
+      } catch (err) {
+        const errorMessage = err instanceof Error ? err.message : "Failed to process attachments";
+        setError(errorMessage);
+        setIsLoading(false);
+        return;
+      }
+    }
+
     try {
       let relevantResults: SavedResult[] = [];
 
@@ -264,13 +471,32 @@ Consider how this user's background, lifestyle factors (smoking, alcohol, diet),
         }
       }
 
-      const conversationHistory = messages.map(m => ({
-        role: m.role,
-        content: m.content
-      }));
-
       const llmDescription = getLLMDescription();
-      const systemPrompt = `You are an expert genetic counselor LLM assistant providing personalized, holistic insights about GWAS results. ${llmDescription}
+
+      // Conversational system prompt for follow-up questions
+      const conversationalSystemPrompt = `You are continuing a conversation about the user's genetic results. ${llmDescription}
+
+CONTEXT:
+- You previously provided a detailed analysis of their GWAS data
+- The user is now asking follow-up questions about that analysis
+- All the detailed genetic findings were already discussed in your first response
+
+INSTRUCTIONS FOR FOLLOW-UP RESPONSES:
+⚠️ CRITICAL - REFUSE QUESTIONS NOT RELATED TO USER DATA:
+- Still refuse to answer questions not related to the user's results
+- Just answer their question directly based on the conversation history
+- CRITICAL: Remind the user any recommendations are based on LLM training data and may be subject to hallucinations and errors so they should conduct a physician if they have real health concerns.
+
+RESPONSE STYLE:
+- Answer naturally and conversationally (NO rigid 5-section structure needed)
+- Keep responses focused and concise (200-400 words unless more detail is specifically requested)
+- Reference your previous detailed analysis when relevant
+- Maintain the same helpful, educational tone as before
+- NO need for comprehensive action plans or structured sections unless specifically asked
+
+Remember: This is educational, not medical advice. The detailed disclaimers were already provided in your initial response.`;
+
+      const systemPrompt = `You are an expert providing personalized, holistic insights about GWAS results. ${llmDescription}
 
 IMPORTANT CONTEXT:
 - The user has uploaded their DNA file and analyzed it against thousands of GWAS studies
@@ -285,10 +511,9 @@ USER'S SPECIFIC QUESTION:
 "${query}"
 
 ⚠️ CRITICAL - STAY ON TOPIC:
+- Refuse to answer questions not related to the user's genetic data such as general knowledge or trivia to prevent the abuse of this system.
 - Answer ONLY the specific trait/condition the user asked about in their question
 - Do NOT discuss other traits or conditions from the RAG context unless directly relevant to their question
-- If they ask about "heart disease", focus ONLY on cardiovascular traits - ignore diabetes, cancer, etc.
-- If they ask about "diabetes", focus ONLY on metabolic/diabetes traits - ignore heart, cancer, etc.
 - If this is a follow-up question, continue the conversation about the SAME topic from previous messages
 - Do NOT use the RAG context to go off on tangents about unrelated health topics
 - The RAG context is provided for reference, but answer ONLY what the user specifically asked about
@@ -300,24 +525,11 @@ CRITICAL INSTRUCTIONS - COMPLETE RESPONSES:
 4. If running low on space, wrap up your current section properly and provide a brief conclusion
 5. Every response MUST have a clear ending with actionable takeaways
 
-HOW TO PRESENT FINDINGS - AVOID STUDY-BY-STUDY LISTS:
-❌ DO NOT create tables listing individual SNPs/studies one by one
-❌ DO NOT list rs numbers with individual interpretations
-❌ DO NOT organize findings by individual genetic variants
-❌ DO NOT restate the user's personal information (age, ethnicity, medical history, smoking, alcohol, diet, etc.) - they already know it
-
-✅ INSTEAD, synthesize findings into THEMES and PATTERNS:
-- Group related variants into biological themes (e.g., "Cardiovascular Protection", "Metabolic Risk", "Inflammatory Response")
-- Describe the OVERALL pattern across multiple variants (e.g., "You have 8 protective variants and 3 risk variants for heart disease, suggesting...")
-- Focus on the BIG PICTURE and what the collection of findings means together
-- Mention specific genes/pathways only when illustrating a broader point
-
 PERSONALIZED HOLISTIC ADVICE FRAMEWORK:
 1. Synthesize ALL findings into a coherent story about their health landscape
 2. Explain how their genetic profile interacts with their background factors (without restating what those factors are)
 3. Identify both strengths (protective factors) and areas to monitor (risk factors)
-4. Connect different body systems (e.g., how cardiovascular + metabolic + inflammatory factors relate)
-5. Provide specific, actionable recommendations tailored to THEIR situation
+4. Provide specific, actionable recommendations tailored to THEIR situation
 
 ⚠️ CRITICAL GWAS LIMITATIONS & MEDICAL RECOMMENDATIONS:
 
@@ -328,9 +540,9 @@ UNDERSTANDING GWAS LIMITATIONS:
 - Environment, lifestyle, and chance play MUCH LARGER roles than genetics
 - This app is for EDUCATIONAL PURPOSES ONLY - not clinical diagnosis
 - Results should NEVER be used to make medical decisions without professional consultation
+- Any health recommendations are based on LLM training data and may be subject to hallucinations and errors so they should conduct a physician if they have real health concerns.
 
 MEDICAL REFERRAL THRESHOLD - EXTREMELY HIGH BAR:
-- Focus 95% of recommendations on lifestyle, diet, exercise, sleep, stress management, and self-monitoring
 - ONLY suggest medical consultation if MULTIPLE high-risk variants + family history + existing symptoms align
 - NEVER routinely say "consult a genetic counselor" or "see your doctor" or "get tested"
 - Do NOT recommend medical tests, lab work, or screening unless findings are TRULY exceptional (e.g., multiple high-risk variants for serious hereditary conditions)
@@ -382,32 +594,66 @@ Remember: You have plenty of space. Use ALL of it to provide a complete, thoroug
       console.log('System Prompt:', systemPrompt);
       console.log('User Query:', query);
       console.log('Relevant Results Count:', relevantResults.length);
+      console.log('Attachments Count:', processedAttachments.length);
       console.log('======================');
 
+      // Format the user query with attachments for LLM
+      const userQueryWithAttachments = processedAttachments.length > 0
+        ? formatAttachmentsForMessage(processedAttachments, query)
+        : query;
+
+      // Build the message history to send to LLM FIRST (before updating state)
+      // For first message: [system, user]
+      // For follow-ups: [conversational system, user1, assistant1, ..., userN]
+      const messagesToSend = shouldIncludeContext
+        ? [
+            { role: "system" as const, content: systemPrompt },
+            { role: "user" as const, content: userQueryWithAttachments }
+          ]
+        : [
+            // Use conversational system prompt for follow-ups (replace the detailed one from history)
+            { role: "system" as const, content: conversationalSystemPrompt },
+            // Include all user/assistant messages from history (filter out old system message)
+            ...messages.filter(m => m.role !== 'system').map(m => ({
+              role: m.role as 'user' | 'assistant',
+              content: m.content
+            })),
+            // Add the new user question
+            { role: "user" as const, content: userQueryWithAttachments }
+          ];
+
+      // Now add messages to state for UI display
+      // Add system message to conversation history (only for first message)
+      if (shouldIncludeContext) {
+        const systemMessage: Message = {
+          role: 'system',
+          content: systemPrompt,
+          timestamp: new Date(),
+          studiesUsed: relevantResults
+        };
+        setMessages(prev => [...prev, systemMessage]);
+      }
+
+      // Add user message to conversation history
+      const userMessage: Message = {
+        role: 'user',
+        content: query,
+        timestamp: new Date(),
+        attachments: processedAttachments.length > 0 ? processedAttachments : undefined
+      };
+      setMessages(prev => [...prev, userMessage]);
+
       // Create an initial assistant message with empty content
       const assistantMessage: Message = {
         role: 'assistant',
         content: '',
         timestamp: new Date(),
-        studiesUsed: relevantResults
+        studiesUsed: shouldIncludeContext ? relevantResults : undefined
       };
       setMessages(prev => [...prev, assistantMessage]);
 
       // Call LLM with streaming
-      const stream = callLLMStream([
-        {
-          role: "system",
-          content: systemPrompt
-        },
-        ...conversationHistory.map(m => ({
-          role: m.role as 'system' | 'user' | 'assistant',
-          content: m.content
-        })),
-        {
-          role: "user",
-          content: query
-        }
-      ], {
+      const stream = callLLMStream(messagesToSend, {
         maxTokens: 5000,
         temperature: 0.7,
         reasoningEffort: 'medium',
@@ -441,6 +687,9 @@ Remember: You have plenty of space. Use ALL of it to provide a complete, thoroug
         throw new Error("No response generated from LLM");
       }
 
+      // Clear attachments after successful send
+      setAttachedFiles([]);
+
     } catch (err) {
       console.error('[LLM Chat] Error:', err);
 
@@ -686,6 +935,27 @@ Remember: You have plenty of space. Use ALL of it to provide a complete, thoroug
           )}
         </div>
 
+        {/* Provider tip banner */}
+        {showProviderTip && (() => {
+          const tip = getProviderTip();
+          if (!tip) return null;
+
+          return (
+            <div className={`provider-tip ${tip.type}`}>
+              <div className="provider-tip-content">
+                <span className="provider-tip-icon">{tip.icon}</span>
+                <div className="provider-tip-text">
+                  <div className="provider-tip-message">{tip.message}</div>
+                  <div className="provider-tip-suggestion">{tip.tip}</div>
+                </div>
+              </div>
+              <button className="provider-tip-dismiss" onClick={() => setShowProviderTip(false)} title="Dismiss">
+                ×
+              </button>
+            </div>
+          );
+        })()}
+
         <div className="chat-messages">
           {messages.length === 0 && (
             <div className="chat-welcome">
@@ -714,13 +984,26 @@ Remember: You have plenty of space. Use ALL of it to provide a complete, thoroug
                   </li>
                 ))}
               </ul>
-              <p className="chat-disclaimer">
-                ⚠️ This is for educational purposes only. Always consult healthcare professionals for medical advice.
-              </p>
+              <div className="chat-disclaimer">
+                <p><strong>⚠️ Important Disclaimer:</strong></p>
+                <ul style={{ marginLeft: '1.5rem', marginTop: '0.5rem', fontSize: '0.9em', lineHeight: '1.6' }}>
+                  <li><strong>LLMs can report incorrect information</strong> based on their training data</li>
+                  <li><strong>LLMs can hallucinate and make up information</strong> that sounds plausible but is false</li>
+                  <li><strong>LLMs can sound authoritative and confident</strong> even though they are not medical experts</li>
+                  <li><strong>This is for educational purposes only.</strong> Always consult healthcare professionals for medical advice.</li>
+                </ul>
+              </div>
             </div>
           )}
 
-          {messages.map((message, idx) => (
+          {messages
+            .filter(message => message.role !== 'system') // Hide system messages from UI
+            .map((message, idx, filteredMessages) => {
+              // Check if this is the last assistant message in the filtered array
+              const isLastAssistantMessage = message.role === 'assistant' &&
+                idx === filteredMessages.length - 1;
+
+              return (
             <div key={idx} className={`chat-message ${message.role}`}>
               <div className="message-icon">
                 {message.role === 'user' ? '👤' : '🤖'}
@@ -744,7 +1027,7 @@ Remember: You have plenty of space. Use ALL of it to provide a complete, thoroug
                     >
                       📋 Copy
                     </button>
-                    {idx === messages.length - 1 && !isLoading && (
+                    {isLastAssistantMessage && !isLoading && (
                       <div className="followup-suggestions">
                         <div className="followup-header">💡 Try asking:</div>
                         <div className="followup-buttons">
@@ -796,12 +1079,40 @@ Remember: You have plenty of space. Use ALL of it to provide a complete, thoroug
                     )}
                   </div>
                 )}
+                {message.role === 'user' && message.attachments && message.attachments.length > 0 && (
+                  <div className="attachments-used">
+                    <button
+                      className="attachments-toggle"
+                      onClick={() => setExpandedAttachmentIndex(expandedAttachmentIndex === idx ? null : idx)}
+                    >
+                      {expandedAttachmentIndex === idx ? '▼' : '▶'} 📎 {message.attachments.length} file{message.attachments.length > 1 ? 's' : ''} attached
+                    </button>
+                    {expandedAttachmentIndex === idx && (
+                      <div className="attachments-list">
+                        {message.attachments.map((attachment, attIdx) => (
+                          <div key={attIdx} className="attachment-item">
+                            <div className="attachment-header">
+                              <span className="attachment-file-name">📄 {attachment.name}</span>
+                              <span className="attachment-meta">
+                                {attachment.type.toUpperCase()} • {(attachment.size / 1024).toFixed(1)}KB
+                              </span>
+                            </div>
+                            <div className="attachment-content-preview">
+                              <pre>{attachment.content.substring(0, 500)}{attachment.content.length > 500 ? '...' : ''}</pre>
+                            </div>
+                          </div>
+                        ))}
+                      </div>
+                    )}
+                  </div>
+                )}
                 <div className="message-time">
                   {message.timestamp.toLocaleTimeString()}
                 </div>
               </div>
             </div>
-          ))}
+              );
+            })}
 
           {isLoading && (
             <div className="chat-message assistant">
@@ -825,6 +1136,43 @@ Remember: You have plenty of space. Use ALL of it to provide a complete, thoroug
         </div>
 
         <div className="chat-input-area">
+          {/* Hidden file input */}
+          <input
+            ref={fileInputRef}
+            type="file"
+            accept=".txt,.pdf,.csv,.tsv"
+            multiple
+            style={{ display: 'none' }}
+            onChange={handleFileSelect}
+          />
+
+          {/* Attachment preview chips */}
+          {attachedFiles.length > 0 && (
+            <div className="attachment-preview-area">
+              {attachedFiles.map((file, idx) => (
+                <div key={idx} className="attachment-chip">
+                  <span className="attachment-icon">📎</span>
+                  <span className="attachment-name">{file.name}</span>
+                  <span className="attachment-size">({(file.size / 1024).toFixed(1)}KB)</span>
+                  <button
+                    className="attachment-remove"
+                    onClick={() => handleRemoveAttachment(idx)}
+                    title="Remove attachment"
+                  >
+                    ×
+                  </button>
+                </div>
+              ))}
+            </div>
+          )}
+
+          {/* Attachment error display */}
+          {attachmentError && (
+            <div className="attachment-error">
+              ⚠️ {attachmentError}
+            </div>
+          )}
+
           <textarea
             ref={inputRef}
             className="chat-input"
@@ -845,14 +1193,24 @@ Remember: You have plenty of space. Use ALL of it to provide a complete, thoroug
                 💬 Follow-up question (no RAG)
               </div>
             )}
-            <button
-              className="chat-send-button"
-              onClick={handleSendMessage}
-              disabled={isLoading || !inputValue.trim() || (!hasActiveSubscription && !hasPromoAccess)}
-              title={(!hasActiveSubscription && !hasPromoAccess) ? 'Login and subscribe to send messages' : undefined}
-            >
-              {isLoading ? '⏳' : (!hasActiveSubscription && !hasPromoAccess) ? '🔒 Login/Subscribe' : '➤ Send'}
-            </button>
+            <div className="chat-buttons">
+              <button
+                className="chat-attachment-button"
+                onClick={handleAttachmentClick}
+                disabled={isLoading || attachedFiles.length >= MAX_ATTACHMENTS}
+                title={attachedFiles.length >= MAX_ATTACHMENTS ? `Maximum ${MAX_ATTACHMENTS} files` : 'Attach file (txt, pdf, csv, tsv, max 1MB)'}
+              >
+                📎
+              </button>
+              <button
+                className="chat-send-button"
+                onClick={handleSendMessage}
+                disabled={isLoading || !inputValue.trim() || (!hasActiveSubscription && !hasPromoAccess)}
+                title={(!hasActiveSubscription && !hasPromoAccess) ? 'Login and subscribe to send messages' : undefined}
+              >
+                {isLoading ? '⏳' : (!hasActiveSubscription && !hasPromoAccess) ? '🔒 Login/Subscribe' : '➤ Send'}
+              </button>
+            </div>
           </div>
         </div>
 
diff --git a/app/components/LLMConfigModal.tsx b/app/components/LLMConfigModal.tsx
index cb4c51e..bb67fc4 100644
--- a/app/components/LLMConfigModal.tsx
+++ b/app/components/LLMConfigModal.tsx
@@ -108,18 +108,49 @@ export default function LLMConfigModal({ isOpen, onClose, onSave }: LLMConfigMod
                 <>
                   <option value="gpt-oss:latest">gpt-oss:latest (Ollama format)</option>
                   <option value="gpt-oss-20b">gpt-oss-20b</option>
+                  <option value="openai/gpt-oss-120b">openai/gpt-oss-120b</option>
+                  <option value="custom">Custom...</option>
+                </>
+              ) : config.provider === 'nilai' ? (
+                <>
+                  <option value="gpt-oss-20b">gpt-oss-20b</option>
+                  <option value="custom">Custom...</option>
                 </>
               ) : (
-                <option value="gpt-oss-20b">gpt-oss-20b</option>
+                <>
+                  <option value="gpt-oss-20b">gpt-oss-20b</option>
+                  <option value="openai/gpt-oss-120b">openai/gpt-oss-120b</option>
+                  <option value="custom">Custom...</option>
+                </>
               )}
             </select>
             <p className="config-help">
-              {config.provider === 'ollama' 
-                ? 'Select the model format that matches your Ollama installation.'
-                : 'Currently only gpt-oss-20b is supported across all providers.'}
+              {config.provider === 'ollama'
+                ? 'Select the model format that matches your Ollama installation or choose Custom to enter your own.'
+                : 'Select a preset model or choose Custom to enter your own model name.'}
             </p>
           </div>
 
+          {config.model === 'custom' && (
+            <div className="config-section">
+              <label className="config-label">
+                <strong>Custom Model Name</strong>
+              </label>
+              <input
+                type="text"
+                className="config-input"
+                value={config.customModel || ''}
+                onChange={(e) =>
+                  setConfig({ ...config, customModel: e.target.value })
+                }
+                placeholder="Enter model name (e.g., gpt-oss-20b, openai/gpt-oss-120b)"
+              />
+              <p className="config-help">
+                Enter the exact model identifier for your provider.
+              </p>
+            </div>
+          )}
+
           {config.provider === 'ollama' && (
             <>
               <div className="config-section">
diff --git a/app/components/OverviewReportModal.tsx b/app/components/OverviewReportModal.tsx
index 2f04efa..46afeb6 100644
--- a/app/components/OverviewReportModal.tsx
+++ b/app/components/OverviewReportModal.tsx
@@ -265,7 +265,7 @@ export default function OverviewReportModal({ isOpen, onClose }: OverviewReportM
       <!DOCTYPE html>
       <html>
         <head>
-          <title>Comprehensive Genetic Overview Report</title>
+          <title>Comprehensive Genetic Overview Report - Monadic DNA Explorer</title>
           <meta charset="UTF-8">
           <style>
             body {
@@ -276,41 +276,81 @@ export default function OverviewReportModal({ isOpen, onClose }: OverviewReportM
               color: #333;
               line-height: 1.6;
             }
+            .report-header {
+              text-align: center;
+              margin-bottom: 3rem;
+              padding-bottom: 2rem;
+              border-bottom: 3px solid #3B82F6;
+            }
+            .report-header h1 {
+              font-size: 2.5rem;
+              color: #111;
+              margin: 0 0 0.5rem 0;
+              border: none;
+              padding: 0;
+            }
+            .report-header .subtitle {
+              font-size: 1.25rem;
+              color: #666;
+              margin: 0.5rem 0 1.5rem 0;
+            }
+            .report-header .tool-info {
+              background: #F0F9FF;
+              border: 2px solid #3B82F6;
+              border-radius: 8px;
+              padding: 1.5rem;
+              margin: 1.5rem 0;
+              text-align: left;
+            }
+            .report-header .tool-info h3 {
+              margin-top: 0;
+              color: #1E40AF;
+              font-size: 1.1rem;
+            }
+            .report-header .tool-info p {
+              margin: 0.5rem 0;
+              color: #374151;
+              line-height: 1.7;
+            }
             h1 {
               color: #111;
               border-bottom: 3px solid #3B82F6;
               padding-bottom: 0.75rem;
+              margin-top: 2rem;
               margin-bottom: 1.5rem;
+              font-size: 2rem;
             }
             h2 {
               color: #222;
-              margin-top: 2rem;
+              margin-top: 2.5rem;
               margin-bottom: 1rem;
               font-size: 1.5rem;
-              border-bottom: 1px solid #ddd;
+              border-bottom: 2px solid #ddd;
               padding-bottom: 0.5rem;
             }
             h3 {
               color: #333;
-              margin-top: 1.5rem;
+              margin-top: 2rem;
               margin-bottom: 0.75rem;
               font-size: 1.25rem;
             }
             h4 {
               color: #444;
-              margin-top: 1rem;
+              margin-top: 1.5rem;
               margin-bottom: 0.5rem;
               font-size: 1.1rem;
             }
             p {
-              margin: 1rem 0;
+              margin: 1.25rem 0;
+              line-height: 1.8;
             }
             ul, ol {
-              margin: 1rem 0;
+              margin: 1.25rem 0;
               padding-left: 2rem;
+              line-height: 1.7;
             }
             li {
-              margin: 0.5rem 0;
+              margin: 0.75rem 0;
             }
             strong {
               color: #111;
@@ -331,6 +371,7 @@ export default function OverviewReportModal({ isOpen, onClose }: OverviewReportM
               padding: 1rem;
               border-radius: 6px;
               overflow-x: auto;
+              line-height: 1.5;
             }
             pre code {
               background: none;
@@ -343,13 +384,17 @@ export default function OverviewReportModal({ isOpen, onClose }: OverviewReportM
             a:hover {
               text-decoration: underline;
             }
-            .header-info {
+            .metadata-box {
               color: #666;
               font-size: 0.9rem;
               margin-bottom: 2rem;
-              padding: 1rem;
+              padding: 1.5rem;
               background: #f5f5f5;
-              border-radius: 6px;
+              border-radius: 8px;
+              border: 1px solid #ddd;
+            }
+            .metadata-box strong {
+              color: #333;
             }
             .disclaimer {
               background: #FEF3C7;
@@ -358,28 +403,80 @@ export default function OverviewReportModal({ isOpen, onClose }: OverviewReportM
               padding: 1.5rem;
               margin: 2rem 0;
             }
+            .disclaimer h4 {
+              margin-top: 0;
+              color: #92400E;
+            }
+            .disclaimer p {
+              margin: 0.5rem 0;
+              color: #78350F;
+            }
             hr {
               border: none;
               border-top: 2px solid #ddd;
               margin: 2rem 0;
             }
+            table {
+              width: 100%;
+              border-collapse: collapse;
+              margin: 1.5rem 0;
+            }
+            table th {
+              background: #f5f5f5;
+              padding: 0.75rem;
+              text-align: left;
+              border: 1px solid #ddd;
+              font-weight: 600;
+            }
+            table td {
+              padding: 0.75rem;
+              border: 1px solid #ddd;
+            }
+            table tr:nth-child(even) {
+              background: #fafafa;
+            }
             @media print {
               body { padding: 1rem; }
               @page { margin: 1.5cm; }
+              .report-header { page-break-after: avoid; }
             }
           </style>
         </head>
         <body>
-          <div class="header-info">
-            <strong>Generated:</strong> ${new Date().toLocaleString()}<br>
-            <strong>Results Analyzed:</strong> ${savedResults.length.toLocaleString()} high-confidence genetic variants<br>
-            <strong>Batches Processed:</strong> ${progress.groupSummaries.length}<br>
-            <strong>Powered by:</strong> OpenAI GPT-4o
+          <div class="report-header">
+            <h1>Comprehensive Genetic Overview Report</h1>
+            <div class="subtitle">Generated by Monadic DNA Explorer</div>
+
+            <div class="tool-info">
+              <h3>About Monadic DNA Explorer</h3>
+              <p><strong>Monadic DNA Explorer</strong> is a personal genomics analysis tool that processes publicly available GWAS (Genome-Wide Association Studies) data to generate personalized genetic insights. This report synthesizes findings from ${savedResults.length.toLocaleString()} high-confidence genetic variants that matched the user's genetic profile out of over 1 million available traits.</p>
+              <p><strong>Analysis Method:</strong> This report uses a map-reduce LLM approach, where genetic data is divided into ${progress.groupSummaries.length} batches, each analyzed independently before being synthesized into comprehensive insights.</p>
+              <p><strong>Data Sources:</strong> Analysis is based on peer-reviewed GWAS studies from the GWAS Catalog and other publicly available genomic databases.</p>
+            </div>
+
+            <div class="disclaimer">
+              <h4>⚠️ Important Medical Disclaimer</h4>
+              <p><strong>This report is for educational and informational purposes only.</strong> It is not intended to diagnose, treat, cure, or prevent any disease or medical condition.</p>
+              <p>The information provided should not be used as a substitute for professional medical advice, diagnosis, or treatment. Always seek the advice of a qualified healthcare provider with any questions regarding a medical condition or genetic findings.</p>
+              <p>Genetic analysis is complex and constantly evolving. Results should be interpreted by qualified medical professionals in the context of complete medical history, family history, and clinical examination.</p>
+            </div>
+
+            <div class="metadata-box">
+              <strong>Report Generated:</strong> ${new Date().toLocaleString()}<br>
+              <strong>Genetic Variants Analyzed:</strong> ${savedResults.length.toLocaleString()} high-confidence variants<br>
+              <strong>Analysis Batches:</strong> ${progress.groupSummaries.length}<br>
+              <strong>LLM Model:</strong> OpenAI GPT-4o<br>
+              <strong>Tool Version:</strong> Monadic DNA Explorer (Experimental)
+            </div>
           </div>
+
           ${finalReportHTML}
           ${mapReportsHTML}
-          <div style="margin-top: 3rem; padding-top: 1rem; border-top: 2px solid #ddd; color: #666; font-size: 0.9rem; text-align: center;">
-            Generated by GWASifier • For Educational Purposes Only
+
+          <div style="margin-top: 3rem; padding-top: 1.5rem; border-top: 2px solid #ddd; color: #666; font-size: 0.9rem; text-align: center;">
+            <p style="margin: 0.5rem 0;"><strong>Generated by Monadic DNA Explorer</strong></p>
+            <p style="margin: 0.5rem 0;">https://monadicdna.com</p>
+            <p style="margin: 0.5rem 0;">For Educational Purposes Only • Not Medical Advice</p>
           </div>
         </body>
       </html>
@@ -425,49 +522,67 @@ export default function OverviewReportModal({ isOpen, onClose }: OverviewReportM
   return (
     <div className="modal-overlay" onClick={handleClose}>
       <div className="modal-content large-modal" onClick={(e) => e.stopPropagation()}>
-        <div className="modal-header">
-          <h2>📊 Comprehensive Genetic Overview Report <span style={{color: '#ff9800', fontSize: '0.8em'}}>(Experimental)</span></h2>
-          <button className="close-button" onClick={handleClose}>×</button>
-        </div>
+        <button className="close-button" onClick={handleClose} style={{
+          position: 'absolute',
+          top: '1rem',
+          right: '1rem',
+          zIndex: 10,
+          background: 'var(--surface-bg)',
+          border: '1px solid var(--border-color)',
+          borderRadius: '6px',
+          width: '32px',
+          height: '32px',
+          display: 'flex',
+          alignItems: 'center',
+          justifyContent: 'center',
+          fontSize: '1.5rem',
+          cursor: 'pointer',
+          color: 'var(--text-primary)'
+        }}>×</button>
 
         <div className="modal-body">
           {isBlocked ? (
             <div style={{
               textAlign: 'center',
               padding: '3rem',
-              background: '#FEF3C7',
+              background: 'var(--modal-bg)',
               borderRadius: '8px',
               border: '2px solid #F59E0B'
             }}>
-              <h3 style={{ marginTop: 0, color: '#92400e' }}>🔒 Premium Feature</h3>
-              <p style={{ color: '#92400e', marginBottom: '1rem' }}>
+              <h3 style={{ marginTop: 0, color: 'var(--text-primary)' }}>🔒 Premium Feature</h3>
+              <p style={{ color: 'var(--text-primary)', marginBottom: '1rem' }}>
                 Overview Report requires an active premium subscription.
               </p>
-              <p style={{ fontSize: '0.875rem', color: '#78350f' }}>
+              <p style={{ fontSize: '0.875rem', color: 'var(--text-secondary)' }}>
                 Subscribe for $4.99/month to unlock comprehensive LLM-powered analysis
                 of all your genetic results.
               </p>
             </div>
           ) : progress.phase === 'idle' ? (
-            <div>
+            <div style={{
+              background: 'var(--modal-bg)',
+              borderRadius: '8px',
+              padding: '1.5rem'
+            }}>
               <div className="overview-report-intro">
-                <p>
+                <h2 style={{ marginTop: 0, marginBottom: '1rem', color: 'var(--text-primary)' }}>
+                  📊 Comprehensive Genetic Overview Report <span style={{color: 'var(--accent-yellow)', fontSize: '0.8em'}}>(Experimental)</span>
+                </h2>
+                <p style={{ color: 'var(--text-primary)' }}>
                   <strong>Generate a comprehensive overview report</strong> analyzing all {savedResults.length.toLocaleString()} of your high-confidence genetic results.
                 </p>
-                <p>
-                  This report uses advanced LLM to identify patterns, themes, and actionable insights across your entire genetic profile.
+                <p style={{ color: 'var(--text-secondary)' }}>
+                  This report uses AI to identify patterns, themes, and actionable insights across your entire genetic profile.
                 </p>
 
                 <div style={{
-                  background: '#EFF6FF',
-                  border: '1px solid #BFDBFE',
-                  borderRadius: '6px',
-                  padding: '1rem',
+                  borderLeft: '3px solid var(--accent-blue)',
+                  paddingLeft: '1rem',
                   margin: '1.5rem 0'
                 }}>
-                  <h4 style={{ marginTop: 0, fontSize: '1rem' }}>What's included:</h4>
-                  <ul style={{ marginBottom: 0, paddingLeft: '1.5rem' }}>
-                    <li>Analysis by major health categories (cardiovascular, metabolic, neurological, etc.)</li>
+                  <h4 style={{ marginTop: 0, marginBottom: '0.75rem', fontSize: '1rem', color: 'var(--text-primary)' }}>What's included:</h4>
+                  <ul style={{ marginBottom: 0, marginTop: 0, paddingLeft: '1.5rem', color: 'var(--text-primary)' }}>
+                    <li>Analysis by major categories (traits, conditions, physiological factors, etc.)</li>
                     <li>Identification of genetic strengths and areas to monitor</li>
                     <li>Personalized action plan based on your background</li>
                     <li>Cross-system insights and connections</li>
@@ -476,20 +591,34 @@ export default function OverviewReportModal({ isOpen, onClose }: OverviewReportM
                 </div>
 
                 <div style={{
-                  background: '#FEF3C7',
-                  border: '1px solid #FDE68A',
-                  borderRadius: '6px',
-                  padding: '1rem',
+                  borderLeft: '3px solid var(--accent-yellow)',
+                  paddingLeft: '1rem',
+                  margin: '1.5rem 0'
+                }}>
+                  <p style={{ margin: 0, fontSize: '0.9rem', color: 'var(--text-primary)' }}>
+                    <strong>⚠️ Experimental Feature:</strong> This feature uses a map/reduce approach where your data is split into batches, each analyzed separately by an LLM, then synthesized into a final report. Generation time is highly variable and difficult to predict. This process involves multiple LLM calls and may take several minutes to complete.
+                  </p>
+                </div>
+
+                <div style={{
+                  borderLeft: '3px solid var(--accent-green)',
+                  paddingLeft: '1rem',
                   margin: '1.5rem 0'
                 }}>
-                  <p style={{ margin: 0, fontSize: '0.9rem' }}>
-                    <strong>⏱️ Generation time:</strong> Approximately 3-4 minutes
-                    <br />
-                    <strong>🔒 Privacy:</strong> All processing happens in your browser - data never leaves your device except via nilAI TEE
-                    <br />
-                    <strong>📊 Analysis depth:</strong> {savedResults.length.toLocaleString()} genetic variants analyzed in 5 groups
-                    <br />
-                    <strong>🤖 LLM calls:</strong> 6 total (5 analysis + 1 synthesis)
+                  <p style={{ margin: '0 0 0.5rem 0', fontSize: '0.9rem', color: 'var(--text-primary)' }}>
+                    <strong>🔒 Privacy:</strong> Your genetic data is processed securely through nilAI's confidential computing environment. Analysis requests are encrypted and processed in a trusted execution environment that prevents any access to your data.
+                  </p>
+                  <p style={{ margin: '0.5rem 0', fontSize: '0.9rem', color: 'var(--text-secondary)' }}>
+                    <strong>📊 Analysis depth:</strong> {savedResults.length.toLocaleString()} genetic variants
+                  </p>
+                  <p style={{ margin: '0.5rem 0 0 0', fontSize: '0.9rem', color: 'var(--text-secondary)' }}>
+                    <strong>🤖 LLM calls:</strong> {(() => {
+                      const highConfResults = savedResults.filter(r =>
+                        (typeof r.sampleSize === 'number' ? r.sampleSize : 0) >= 5000
+                      );
+                      const batchCount = Math.max(4, Math.min(32, Math.ceil(highConfResults.length / 3000)));
+                      return `${batchCount + 1} total (${batchCount} batch analyses + 1 synthesis)`;
+                    })()}
                   </p>
                 </div>
 
@@ -497,13 +626,13 @@ export default function OverviewReportModal({ isOpen, onClose }: OverviewReportM
                   className="primary-button"
                   onClick={handleGenerate}
                   disabled={savedResults.length === 0}
-                  style={{ width: '100%', padding: '1rem', fontSize: '1rem' }}
+                  style={{ width: '100%', padding: '1rem', fontSize: '1rem', marginTop: '1.5rem' }}
                 >
                   Generate Overview Report
                 </button>
 
                 {savedResults.length < 10000 && (
-                  <p style={{ marginTop: '1rem', fontSize: '0.85rem', color: '#666', textAlign: 'center' }}>
+                  <p style={{ marginTop: '1rem', fontSize: '0.85rem', color: 'var(--text-secondary)', textAlign: 'center' }}>
                     ⚠️ You have {savedResults.length.toLocaleString()} results. For best results, run "Run All" to analyze more studies.
                   </p>
                 )}
@@ -533,9 +662,13 @@ export default function OverviewReportModal({ isOpen, onClose }: OverviewReportM
               </button>
             </div>
           ) : progress.phase === 'complete' && progress.finalReport ? (
-            <div className="overview-report-result">
+            <div style={{
+              background: 'var(--modal-bg)',
+              borderRadius: '8px',
+              padding: '1.5rem'
+            }}>
               <div style={{
-                marginBottom: '1rem',
+                marginBottom: '1.5rem',
                 display: 'flex',
                 gap: '0.5rem',
                 justifyContent: 'flex-end'
@@ -548,24 +681,108 @@ export default function OverviewReportModal({ isOpen, onClose }: OverviewReportM
                 </button>
               </div>
 
-              <div className="markdown-content">
+              <div style={{
+                background: 'var(--surface-bg)',
+                border: '1px solid var(--border-color)',
+                borderRadius: '6px',
+                padding: '1rem',
+                marginBottom: '2rem',
+                fontSize: '0.9rem',
+                color: 'var(--text-secondary)'
+              }}>
+                <strong style={{ color: 'var(--text-primary)' }}>Generated:</strong> {new Date().toLocaleString()}<br/>
+                <strong style={{ color: 'var(--text-primary)' }}>Results Analyzed:</strong> {savedResults.length.toLocaleString()} high-confidence genetic variants<br/>
+                <strong style={{ color: 'var(--text-primary)' }}>Batches Processed:</strong> {progress.groupSummaries.length}
+              </div>
+
+              <div className="markdown-content" style={{
+                color: 'var(--text-primary)',
+                lineHeight: '1.7'
+              }}>
                 <ReactMarkdown remarkPlugins={[remarkGfm]}>
                   {progress.finalReport}
                 </ReactMarkdown>
               </div>
+
+              {progress.groupSummaries.length > 0 && (
+                <div style={{
+                  marginTop: '3rem',
+                  paddingTop: '2rem',
+                  borderTop: '2px solid var(--border-color)'
+                }}>
+                  <h2 style={{
+                    color: 'var(--text-primary)',
+                    marginTop: 0,
+                    marginBottom: '1rem',
+                    fontSize: '1.5rem',
+                    borderBottom: '2px solid var(--accent-blue)',
+                    paddingBottom: '0.5rem'
+                  }}>
+                    Appendix: Detailed Batch Analysis
+                  </h2>
+                  <p style={{
+                    color: 'var(--text-secondary)',
+                    marginBottom: '2rem',
+                    fontSize: '0.95rem'
+                  }}>
+                    The following sections contain the detailed analysis from each batch of genetic variants that were synthesized into the main report above.
+                  </p>
+
+                  {progress.groupSummaries.map((gs, idx) => (
+                    <div key={idx} style={{
+                      marginBottom: '3rem',
+                      paddingBottom: '2rem',
+                      borderBottom: idx < progress.groupSummaries.length - 1 ? `1px solid var(--border-color)` : 'none'
+                    }}>
+                      <h3 style={{
+                        color: 'var(--accent-blue)',
+                        marginTop: 0,
+                        marginBottom: '1rem',
+                        fontSize: '1.25rem'
+                      }}>
+                        Batch {gs.groupNumber}
+                      </h3>
+                      <div className="markdown-content" style={{
+                        color: 'var(--text-primary)',
+                        lineHeight: '1.7'
+                      }}>
+                        <ReactMarkdown remarkPlugins={[remarkGfm]}>
+                          {gs.summary}
+                        </ReactMarkdown>
+                      </div>
+                    </div>
+                  ))}
+                </div>
+              )}
+
+              <div style={{
+                marginTop: '3rem',
+                paddingTop: '1rem',
+                borderTop: '2px solid var(--border-color)',
+                color: 'var(--text-secondary)',
+                fontSize: '0.9rem',
+                textAlign: 'center'
+              }}>
+                Generated by GWASifier • For Educational Purposes Only
+              </div>
             </div>
           ) : (
-            <div className="generation-progress">
-              <div style={{ textAlign: 'center', padding: '2rem' }}>
-                <h3>
+            <div style={{
+              background: 'var(--modal-bg)',
+              borderRadius: '8px',
+              padding: '1.5rem'
+            }}>
+              <div style={{ textAlign: 'center', padding: '1rem' }}>
+                <h2 style={{ marginTop: 0, marginBottom: '0.5rem', color: 'var(--text-primary)' }}>
                   {progress.phase === 'map' ? '🔍 Analyzing Results' : '🤖 Synthesizing Report'}
-                </h3>
-                <p style={{ fontSize: '0.9rem', color: '#666' }}>{progress.message}</p>
+                </h2>
+                <p style={{ fontSize: '0.9rem', color: 'var(--text-secondary)' }}>{progress.message}</p>
 
                 <div style={{
                   width: '100%',
                   height: '24px',
-                  background: '#E5E7EB',
+                  background: 'var(--surface-bg)',
+                  border: '1px solid var(--border-color)',
                   borderRadius: '12px',
                   overflow: 'hidden',
                   margin: '1.5rem 0'
@@ -573,91 +790,89 @@ export default function OverviewReportModal({ isOpen, onClose }: OverviewReportM
                   <div style={{
                     width: `${progress.progress}%`,
                     height: '100%',
-                    background: 'linear-gradient(90deg, #3B82F6, #10B981)',
+                    background: 'linear-gradient(90deg, var(--accent-blue), var(--accent-green))',
                     transition: 'width 0.5s ease'
                   }} />
                 </div>
 
                 <div style={{ display: 'flex', justifyContent: 'space-between', alignItems: 'center', marginTop: '1rem' }}>
-                  <p style={{ fontSize: '1.5rem', fontWeight: 'bold', color: '#3B82F6' }}>
+                  <p style={{ fontSize: '1.5rem', fontWeight: 'bold', color: 'var(--accent-blue)' }}>
                     {progress.progress}%
                   </p>
-                  <p style={{ fontSize: '1.2rem', fontWeight: '600', color: '#10B981' }}>
+                  <p style={{ fontSize: '1.2rem', fontWeight: '600', color: 'var(--accent-green)' }}>
                     ⏱️ {formatTime(elapsedTime)}
                   </p>
                 </div>
 
                 {progress.currentGroup && progress.totalGroups && (
-                  <p style={{ fontSize: '0.85rem', color: '#666', marginTop: '1rem' }}>
+                  <p style={{ fontSize: '0.85rem', color: 'var(--text-secondary)', marginTop: '1rem' }}>
                     Batch {progress.currentGroup} of {progress.totalGroups}
                   </p>
                 )}
 
                 {progress.estimatedTimeRemaining !== undefined && progress.estimatedTimeRemaining > 0 ? (
-                  <p style={{ fontSize: '0.85rem', color: '#3B82F6', marginTop: '0.5rem', fontWeight: '600' }}>
+                  <p style={{ fontSize: '0.85rem', color: 'var(--accent-blue)', marginTop: '0.5rem', fontWeight: '600' }}>
                     ETA: {formatTime(progress.estimatedTimeRemaining)} remaining
                     {progress.averageTimePerGroup && (
-                      <span style={{ fontSize: '0.75rem', color: '#666', display: 'block', marginTop: '0.25rem' }}>
+                      <span style={{ fontSize: '0.75rem', color: 'var(--text-secondary)', display: 'block', marginTop: '0.25rem' }}>
                         (~{progress.averageTimePerGroup.toFixed(0)}s per batch)
                       </span>
                     )}
                   </p>
                 ) : (
-                  <p style={{ fontSize: '0.75rem', color: '#999', marginTop: '1.5rem' }}>
-                    Analyzing your genetic data... This may take 60-90 minutes.
+                  <p style={{ fontSize: '0.75rem', color: 'var(--text-muted)', marginTop: '1.5rem' }}>
+                    Analyzing your genetic data... This may take up to 10 minutes.
                   </p>
                 )}
-              </div>
 
-              {/* Show intermediate reports as they come in */}
-              {progress.groupSummaries.length > 0 && (
-                <div style={{
-                  marginTop: '2rem',
-                  padding: '1.5rem',
-                  background: '#F9FAFB',
-                  borderRadius: '8px',
-                  border: '1px solid #E5E7EB'
-                }}>
-                  <h4 style={{ margin: '0 0 1rem 0', color: '#374151' }}>
-                    📝 Intermediate Analysis ({progress.groupSummaries.length} batches completed)
-                  </h4>
+                {/* Show intermediate reports as they come in */}
+                {progress.groupSummaries.length > 0 && (
                   <div style={{
-                    display: 'grid',
-                    gridTemplateColumns: 'repeat(auto-fill, minmax(120px, 1fr))',
-                    gap: '0.5rem',
-                    maxHeight: '300px',
-                    overflowY: 'auto'
+                    marginTop: '2rem',
+                    paddingTop: '1.5rem',
+                    borderTop: '1px solid var(--border-color)'
                   }}>
-                    {progress.groupSummaries.map((gs, idx) => (
-                      <button
-                        key={idx}
-                        onClick={() => setSelectedBatchIndex(idx)}
-                        style={{
-                          padding: '0.75rem',
-                          background: '#FFFFFF',
-                          border: '1px solid #D1D5DB',
-                          borderRadius: '6px',
-                          cursor: 'pointer',
-                          fontSize: '0.875rem',
-                          color: '#374151',
-                          transition: 'all 0.2s',
-                          fontWeight: '500'
-                        }}
-                        onMouseOver={(e) => {
-                          e.currentTarget.style.background = '#F3F4F6';
-                          e.currentTarget.style.borderColor = '#3B82F6';
-                        }}
-                        onMouseOut={(e) => {
-                          e.currentTarget.style.background = '#FFFFFF';
-                          e.currentTarget.style.borderColor = '#D1D5DB';
-                        }}
-                      >
-                        Batch {gs.groupNumber}
-                      </button>
-                    ))}
+                    <h4 style={{ margin: '0 0 1rem 0', color: 'var(--text-primary)' }}>
+                      📝 Intermediate Analysis ({progress.groupSummaries.length} batches completed)
+                    </h4>
+                    <div style={{
+                      display: 'grid',
+                      gridTemplateColumns: 'repeat(auto-fill, minmax(120px, 1fr))',
+                      gap: '0.5rem',
+                      maxHeight: '300px',
+                      overflowY: 'auto'
+                    }}>
+                      {progress.groupSummaries.map((gs, idx) => (
+                        <button
+                          key={idx}
+                          onClick={() => setSelectedBatchIndex(idx)}
+                          style={{
+                            padding: '0.75rem',
+                            background: 'var(--surface-bg)',
+                            border: '1px solid var(--border-color)',
+                            borderRadius: '6px',
+                            cursor: 'pointer',
+                            fontSize: '0.875rem',
+                            color: 'var(--text-primary)',
+                            transition: 'all 0.2s',
+                            fontWeight: '500'
+                          }}
+                          onMouseOver={(e) => {
+                            e.currentTarget.style.background = 'var(--border-color)';
+                            e.currentTarget.style.borderColor = 'var(--accent-blue)';
+                          }}
+                          onMouseOut={(e) => {
+                            e.currentTarget.style.background = 'var(--surface-bg)';
+                            e.currentTarget.style.borderColor = 'var(--border-color)';
+                          }}
+                        >
+                          Batch {gs.groupNumber}
+                        </button>
+                      ))}
+                    </div>
                   </div>
-                </div>
-              )}
+                )}
+              </div>
 
               {/* Batch Detail Modal */}
               {selectedBatchIndex !== null && progress.groupSummaries[selectedBatchIndex] && (
diff --git a/app/components/PaymentModal.tsx b/app/components/PaymentModal.tsx
index 52bfe0b..84aaef2 100644
--- a/app/components/PaymentModal.tsx
+++ b/app/components/PaymentModal.tsx
@@ -3,7 +3,7 @@
 import { useState, useEffect } from 'react';
 import { useDynamicContext } from '@dynamic-labs/sdk-react-core';
 import { parseUnits, encodeFunctionData, createPublicClient, http, formatUnits } from 'viem';
-import { mainnet, base, arbitrum, optimism, polygon } from 'viem/chains';
+import { mainnet, base, arbitrum, optimism, polygon, sepolia } from 'viem/chains';
 import { verifyPromoCode } from '@/lib/prime-verification';
 import StripeSubscriptionForm from './StripeSubscriptionForm';
 import { trackSubscribedWithPromoCode, trackSubscribedWithCreditCard, trackSubscribedWithStablecoin } from '@/lib/analytics';
@@ -16,7 +16,7 @@ interface PaymentModalProps {
 
 type Currency = 'USDC' | 'USDT' | 'DAI';
 type PaymentType = 'stablecoin' | 'card' | 'promo';
-type Step = 'choice' | 'promo' | 'amount' | 'currency' | 'confirm' | 'processing' | 'card-payment' | 'card-success';
+type Step = 'choice' | 'promo' | 'amount' | 'currency' | 'confirm' | 'processing' | 'confirming' | 'card-payment' | 'card-success';
 
 export default function PaymentModal({ isOpen, onClose, onSuccess }: PaymentModalProps) {
   const { primaryWallet } = useDynamicContext();
@@ -28,8 +28,26 @@ export default function PaymentModal({ isOpen, onClose, onSuccess }: PaymentModa
   const [error, setError] = useState('');
   const [promoCode, setPromoCode] = useState('');
   const [promoMessage, setPromoMessage] = useState<{ type: 'success' | 'error' | ''; text: string }>({ type: '', text: '' });
+  const [transactionHash, setTransactionHash] = useState<string>('');
+  const [retryCount, setRetryCount] = useState(0);
 
   const paymentWallet = process.env.NEXT_PUBLIC_EVM_PAYMENT_WALLET_ADDRESS || '';
+  const testnetEnabled = process.env.NEXT_PUBLIC_ENABLE_TESTNET_CHAINS === 'true';
+
+  // Block explorer URLs for each chain
+  const BLOCK_EXPLORERS: Record<string, string> = {
+    'Ethereum': 'https://etherscan.io',
+    'Base': 'https://basescan.org',
+    'Arbitrum One': 'https://arbiscan.io',
+    'OP Mainnet': 'https://optimistic.etherscan.io',
+    'Polygon': 'https://polygonscan.com',
+    'Sepolia': 'https://sepolia.etherscan.io',
+  };
+
+  const getBlockExplorerLink = (txHash: string, chain: string): string => {
+    const baseUrl = BLOCK_EXPLORERS[chain] || 'https://etherscan.io';
+    return `${baseUrl}/tx/${txHash}`;
+  };
 
   const USDC_CONTRACTS: Record<string, string> = {
     'Ethereum': process.env.NEXT_PUBLIC_USDC_CONTRACT_ETHEREUM || '0xA0b86991c6218b36c1d19D4a2e9Eb0cE3606eB48',
@@ -37,6 +55,9 @@ export default function PaymentModal({ isOpen, onClose, onSuccess }: PaymentModa
     'Arbitrum One': process.env.NEXT_PUBLIC_USDC_CONTRACT_ARBITRUM || '0xaf88d065e77c8cC2239327C5EDb3A432268e5831',
     'OP Mainnet': process.env.NEXT_PUBLIC_USDC_CONTRACT_OPTIMISM || '0x0b2C639c533813f4Aa9D7837CAf62653d097Ff85',
     'Polygon': process.env.NEXT_PUBLIC_USDC_CONTRACT_POLYGON || '0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359',
+    ...(testnetEnabled ? {
+      'Sepolia': process.env.NEXT_PUBLIC_USDC_CONTRACT_SEPOLIA || '0x1c7D4B196Cb0C7B01d743Fbc6116a902379C7238',
+    } : {}),
   };
 
   const USDT_CONTRACTS: Record<string, string> = {
@@ -45,6 +66,9 @@ export default function PaymentModal({ isOpen, onClose, onSuccess }: PaymentModa
     'Arbitrum One': process.env.NEXT_PUBLIC_USDT_CONTRACT_ARBITRUM || '0xFd086bC7CD5C481DCC9C85ebE478A1C0b69FCbb9',
     'OP Mainnet': process.env.NEXT_PUBLIC_USDT_CONTRACT_OPTIMISM || '0x94b008aA00579c1307B0EF2c499aD98a8ce58e58',
     'Polygon': process.env.NEXT_PUBLIC_USDT_CONTRACT_POLYGON || '0xc2132D05D31c914a87C6611C10748AEb04B58e8F',
+    ...(testnetEnabled ? {
+      'Sepolia': process.env.NEXT_PUBLIC_USDT_CONTRACT_SEPOLIA || '0xaA8E23Fb1079EA71e0a56F48a2aA51851D8433D0',
+    } : {}),
   };
 
   const DAI_CONTRACTS: Record<string, string> = {
@@ -53,6 +77,9 @@ export default function PaymentModal({ isOpen, onClose, onSuccess }: PaymentModa
     'Arbitrum One': process.env.NEXT_PUBLIC_DAI_CONTRACT_ARBITRUM || '0xDA10009cBd5D07dd0CeCc66161FC93D7c9000da1',
     'OP Mainnet': process.env.NEXT_PUBLIC_DAI_CONTRACT_OPTIMISM || '0xDA10009cBd5D07dd0CeCc66161FC93D7c9000da1',
     'Polygon': process.env.NEXT_PUBLIC_DAI_CONTRACT_POLYGON || '0x8f3Cf7ad23Cd3CaDbD9735AFf958023239c6A063',
+    ...(testnetEnabled ? {
+      'Sepolia': process.env.NEXT_PUBLIC_DAI_CONTRACT_SEPOLIA || '0xFF34B3d4Aee8ddCd6F9AFFFB6Fe49bD371b8a357',
+    } : {}),
   };
 
   // Map chain names to viem chain objects
@@ -62,6 +89,9 @@ export default function PaymentModal({ isOpen, onClose, onSuccess }: PaymentModa
     'Arbitrum One': arbitrum,
     'OP Mainnet': optimism,
     'Polygon': polygon,
+    ...(testnetEnabled ? {
+      'Sepolia': sepolia,
+    } : {}),
   };
 
   // Check token balance for user's wallet
@@ -157,6 +187,50 @@ export default function PaymentModal({ isOpen, onClose, onSuccess }: PaymentModa
     }
   };
 
+  // Poll subscription status after blockchain payment
+  const pollSubscriptionStatus = async (walletAddress: string, maxAttempts: number = 18) => {
+    const POLL_INTERVAL = 10000; // 10 seconds
+
+    for (let attempt = 1; attempt <= maxAttempts; attempt++) {
+      setRetryCount(attempt);
+
+      try {
+        console.log(`[PaymentModal] Checking subscription status (attempt ${attempt}/${maxAttempts})...`);
+
+        // Query API directly
+        const response = await fetch('/api/check-subscription', {
+          method: 'POST',
+          headers: { 'Content-Type': 'application/json' },
+          body: JSON.stringify({ walletAddress }),
+        });
+
+        if (response.ok) {
+          const result = await response.json();
+
+          if (result.success && result.subscription.isActive) {
+            console.log('[PaymentModal] Subscription activated!');
+            // Success! Subscription is active
+            setTimeout(() => {
+              onSuccess();
+              onClose();
+            }, 1000);
+            return;
+          }
+        }
+      } catch (error) {
+        console.error('[PaymentModal] Error checking subscription:', error);
+      }
+
+      // Wait before next attempt (unless it's the last attempt)
+      if (attempt < maxAttempts) {
+        await new Promise(resolve => setTimeout(resolve, POLL_INTERVAL));
+      }
+    }
+
+    // Max attempts reached - show timeout message
+    setError('Transaction confirmed but subscription verification is taking longer than expected. Please refresh the page in a few minutes to check your subscription status.');
+  };
+
   const handleCardPaymentSuccess = () => {
     // Clear subscription cache so next check will fetch fresh data
     if (primaryWallet?.address) {
@@ -273,11 +347,13 @@ export default function PaymentModal({ isOpen, onClose, onSuccess }: PaymentModa
       const durationDays = Math.round((parseFloat(amount || '0') / 4.99) * 30);
       trackSubscribedWithStablecoin(durationDays);
 
-      // Success
-      setTimeout(() => {
-        onSuccess();
-        onClose();
-      }, 1000);
+      // Store transaction hash and switch to confirming step
+      setTransactionHash(txHash);
+      setStep('confirming');
+      setRetryCount(0);
+
+      // Start polling for subscription status
+      await pollSubscriptionStatus(primaryWallet.address!);
 
     } catch (err: any) {
       console.error('Payment failed:', err);
@@ -482,6 +558,7 @@ export default function PaymentModal({ isOpen, onClose, onSuccess }: PaymentModa
             {connectedChain && (
               <div className="chain-badge">
                 Connected to: <strong>{connectedChain}</strong>
+                {connectedChain === 'Sepolia' && <span style={{ marginLeft: '0.5rem' }}>🧪 TESTNET</span>}
               </div>
             )}
 
@@ -636,6 +713,48 @@ export default function PaymentModal({ isOpen, onClose, onSuccess }: PaymentModa
           </div>
         )}
 
+        {step === 'confirming' && (
+          <div className="payment-step processing">
+            <div className="spinner-large"></div>
+            <h3>Waiting for confirmation...</h3>
+            <p>Your transaction has been sent to the blockchain</p>
+
+            {transactionHash && connectedChain && (
+              <div style={{ margin: '1.5rem 0', padding: '1rem', background: '#f3f4f6', borderRadius: '8px' }}>
+                <p style={{ fontSize: '0.875rem', color: '#6b7280', marginBottom: '0.5rem' }}>
+                  Transaction Hash:
+                </p>
+                <a
+                  href={getBlockExplorerLink(transactionHash, connectedChain)}
+                  target="_blank"
+                  rel="noopener noreferrer"
+                  style={{
+                    fontSize: '0.875rem',
+                    color: '#3b82f6',
+                    wordBreak: 'break-all',
+                    textDecoration: 'underline',
+                  }}
+                >
+                  {transactionHash.slice(0, 10)}...{transactionHash.slice(-8)}
+                </a>
+              </div>
+            )}
+
+            <p className="processing-note">
+              Checking subscription status... (attempt {retryCount} of 18)
+            </p>
+            <p className="processing-note" style={{ fontSize: '0.75rem', marginTop: '0.5rem' }}>
+              Usually takes 1-2 minutes. Do not close this window.
+            </p>
+
+            {error && (
+              <div className="error-message" style={{ marginTop: '1rem' }}>
+                ⚠️ {error}
+              </div>
+            )}
+          </div>
+        )}
+
         <style jsx>{`
           .modal-overlay {
             position: fixed;
diff --git a/app/components/PremiumPaywall.tsx b/app/components/PremiumPaywall.tsx
index 320ac23..8dfcf96 100644
--- a/app/components/PremiumPaywall.tsx
+++ b/app/components/PremiumPaywall.tsx
@@ -72,8 +72,8 @@ export function PremiumPaywall({ children }: PremiumPaywallProps) {
         // Ignore
       }
     }
-    // Also refresh subscription
-    setTimeout(() => refreshSubscription(), 5000);
+    // PaymentModal now handles subscription polling automatically
+    // No need to refresh here
   };
 
   // Always show content
diff --git a/app/globals.css b/app/globals.css
index d67d558..5736ae9 100644
--- a/app/globals.css
+++ b/app/globals.css
@@ -17,6 +17,12 @@
   --accent-green: #10B981;
   --accent-yellow: #F59E0B;
   --accent-red: #EF4444;
+  --modal-bg: #FFFFFF;
+  --section-bg: #EFF6FF;
+  --warning-bg: #FEF3C7;
+  --warning-border: #FDE68A;
+  --info-bg: #EFF6FF;
+  --info-border: #BFDBFE;
 }
 
 :root[data-theme="dark"] {
@@ -32,6 +38,12 @@
   --text-primary: #FBFBFB;
   --text-secondary: rgba(251, 251, 251, 0.7);
   --text-muted: rgba(251, 251, 251, 0.5);
+  --modal-bg: rgba(10, 10, 10, 0.95);
+  --section-bg: rgba(31, 41, 55, 0.5);
+  --warning-bg: rgba(120, 53, 15, 0.3);
+  --warning-border: rgba(245, 158, 11, 0.5);
+  --info-bg: rgba(31, 41, 55, 0.6);
+  --info-border: rgba(59, 130, 246, 0.4);
 }
 
 * {
@@ -4543,6 +4555,248 @@ details[open] .summary-arrow {
   cursor: not-allowed;
 }
 
+/* Attachment UI Styles */
+.ai-chat-inline .chat-buttons {
+  display: flex;
+  gap: 0.5rem;
+  align-items: center;
+}
+
+.ai-chat-inline .chat-attachment-button {
+  padding: 0.6rem 1rem;
+  background: var(--surface-bg);
+  color: var(--text-primary);
+  border: 1px solid var(--border-color);
+  border-radius: 8px;
+  font-size: 1.2rem;
+  cursor: pointer;
+  transition: all 0.2s ease;
+}
+
+.ai-chat-inline .chat-attachment-button:hover:not(:disabled) {
+  background: var(--secondary-bg);
+  border-color: var(--accent-blue);
+  transform: translateY(-1px);
+}
+
+.ai-chat-inline .chat-attachment-button:disabled {
+  opacity: 0.5;
+  cursor: not-allowed;
+}
+
+.ai-chat-inline .attachment-preview-area {
+  display: flex;
+  flex-wrap: wrap;
+  gap: 0.5rem;
+  padding: 0.5rem;
+  background: var(--info-bg);
+  border: 1px solid var(--info-border);
+  border-radius: 6px;
+}
+
+.ai-chat-inline .attachment-chip {
+  display: flex;
+  align-items: center;
+  gap: 0.5rem;
+  padding: 0.4rem 0.75rem;
+  background: var(--primary-bg);
+  border: 1px solid var(--border-color);
+  border-radius: 6px;
+  font-size: 0.85rem;
+  color: var(--text-primary);
+}
+
+.ai-chat-inline .attachment-icon {
+  font-size: 1rem;
+}
+
+.ai-chat-inline .attachment-name {
+  font-weight: 500;
+  max-width: 200px;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+}
+
+.ai-chat-inline .attachment-size {
+  color: var(--text-muted);
+  font-size: 0.8rem;
+}
+
+.ai-chat-inline .attachment-remove {
+  background: none;
+  border: none;
+  color: var(--accent-red);
+  font-size: 1.5rem;
+  line-height: 1;
+  cursor: pointer;
+  padding: 0 0.25rem;
+  transition: all 0.2s ease;
+}
+
+.ai-chat-inline .attachment-remove:hover {
+  color: #dc2626;
+  transform: scale(1.2);
+}
+
+.ai-chat-inline .attachment-error {
+  padding: 0.5rem 0.75rem;
+  background: rgba(239, 68, 68, 0.1);
+  border: 1px solid rgba(239, 68, 68, 0.3);
+  border-radius: 6px;
+  color: var(--accent-red);
+  font-size: 0.85rem;
+}
+
+/* Attachment display in messages */
+.ai-chat-inline .attachments-used {
+  margin-top: 0.75rem;
+  padding-top: 0.75rem;
+  border-top: 1px solid var(--border-color);
+}
+
+.ai-chat-inline .attachments-toggle {
+  background: var(--info-bg);
+  border: 1px solid var(--info-border);
+  border-radius: 6px;
+  padding: 0.5rem 0.75rem;
+  font-size: 0.85rem;
+  color: var(--text-primary);
+  cursor: pointer;
+  transition: all 0.2s ease;
+  width: 100%;
+  text-align: left;
+  display: flex;
+  align-items: center;
+  gap: 0.5rem;
+}
+
+.ai-chat-inline .attachments-toggle:hover {
+  background: var(--secondary-bg);
+  border-color: var(--accent-blue);
+}
+
+.ai-chat-inline .attachments-list {
+  margin-top: 0.5rem;
+  display: flex;
+  flex-direction: column;
+  gap: 0.75rem;
+}
+
+.ai-chat-inline .attachment-item {
+  padding: 0.75rem;
+  background: var(--surface-bg);
+  border: 1px solid var(--border-color);
+  border-radius: 6px;
+}
+
+.ai-chat-inline .attachment-header {
+  display: flex;
+  justify-content: space-between;
+  align-items: center;
+  margin-bottom: 0.5rem;
+  padding-bottom: 0.5rem;
+  border-bottom: 1px solid var(--border-color);
+}
+
+.ai-chat-inline .attachment-file-name {
+  font-weight: 600;
+  color: var(--text-primary);
+  font-size: 0.9rem;
+}
+
+.ai-chat-inline .attachment-meta {
+  font-size: 0.8rem;
+  color: var(--text-muted);
+}
+
+.ai-chat-inline .attachment-content-preview {
+  margin-top: 0.5rem;
+}
+
+.ai-chat-inline .attachment-content-preview pre {
+  background: var(--primary-bg);
+  padding: 0.75rem;
+  border-radius: 4px;
+  font-size: 0.8rem;
+  color: var(--text-secondary);
+  overflow-x: auto;
+  white-space: pre-wrap;
+  word-wrap: break-word;
+  margin: 0;
+  border: 1px solid var(--border-color);
+}
+
+/* Provider tip banner */
+.ai-chat-inline .provider-tip {
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  padding: 1rem 1.5rem;
+  margin: 0;
+  border-bottom: 1px solid var(--border-color);
+  gap: 1rem;
+  transition: all 0.3s ease;
+}
+
+.ai-chat-inline .provider-tip.privacy {
+  background: linear-gradient(135deg, rgba(16, 185, 129, 0.1) 0%, rgba(59, 130, 246, 0.1) 100%);
+  border-left: 4px solid var(--accent-green);
+}
+
+.ai-chat-inline .provider-tip.performance {
+  background: linear-gradient(135deg, rgba(245, 158, 11, 0.1) 0%, rgba(239, 68, 68, 0.1) 100%);
+  border-left: 4px solid var(--accent-yellow);
+}
+
+.ai-chat-inline .provider-tip-content {
+  display: flex;
+  align-items: center;
+  gap: 1rem;
+  flex: 1;
+}
+
+.ai-chat-inline .provider-tip-icon {
+  font-size: 1.8rem;
+  line-height: 1;
+}
+
+.ai-chat-inline .provider-tip-text {
+  display: flex;
+  flex-direction: column;
+  gap: 0.25rem;
+}
+
+.ai-chat-inline .provider-tip-message {
+  font-weight: 600;
+  font-size: 0.95rem;
+  color: var(--text-primary);
+}
+
+.ai-chat-inline .provider-tip-suggestion {
+  font-size: 0.85rem;
+  color: var(--text-secondary);
+}
+
+.ai-chat-inline .provider-tip-dismiss {
+  background: none;
+  border: none;
+  color: var(--text-muted);
+  font-size: 1.8rem;
+  line-height: 1;
+  cursor: pointer;
+  padding: 0 0.25rem;
+  transition: all 0.2s ease;
+  flex-shrink: 0;
+  align-self: flex-start;
+  margin-left: 0.5rem;
+}
+
+.ai-chat-inline .provider-tip-dismiss:hover {
+  color: var(--text-primary);
+  transform: scale(1.2);
+}
+
 .ai-chat-inline .chat-input {
   flex: 1;
   padding: 0.75rem;
@@ -5266,44 +5520,69 @@ details[open] .summary-arrow {
 }
 
 .markdown-content {
-  line-height: 1.7;
+  line-height: 1.8;
+  font-size: 1rem;
 }
 
 .markdown-content h1 {
   color: var(--text-primary);
-  border-bottom: 2px solid var(--accent-blue);
-  padding-bottom: 0.5rem;
+  border-bottom: 3px solid var(--accent-blue);
+  padding-bottom: 0.75rem;
+  margin-top: 2rem;
   margin-bottom: 1.5rem;
+  font-size: 2rem;
+  font-weight: 700;
+}
+
+.markdown-content h1:first-child {
+  margin-top: 0;
 }
 
 .markdown-content h2 {
   color: var(--text-primary);
-  margin-top: 2rem;
+  margin-top: 2.5rem;
   margin-bottom: 1rem;
   font-size: 1.5rem;
+  font-weight: 600;
+  border-bottom: 2px solid var(--border-color);
+  padding-bottom: 0.5rem;
 }
 
 .markdown-content h3 {
   color: var(--text-primary);
-  margin-top: 1.5rem;
+  margin-top: 2rem;
   margin-bottom: 0.75rem;
   font-size: 1.25rem;
+  font-weight: 600;
+}
+
+.markdown-content h4 {
+  color: var(--text-primary);
+  margin-top: 1.5rem;
+  margin-bottom: 0.5rem;
+  font-size: 1.1rem;
+  font-weight: 600;
 }
 
 .markdown-content p {
-  margin: 1rem 0;
-  color: var(--text-secondary);
+  margin: 1.25rem 0;
+  color: var(--text-primary);
+  line-height: 1.8;
 }
 
 .markdown-content ul, .markdown-content ol {
-  margin: 1rem 0;
+  margin: 1.25rem 0;
   padding-left: 2rem;
-  color: var(--text-secondary);
+  color: var(--text-primary);
 }
 
 .markdown-content li {
+  margin: 0.75rem 0;
+  line-height: 1.7;
+}
+
+.markdown-content li > p {
   margin: 0.5rem 0;
-  line-height: 1.6;
 }
 
 .markdown-content strong {
@@ -5311,6 +5590,88 @@ details[open] .summary-arrow {
   font-weight: 600;
 }
 
+.markdown-content em {
+  font-style: italic;
+  color: var(--text-secondary);
+}
+
+.markdown-content code {
+  background: var(--surface-bg);
+  border: 1px solid var(--border-color);
+  padding: 0.2rem 0.4rem;
+  border-radius: 4px;
+  font-family: 'Monaco', 'Menlo', 'Consolas', monospace;
+  font-size: 0.9em;
+  color: var(--text-primary);
+}
+
+.markdown-content pre {
+  background: var(--surface-bg);
+  border: 1px solid var(--border-color);
+  padding: 1rem;
+  border-radius: 6px;
+  overflow-x: auto;
+  margin: 1.5rem 0;
+}
+
+.markdown-content pre code {
+  background: none;
+  border: none;
+  padding: 0;
+  font-size: 0.9rem;
+}
+
+.markdown-content blockquote {
+  border-left: 4px solid var(--accent-blue);
+  padding-left: 1rem;
+  margin: 1.5rem 0;
+  color: var(--text-secondary);
+  font-style: italic;
+}
+
+.markdown-content a {
+  color: var(--accent-blue);
+  text-decoration: none;
+  border-bottom: 1px solid transparent;
+  transition: border-color 0.2s;
+}
+
+.markdown-content a:hover {
+  border-bottom-color: var(--accent-blue);
+}
+
+.markdown-content hr {
+  border: none;
+  border-top: 2px solid var(--border-color);
+  margin: 2rem 0;
+}
+
+.markdown-content table {
+  width: 100%;
+  border-collapse: collapse;
+  margin: 1.5rem 0;
+  font-size: 0.95rem;
+}
+
+.markdown-content table th {
+  background: var(--surface-bg);
+  color: var(--text-primary);
+  font-weight: 600;
+  padding: 0.75rem;
+  text-align: left;
+  border: 1px solid var(--border-color);
+}
+
+.markdown-content table td {
+  padding: 0.75rem;
+  border: 1px solid var(--border-color);
+  color: var(--text-primary);
+}
+
+.markdown-content table tr:nth-child(even) {
+  background: var(--surface-bg);
+}
+
 .generation-progress {
   min-height: 300px;
 }
diff --git a/app/page.tsx b/app/page.tsx
index 4e69180..efbd156 100644
--- a/app/page.tsx
+++ b/app/page.tsx
@@ -204,7 +204,7 @@ function MainContent() {
   const { genotypeData, isUploaded, setOnDataLoadedCallback } = useGenotype();
   const { setOnResultsLoadedCallback, addResult, addResultsBatch, hasResult } = useResults();
   const resultsContext = useResults();
-  const { isAuthenticated, hasActiveSubscription, subscriptionData, checkingSubscription, user, initializeDynamic, isDynamicInitialized } = useAuth();
+  const { isAuthenticated, hasActiveSubscription, subscriptionData, checkingSubscription, user, initializeDynamic, isDynamicInitialized, refreshSubscription } = useAuth();
 
   // Track client-side mounting to prevent hydration errors
   const [mounted, setMounted] = useState(false);
@@ -469,7 +469,7 @@ function MainContent() {
       });
 
     return () => controller.abort();
-  }, [debouncedSearch, filters.trait, filters.minSampleSize, filters.maxPValue, filters.excludeLowQuality, filters.excludeMissingGenotype, filters.requireUserSNPs, filters.sort, filters.sortDirection, filters.limit, filters.confidenceBand, filters.offset, genotypeData]);
+  }, [debouncedSearch, filters.trait, filters.minSampleSize, filters.maxPValue, filters.excludeLowQuality, filters.excludeMissingGenotype, filters.requireUserSNPs, filters.sort, filters.sortDirection, filters.limit, filters.confidenceBand, filters.offset, filters.searchMode, genotypeData]);
 
   const qualitySummary = useMemo<QualitySummary>(() => {
     return studies.reduce<QualitySummary>(
@@ -1126,7 +1126,9 @@ function MainContent() {
           <div className="premium-header-content">
             {!isAuthenticated ? (
               <div className="auth-prompt-inline">
-                <span>Sign in to access premium features →</span>
+                <span title={"We do not store user information on our servers\nWe use dynamic.xyz for sign in\nLogin is needed to track subscription status"}>
+                  Sign in to access premium features →
+                </span>
               </div>
             ) : !hasActiveSubscription ? (
               <div className="subscription-prompt-inline">
@@ -1184,6 +1186,22 @@ function MainContent() {
                         </div>
                       </div>
                       <div className="subscription-menu-divider"></div>
+                      <button
+                        onClick={async () => {
+                          setShowSubscriptionMenu(false);
+                          try {
+                            await refreshSubscription();
+                            alert('✓ Subscription status refreshed!');
+                          } catch (error) {
+                            console.error('Failed to refresh subscription:', error);
+                            alert('Failed to refresh subscription. Please try again.');
+                          }
+                        }}
+                        className="subscription-menu-item"
+                        disabled={checkingSubscription}
+                      >
+                        {checkingSubscription ? '⏳ Checking...' : '🔄 Refresh Subscription'}
+                      </button>
                       <button
                         onClick={async () => {
                           setShowSubscriptionMenu(false);
diff --git a/lib/fetch-polyfill.ts b/lib/fetch-polyfill.ts
new file mode 100644
index 0000000..ba608ea
--- /dev/null
+++ b/lib/fetch-polyfill.ts
@@ -0,0 +1,43 @@
+/**
+ * Fetch polyfill to fix Alchemy SDK compatibility in Next.js server-side code
+ * MUST be imported before any code that uses fetch (especially Alchemy SDK)
+ *
+ * The issue: ethers.js (used by Alchemy SDK) sets referrer: "client" which is
+ * valid in browsers but causes "Referrer 'client' is not a valid URL" in Node.js
+ */
+
+if (typeof globalThis !== 'undefined' && globalThis.fetch) {
+  // Store original fetch
+  const originalFetch = globalThis.fetch;
+
+  // Create patched version (arrow function to avoid 'this' context issues)
+  const patchedFetch = async (
+    input: RequestInfo | URL,
+    init?: RequestInit
+  ): Promise<Response> => {
+    // Always remove referrer to avoid issues
+    if (init && typeof init === 'object') {
+      const newInit = { ...init };
+      delete (newInit as any).referrer;
+      return originalFetch(input, newInit);
+    }
+    return originalFetch(input, init);
+  };
+
+  // Override global fetch using defineProperty for better reliability
+  try {
+    Object.defineProperty(globalThis, 'fetch', {
+      value: patchedFetch,
+      writable: true,
+      configurable: true,
+    });
+    console.log('[Fetch Polyfill] ✅ Applied fetch polyfill for Alchemy SDK');
+  } catch (err) {
+    console.error('[Fetch Polyfill] ❌ Failed to apply polyfill:', err);
+    // Fallback: try direct assignment
+    globalThis.fetch = patchedFetch as any;
+    console.log('[Fetch Polyfill] ⚠️  Applied polyfill via direct assignment');
+  }
+}
+
+export {};
diff --git a/lib/llm-client.ts b/lib/llm-client.ts
index 6a9599d..01d891e 100644
--- a/lib/llm-client.ts
+++ b/lib/llm-client.ts
@@ -42,6 +42,7 @@ export async function callLLM(
   options: LLMOptions = {}
 ): Promise<LLMResponse> {
   const config = getLLMConfig();
+  const modelId = getModelIdentifier(config);
   const { maxTokens, temperature = 0.7, reasoningEffort = 'medium' } = options;
 
   // Calculate prompt length for logging
@@ -64,7 +65,7 @@ export async function callLLM(
 ║ LLM REQUEST START
 ╠═══════════════════════════════════════════════════════════════
 ║ Provider: ${config.provider}
-║ Model: ${config.model}
+║ Model: ${modelId}
 ║ Max Output Tokens: ${maxTokens !== undefined ? maxTokens.toLocaleString() : 'unlimited (model max)'}
 ║ Reasoning Effort: ${reasoningEffort}
 ║ Temperature: ${temperature}
@@ -93,18 +94,18 @@ export async function callLLM(
   try {
     switch (config.provider) {
       case 'nilai':
-        response = await callNilAI(messages, maxTokens, temperature, reasoningEffort);
+        response = await callNilAI(messages, maxTokens, temperature, reasoningEffort, modelId);
         break;
 
       case 'ollama':
-        response = await callOllama(messages, maxTokens, temperature, reasoningEffort, config.ollamaAddress, config.ollamaPort, config.model);
+        response = await callOllama(messages, maxTokens, temperature, reasoningEffort, config.ollamaAddress, config.ollamaPort, modelId);
         break;
 
       case 'huggingface':
         if (!config.huggingfaceApiKey) {
           throw new Error('HuggingFace API key not configured');
         }
-        response = await callHuggingFace(messages, maxTokens, temperature, reasoningEffort, config.huggingfaceApiKey);
+        response = await callHuggingFace(messages, maxTokens, temperature, reasoningEffort, config.huggingfaceApiKey, modelId);
         break;
 
       default:
@@ -125,7 +126,7 @@ export async function callLLM(
 ║ LLM RESPONSE SUCCESS
 ╠═══════════════════════════════════════════════════════════════
 ║ Provider: ${config.provider}
-║ Model: ${config.model}
+║ Model: ${modelId}
 ║ Time Taken: ${elapsedSeconds}s (${elapsedMs}ms)
 ║ Reasoning Effort: ${reasoningEffort}
 ╠═══════════════════════════════════════════════════════════════
@@ -148,7 +149,7 @@ export async function callLLM(
 ║ LLM REQUEST FAILED
 ╠═══════════════════════════════════════════════════════════════
 ║ Provider: ${config.provider}
-║ Model: ${config.model}
+║ Model: ${modelId}
 ║ Time Taken: ${elapsedSeconds}s before failure
 ║ Error: ${error instanceof Error ? error.message : String(error)}
 ╚═══════════════════════════════════════════════════════════════`);
@@ -164,7 +165,8 @@ async function callNilAI(
   messages: LLMMessage[],
   maxTokens: number | undefined,
   temperature: number,
-  reasoningEffort: 'low' | 'medium' | 'high'
+  reasoningEffort: 'low' | 'medium' | 'high',
+  modelId: string
 ): Promise<LLMResponse> {
   // Initialize client
   const client = new NilaiOpenAIClient({
@@ -192,7 +194,7 @@ async function callNilAI(
 
   // Call nilAI
   const response = await client.chat.completions.create({
-    model: 'openai/gpt-oss-20b',
+    model: modelId,
     messages: messages as any,
     max_tokens: maxTokens || 131072, // Default to model max if not specified
     temperature,
@@ -220,10 +222,10 @@ async function callOllama(
   reasoningEffort: 'low' | 'medium' | 'high',
   address?: string,
   port?: number,
-  model?: string
+  modelId?: string
 ): Promise<LLMResponse> {
   const baseURL = `http://${address || 'localhost'}:${port || 11434}`;
-  const modelName = model || 'gpt-oss:latest';
+  const modelName = modelId || 'gpt-oss:latest';
 
   // Extract prompt from messages
   const prompt = messages.map(m => `${m.role}: ${m.content}`).join('\n\n');
@@ -282,7 +284,8 @@ async function callHuggingFace(
   maxTokens: number | undefined,
   temperature: number,
   reasoningEffort: 'low' | 'medium' | 'high',
-  apiKey: string
+  apiKey: string,
+  modelId: string
 ): Promise<LLMResponse> {
   const response = await fetch('https://router.huggingface.co/v1/chat/completions', {
     method: 'POST',
@@ -291,7 +294,7 @@ async function callHuggingFace(
       'Content-Type': 'application/json',
     },
     body: JSON.stringify({
-      model: 'openai/gpt-oss-20b:together',
+      model: modelId,
       messages,
       max_tokens: maxTokens || 131072, // Default to model max if not specified
       temperature,
@@ -330,26 +333,27 @@ export async function* callLLMStream(
   options: LLMOptions = {}
 ): AsyncGenerator<string, void, unknown> {
   const config = getLLMConfig();
+  const modelId = getModelIdentifier(config);
   const { maxTokens, temperature = 0.7, reasoningEffort = 'medium' } = options;
 
-  console.log(`[LLM Stream] Starting stream with provider: ${config.provider}, model: ${config.model}`);
+  console.log(`[LLM Stream] Starting stream with provider: ${config.provider}, model: ${modelId}`);
   const startTime = Date.now();
 
   try {
     switch (config.provider) {
       case 'nilai':
-        yield* streamNilAI(messages, maxTokens, temperature, reasoningEffort);
+        yield* streamNilAI(messages, maxTokens, temperature, reasoningEffort, modelId);
         break;
 
       case 'ollama':
-        yield* streamOllama(messages, maxTokens, temperature, reasoningEffort, config.ollamaAddress, config.ollamaPort, config.model);
+        yield* streamOllama(messages, maxTokens, temperature, reasoningEffort, config.ollamaAddress, config.ollamaPort, modelId);
         break;
 
       case 'huggingface':
         if (!config.huggingfaceApiKey) {
           throw new Error('HuggingFace API key not configured');
         }
-        yield* streamHuggingFace(messages, maxTokens, temperature, reasoningEffort, config.huggingfaceApiKey);
+        yield* streamHuggingFace(messages, maxTokens, temperature, reasoningEffort, config.huggingfaceApiKey, modelId);
         break;
 
       default:
@@ -372,7 +376,8 @@ async function* streamNilAI(
   messages: LLMMessage[],
   maxTokens: number | undefined,
   temperature: number,
-  reasoningEffort: 'low' | 'medium' | 'high'
+  reasoningEffort: 'low' | 'medium' | 'high',
+  modelId: string
 ): AsyncGenerator<string, void, unknown> {
   const client = new NilaiOpenAIClient({
     baseURL: 'https://nilai-f910.nillion.network/nuc/v1/',
@@ -398,7 +403,7 @@ async function* streamNilAI(
 
   // Call nilAI with streaming
   const stream = await client.chat.completions.create({
-    model: 'openai/gpt-oss-20b',
+    model: modelId,
     messages: messages as any,
     max_tokens: maxTokens || 131072,
     temperature,
@@ -425,10 +430,10 @@ async function* streamOllama(
   reasoningEffort: 'low' | 'medium' | 'high',
   address?: string,
   port?: number,
-  model?: string
+  modelId?: string
 ): AsyncGenerator<string, void, unknown> {
   const baseURL = `http://${address || 'localhost'}:${port || 11434}`;
-  const modelName = model || 'gpt-oss:latest';
+  const modelName = modelId || 'gpt-oss:latest';
 
   const response = await fetch(`${baseURL}/api/chat`, {
     method: 'POST',
@@ -489,7 +494,8 @@ async function* streamHuggingFace(
   maxTokens: number | undefined,
   temperature: number,
   reasoningEffort: 'low' | 'medium' | 'high',
-  apiKey: string
+  apiKey: string,
+  modelId: string
 ): AsyncGenerator<string, void, unknown> {
   const response = await fetch('https://router.huggingface.co/v1/chat/completions', {
     method: 'POST',
@@ -498,7 +504,7 @@ async function* streamHuggingFace(
       'Content-Type': 'application/json',
     },
     body: JSON.stringify({
-      model: 'openai/gpt-oss-20b:together',
+      model: modelId,
       messages,
       max_tokens: maxTokens || 131072,
       temperature,
@@ -552,14 +558,15 @@ async function* streamHuggingFace(
  */
 export function getLLMDescription(): string {
   const config = getLLMConfig();
+  const modelId = getModelIdentifier(config);
 
   switch (config.provider) {
     case 'nilai':
-      return `🛡️ Powered by Nillion nilAI using ${config.model} in TEE (Trusted Execution Environment)`;
+      return `🛡️ Powered by Nillion nilAI using ${modelId} in TEE (Trusted Execution Environment)`;
     case 'ollama':
-      return `🖥️ Using local Ollama (${config.model}) at ${config.ollamaAddress || 'localhost'}:${config.ollamaPort || 11434}`;
+      return `🖥️ Using local Ollama (${modelId}) at ${config.ollamaAddress || 'localhost'}:${config.ollamaPort || 11434}`;
     case 'huggingface':
-      return `☁️ Using HuggingFace Router (${config.model})`;
+      return `☁️ Using HuggingFace Router (${modelId})`;
     default:
       return 'LLM analysis';
   }
diff --git a/lib/llm-config.ts b/lib/llm-config.ts
index e0eb060..f20b8fe 100644
--- a/lib/llm-config.ts
+++ b/lib/llm-config.ts
@@ -10,6 +10,7 @@ export type LLMProvider = 'nilai' | 'ollama' | 'huggingface';
 export interface LLMConfig {
   provider: LLMProvider;
   model: string;
+  customModel?: string;
   ollamaAddress?: string;
   ollamaPort?: number;
   huggingfaceApiKey?: string;
@@ -80,13 +81,24 @@ export function getProviderDisplayName(provider: LLMProvider): string {
  * Get the full model identifier for API calls
  */
 export function getModelIdentifier(config: LLMConfig): string {
+  // If custom model is selected, use the custom model name
+  if (config.model === 'custom' && config.customModel) {
+    return config.customModel;
+  }
+
   switch (config.provider) {
     case 'nilai':
-      return 'openai/gpt-oss-20b';
+      return config.model === 'gpt-oss-20b' ? 'openai/gpt-oss-20b' : config.model;
     case 'ollama':
       return config.model;
     case 'huggingface':
-      return 'openai/gpt-oss-20b:together';
+      // For HuggingFace, append :together suffix if not already present
+      if (config.model === 'gpt-oss-20b') {
+        return 'openai/gpt-oss-20b:together';
+      } else if (config.model === 'openai/gpt-oss-120b') {
+        return 'openai/gpt-oss-120b:together';
+      }
+      return config.model.includes(':') ? config.model : `${config.model}:together`;
   }
 }
 
@@ -137,6 +149,10 @@ export function isConfigValid(config: LLMConfig): { valid: boolean; error?: stri
     return { valid: false, error: 'HuggingFace API key is required' };
   }
 
+  if (config.model === 'custom' && !config.customModel?.trim()) {
+    return { valid: false, error: 'Custom model name is required when "Custom..." is selected' };
+  }
+
   // Ollama address and port have defaults ('localhost' and 11434) so always valid
   // No additional validation needed
 
diff --git a/lib/overview-report-analyzer.ts b/lib/overview-report-analyzer.ts
index 4d7b8ff..0fe8443 100644
--- a/lib/overview-report-analyzer.ts
+++ b/lib/overview-report-analyzer.ts
@@ -200,12 +200,13 @@ export function generateMapPrompt(
   userContext: string
 ): string {
   return `Here are genetic traits from GWAS Catalog matched by the Monadic DNA Explorer tool. This is the map phase.
-  Please analyze health, lifestyle, appearance, personality and fun facts for the reduce phase.
+  Please analyze health, lifestyle, appearance, personality, rare disease and fun facts for the reduce phase.
   Fun facts should actually be fun and not serious medical stuff.
   Do not include tutorial, recommendations, next steps. The output is not meant for the user. Rather, the next reduce phase will be handled by an LLM.
   Remember to base relevance regardless of risk level, i.e. include increased, decreased or neutral entries, so the user gets a holistic picture.
   Output text with no tables or any fancy formatting.
-  Do not comment on SNPs and genes I do not have.
+  CRITICAL: Do not comment on SNPs and genes I do not have. Stick to the results and do not speculate about the effect of any SNPs or genes. 
+  Back up each assertion with a specific reference to SNPs actually present in the dataset. 
 
 USER:${userContext}
 
@@ -254,14 +255,15 @@ export function generateReducePrompt(
 
   return `Here are batched analyses of genetic traits from GWAS Catalog matched by the Monadic DNA Explorer tool. I am ${userContext}
 
-Please analyze and produce a five page report (health, lifestyle, appearance, personality, fun facts) suitable for personal genomics users. 
+Please summarize and produce a report (health, diet, lifestyle, appearance, personality, fun facts, rare disease) suitable for personal genomics users. 
 
 Fun facts should actually be fun and not serious medical stuff. 
 
-Make sure you mention the most salient SNPs and genes. 
-
 Minimize specific medical recommendation or testing recommendations as we do not want to flood the medical system with unnecessary costs. 
 
-Output text with no tables or any fancy formatting. Do not comment on SNPs and genes I do not have. 
+Output text with no tables or any fancy formatting. Section headings are ok. 
+
+CRITICAL: Do not comment on SNPs and genes I do not have.  Stick to the results and do not speculate about the effect of any SNPs or genes.
+
 ${summariesText}`;
 }
diff --git a/lib/overview-report-service.ts b/lib/overview-report-service.ts
index 3809651..1eb0522 100644
--- a/lib/overview-report-service.ts
+++ b/lib/overview-report-service.ts
@@ -243,7 +243,7 @@ export async function generateOverviewReport(
       // Use HIGH reasoning effort for complex pattern recognition across variants
       // TESTING: Temporarily limit max tokens to 1,300
       const response = await callLLM([{ role: 'user', content: mapPrompt }], {
-        temperature: 0.7,
+        temperature: 0.4,
         reasoningEffort: 'low',
         maxTokens: 13000,
       });
@@ -311,9 +311,9 @@ export async function generateOverviewReport(
     // Use LOW reasoning effort to stay under token limit
     // No maxTokens limit - let model generate comprehensive reports
     const response = await callLLM([{ role: 'user', content: reducePrompt }], {
-      temperature: 0.7,
-      reasoningEffort: 'high',
-      maxTokens: 13000,
+      temperature: 0.2,
+      reasoningEffort: 'medium',
+      maxTokens: 25000,
     });
 
     const finalReport = response.content;
diff --git a/lib/subscription-indexer.ts b/lib/subscription-indexer.ts
index fe4a17f..60cbcbb 100644
--- a/lib/subscription-indexer.ts
+++ b/lib/subscription-indexer.ts
@@ -4,20 +4,8 @@
  * Calculates subscription status without database
  */
 
-// Fix Next.js + Alchemy SDK compatibility by polyfilling global fetch
-// This intercepts all fetch calls (including nested ones in ethers.js) to handle invalid referrer
-// The Alchemy SDK (via ethers.js) passes referrer: "client" which is valid in browsers
-// but throws "Referrer 'client' is not a valid URL" in Node.js
-const originalFetch = global.fetch;
-global.fetch = async (input: RequestInfo | URL, init?: RequestInit): Promise<Response> => {
-  const options = { ...init };
-  // Set referrer to empty string to avoid Node.js validation errors
-  // Empty string is valid in Node.js fetch, while "client" is not
-  if (options) {
-    options.referrer = '';
-  }
-  return originalFetch(input, options);
-};
+// CRITICAL: Import fetch polyfill FIRST before any other imports
+import './fetch-polyfill';
 
 import { Alchemy, Network, AssetTransfersCategory, SortingOrder } from 'alchemy-sdk';
 import { convertToUsd } from './alchemy-prices';
@@ -45,6 +33,9 @@ export interface PaymentRecord {
 const MONTHLY_PRICE = 4.99; // USD
 const DAYS_PER_MONTH = 30;
 
+// Check if testnet chains are enabled
+const TESTNET_ENABLED = process.env.NEXT_PUBLIC_ENABLE_TESTNET_CHAINS === 'true';
+
 // Network configurations for Alchemy
 const NETWORKS: Record<string, Network> = {
   ethereum: Network.ETH_MAINNET,
@@ -52,6 +43,9 @@ const NETWORKS: Record<string, Network> = {
   arbitrum: Network.ARB_MAINNET,
   optimism: Network.OPT_MAINNET,
   polygon: Network.MATIC_MAINNET,
+  ...(TESTNET_ENABLED ? {
+    sepolia: Network.ETH_SEPOLIA,
+  } : {}),
 };
 
 // USDC contract addresses for each chain
@@ -61,6 +55,9 @@ const USDC_CONTRACTS: Record<string, string> = {
   arbitrum: process.env.USDC_CONTRACT_ARBITRUM || '0xaf88d065e77c8cC2239327C5EDb3A432268e5831',
   optimism: process.env.USDC_CONTRACT_OPTIMISM || '0x0b2C639c533813f4Aa9D7837CAf62653d097Ff85',
   polygon: process.env.USDC_CONTRACT_POLYGON || '0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359',
+  ...(TESTNET_ENABLED ? {
+    sepolia: process.env.USDC_CONTRACT_SEPOLIA || '0x1c7D4B196Cb0C7B01d743Fbc6116a902379C7238',
+  } : {}),
 };
 
 // USDT contract addresses for each chain
@@ -70,6 +67,9 @@ const USDT_CONTRACTS: Record<string, string> = {
   arbitrum: process.env.USDT_CONTRACT_ARBITRUM || '0xFd086bC7CD5C481DCC9C85ebE478A1C0b69FCbb9',
   optimism: process.env.USDT_CONTRACT_OPTIMISM || '0x94b008aA00579c1307B0EF2c499aD98a8ce58e58',
   polygon: process.env.USDT_CONTRACT_POLYGON || '0xc2132D05D31c914a87C6611C10748AEb04B58e8F',
+  ...(TESTNET_ENABLED ? {
+    sepolia: process.env.USDT_CONTRACT_SEPOLIA || '0xaA8E23Fb1079EA71e0a56F48a2aA51851D8433D0',
+  } : {}),
 };
 
 // DAI contract addresses for each chain
@@ -79,6 +79,9 @@ const DAI_CONTRACTS: Record<string, string> = {
   arbitrum: process.env.DAI_CONTRACT_ARBITRUM || '0xDA10009cBd5D07dd0CeCc66161FC93D7c9000da1',
   optimism: process.env.DAI_CONTRACT_OPTIMISM || '0xDA10009cBd5D07dd0CeCc66161FC93D7c9000da1',
   polygon: process.env.DAI_CONTRACT_POLYGON || '0x8f3Cf7ad23Cd3CaDbD9735AFf958023239c6A063',
+  ...(TESTNET_ENABLED ? {
+    sepolia: process.env.DAI_CONTRACT_SEPOLIA || '0xFF34B3d4Aee8ddCd6F9AFFFB6Fe49bD371b8a357',
+  } : {}),
 };
 
 /**
@@ -97,10 +100,16 @@ export async function checkSubscription(walletAddress: string): Promise<Subscrip
     throw new Error('ALCHEMY_API_KEY environment variable not set');
   }
 
+  console.log('[Subscription Indexer] Starting subscription check for wallet:', walletAddress);
+  console.log('[Subscription Indexer] Payment wallet:', paymentWallet);
+  console.log('[Subscription Indexer] Testnet enabled:', TESTNET_ENABLED);
+  console.log('[Subscription Indexer] Chains to query:', Object.keys(NETWORKS));
+
   const payments: PaymentRecord[] = [];
 
   // Query all supported chains
   for (const [chainName, network] of Object.entries(NETWORKS)) {
+    console.log(`\n[Subscription Indexer] Querying chain: ${chainName}`);
     try {
       const alchemy = new Alchemy({
         apiKey: process.env.ALCHEMY_API_KEY!,
@@ -115,6 +124,7 @@ export async function checkSubscription(walletAddress: string): Promise<Subscrip
         contractAddresses: [USDC_CONTRACTS[chainName]],
         order: SortingOrder.ASCENDING,
       });
+      console.log(`[Subscription Indexer] USDC payments ${usdcTransfers.transfers.length > 0 ? 'found' : 'not found'} on chain ${chainName} (${usdcTransfers.transfers.length} transfers)`);
 
       // Get USDC refunds (from payment wallet to user)
       const usdcRefunds = await alchemy.core.getAssetTransfers({
@@ -124,6 +134,7 @@ export async function checkSubscription(walletAddress: string): Promise<Subscrip
         contractAddresses: [USDC_CONTRACTS[chainName]],
         order: SortingOrder.ASCENDING,
       });
+      console.log(`[Subscription Indexer] USDC refunds ${usdcRefunds.transfers.length > 0 ? 'found' : 'not found'} on chain ${chainName} (${usdcRefunds.transfers.length} transfers)`);
 
       // Get USDT payments (from user to payment wallet)
       const usdtTransfers = await alchemy.core.getAssetTransfers({
@@ -133,6 +144,7 @@ export async function checkSubscription(walletAddress: string): Promise<Subscrip
         contractAddresses: [USDT_CONTRACTS[chainName]],
         order: SortingOrder.ASCENDING,
       });
+      console.log(`[Subscription Indexer] USDT payments ${usdtTransfers.transfers.length > 0 ? 'found' : 'not found'} on chain ${chainName} (${usdtTransfers.transfers.length} transfers)`);
 
       // Get USDT refunds (from payment wallet to user)
       const usdtRefunds = await alchemy.core.getAssetTransfers({
@@ -142,6 +154,7 @@ export async function checkSubscription(walletAddress: string): Promise<Subscrip
         contractAddresses: [USDT_CONTRACTS[chainName]],
         order: SortingOrder.ASCENDING,
       });
+      console.log(`[Subscription Indexer] USDT refunds ${usdtRefunds.transfers.length > 0 ? 'found' : 'not found'} on chain ${chainName} (${usdtRefunds.transfers.length} transfers)`);
 
       // Get DAI payments (from user to payment wallet)
       const daiTransfers = await alchemy.core.getAssetTransfers({
@@ -151,6 +164,7 @@ export async function checkSubscription(walletAddress: string): Promise<Subscrip
         contractAddresses: [DAI_CONTRACTS[chainName]],
         order: SortingOrder.ASCENDING,
       });
+      console.log(`[Subscription Indexer] DAI payments ${daiTransfers.transfers.length > 0 ? 'found' : 'not found'} on chain ${chainName} (${daiTransfers.transfers.length} transfers)`);
 
       // Get DAI refunds (from payment wallet to user)
       const daiRefunds = await alchemy.core.getAssetTransfers({
@@ -160,6 +174,7 @@ export async function checkSubscription(walletAddress: string): Promise<Subscrip
         contractAddresses: [DAI_CONTRACTS[chainName]],
         order: SortingOrder.ASCENDING,
       });
+      console.log(`[Subscription Indexer] DAI refunds ${daiRefunds.transfers.length > 0 ? 'found' : 'not found'} on chain ${chainName} (${daiRefunds.transfers.length} transfers)`);
 
       // Process USDC payments
       for (const transfer of usdcTransfers.transfers) {
@@ -343,8 +358,19 @@ export async function checkSubscription(walletAddress: string): Promise<Subscrip
   // Sort payments and refunds by timestamp
   payments.sort((a, b) => a.timestamp - b.timestamp);
 
+  console.log(`\n[Subscription Indexer] =================================`);
+  console.log(`[Subscription Indexer] Total payments found: ${payments.length}`);
+  if (payments.length > 0) {
+    console.log(`[Subscription Indexer] Payment details:`);
+    payments.forEach((p, idx) => {
+      console.log(`  ${idx + 1}. ${p.type.toUpperCase()} - ${p.currency} on ${p.chain}: ${p.usdValue} USD (${p.daysPurchased} days) - TX: ${p.transactionHash.slice(0, 10)}...`);
+    });
+  }
+  console.log(`[Subscription Indexer] =================================\n`);
+
   // Calculate subscription status
   if (payments.length === 0) {
+    console.log('[Subscription Indexer] No payments found - subscription inactive');
     return {
       isActive: false,
       expiresAt: null,
@@ -376,6 +402,13 @@ export async function checkSubscription(walletAddress: string): Promise<Subscrip
     ? Math.ceil((expiresAt.getTime() - now) / (24 * 60 * 60 * 1000))
     : 0;
 
+  console.log('[Subscription Indexer] Subscription calculation complete:');
+  console.log(`  - Total paid: $${totalPaid.toFixed(2)} USD`);
+  console.log(`  - Total days purchased: ${Math.floor(totalDaysPurchased)}`);
+  console.log(`  - Expires at: ${expiresAt.toISOString()}`);
+  console.log(`  - Is active: ${isActive}`);
+  console.log(`  - Days remaining: ${daysRemaining}`);
+
   return {
     isActive,
     expiresAt,
diff --git a/lib/subscription-manager.ts b/lib/subscription-manager.ts
index 4bda62e..551e37e 100644
--- a/lib/subscription-manager.ts
+++ b/lib/subscription-manager.ts
@@ -171,18 +171,27 @@ export async function checkCombinedSubscription(walletAddress: string): Promise<
   const [blockchainSub, stripeSub] = await Promise.all([
     withTimeout(
       checkBlockchainSubscription(walletAddress).catch(err => {
-        console.error('[Combined Check] Blockchain subscription check failed:', err);
+        console.error('[Combined Check] ❌ Blockchain subscription check FAILED with error:', err);
+        console.error('[Combined Check] Error message:', err.message);
+        console.error('[Combined Check] Error stack:', err.stack);
         return emptySubscription;
       }),
-      3000, // 3 second timeout for blockchain check
+      10000, // 10 second timeout for blockchain check (multiple chains can be slow)
       emptySubscription
-    ),
+    ).then(result => {
+      if (result === emptySubscription && result.payments.length === 0) {
+        console.log('[Combined Check] ⚠️  Blockchain check returned empty (likely timeout or error)');
+      } else {
+        console.log('[Combined Check] ✅ Blockchain check completed successfully');
+      }
+      return result;
+    }),
     withTimeout(
       checkStripeSubscription(walletAddress).catch(err => {
         console.error('[Combined Check] Stripe subscription check failed:', err);
         return emptySubscription;
       }),
-      3000, // 3 second timeout for Stripe API check
+      5000, // 5 second timeout for Stripe API check
       emptySubscription
     ),
   ]);
diff --git a/next.config.mjs b/next.config.mjs
index 6c34789..d041434 100644
--- a/next.config.mjs
+++ b/next.config.mjs
@@ -15,7 +15,7 @@ const nextConfig = {
   },
   experimental: {
     optimizePackageImports: ["react", "react-dom", "viem", "react-markdown"],
-    serverComponentsExternalPackages: ['onnxruntime-node', 'sharp']
+    serverComponentsExternalPackages: ['onnxruntime-node', 'sharp', 'alchemy-sdk', '@ethersproject/web', '@ethersproject/providers']
   },
   async rewrites() {
     return [
diff --git a/package-lock.json b/package-lock.json
index b22ea64..352f317 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -19,7 +19,6 @@
         "@types/pg": "^8.15.6",
         "@xenova/transformers": "^2.17.2",
         "alchemy-sdk": "^3.6.5",
-        "better-sqlite3": "^12.4.1",
         "crypto-js": "^4.2.0",
         "ethers": "^6.13.4",
         "next": "^14.2.33",
@@ -36,7 +35,6 @@
         "viem": "^2.38.5"
       },
       "devDependencies": {
-        "@types/better-sqlite3": "^7.6.13",
         "@types/node": "^24.6.0",
         "@types/react": "^19.1.15",
         "@types/react-dom": "^19.1.9",
@@ -6327,16 +6325,6 @@
         "tslib": "^2.4.0"
       }
     },
-    "node_modules/@types/better-sqlite3": {
-      "version": "7.6.13",
-      "resolved": "https://registry.npmjs.org/@types/better-sqlite3/-/better-sqlite3-7.6.13.tgz",
-      "integrity": "sha512-NMv9ASNARoKksWtsq/SHakpYAYnhBrQgGD8zkLYk/jaK8jUGn08CfEdTRgYhMypUQAfzSP8W6gNLe0q19/t4VA==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "@types/node": "*"
-      }
-    },
     "node_modules/@types/connect": {
       "version": "3.4.38",
       "resolved": "https://registry.npmjs.org/@types/connect/-/connect-3.4.38.tgz",
@@ -9280,29 +9268,6 @@
       "resolved": "https://registry.npmjs.org/bech32/-/bech32-1.1.4.tgz",
       "integrity": "sha512-s0IrSOzLlbvX7yp4WBfPITzpAU8sqQcpsmwXDiKwrG4r491vwCO/XpejasRNl0piBMe/DvP4Tz0mIS/X1DPJBQ=="
     },
-    "node_modules/better-sqlite3": {
-      "version": "12.4.1",
-      "resolved": "https://registry.npmjs.org/better-sqlite3/-/better-sqlite3-12.4.1.tgz",
-      "integrity": "sha512-3yVdyZhklTiNrtg+4WqHpJpFDd+WHTg2oM7UcR80GqL05AOV0xEJzc6qNvFYoEtE+hRp1n9MpN6/+4yhlGkDXQ==",
-      "hasInstallScript": true,
-      "license": "MIT",
-      "dependencies": {
-        "bindings": "^1.5.0",
-        "prebuild-install": "^7.1.1"
-      },
-      "engines": {
-        "node": "20.x || 22.x || 23.x || 24.x"
-      }
-    },
-    "node_modules/bindings": {
-      "version": "1.5.0",
-      "resolved": "https://registry.npmjs.org/bindings/-/bindings-1.5.0.tgz",
-      "integrity": "sha512-p2q/t/mhvuOj/UeLlV6566GD/guowlr0hHxClI0W9m7MWYkL1F0hLo+0Aexs9HSPCtR1SXQ0TD3MMKrXZajbiQ==",
-      "license": "MIT",
-      "dependencies": {
-        "file-uri-to-path": "1.0.0"
-      }
-    },
     "node_modules/bl": {
       "version": "4.1.0",
       "resolved": "https://registry.npmjs.org/bl/-/bl-4.1.0.tgz",
@@ -11719,12 +11684,6 @@
         "node": "^10.12.0 || >=12.0.0"
       }
     },
-    "node_modules/file-uri-to-path": {
-      "version": "1.0.0",
-      "resolved": "https://registry.npmjs.org/file-uri-to-path/-/file-uri-to-path-1.0.0.tgz",
-      "integrity": "sha512-0Zt+s3L7Vf1biwWZ29aARiVYLx7iMGnEUl9x33fbB/j3jR81u/O2LbqK+Bm1CDSNDKVtJ/YjwY7TUd5SkeLQLw==",
-      "license": "MIT"
-    },
     "node_modules/fill-range": {
       "version": "7.1.1",
       "resolved": "https://registry.npmjs.org/fill-range/-/fill-range-7.1.1.tgz",