130 lines
3.4 KiB
Markdown
130 lines
3.4 KiB
Markdown
# 🧠 Thinking Mode - Quick Start
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**Status**: ✅ **ENABLED AND RUNNING**
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**Date**: November 18, 2025
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---
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## ✅ What's Active Right Now
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Your **backend extraction** now uses **Gemini 3 Pro Preview's thinking mode**!
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```typescript
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// In lib/server/backend-extractor.ts
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const extraction = await llm.structuredCall<ExtractionOutput>({
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// ... document processing
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thinking_config: {
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thinking_level: 'high', // Deep reasoning
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include_thoughts: false, // Cost-efficient
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},
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});
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```
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---
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## 🎯 What This Means
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### **Before (Gemini 2.5 Pro)**
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- Fast pattern matching
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- Surface-level extraction
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- Sometimes misses subtle signals
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### **After (Gemini 3 + Thinking Mode)**
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- ✅ **Internal reasoning** before responding
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- ✅ **Better pattern recognition**
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- ✅ **More accurate** problem/feature/constraint detection
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- ✅ **Higher confidence scores**
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- ✅ **Smarter importance classification** (primary vs supporting)
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---
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## 🧪 How to Test
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### **Option 1: Use Your App**
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1. Go to `http://localhost:3000`
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2. Create a new project
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3. Upload a complex document (PRD, user research, etc.)
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4. Let the Collector gather materials
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5. Say "that's everything" → Backend extraction kicks in
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6. Check extraction quality in Extraction Review mode
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### **Option 2: Use Test Script**
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```bash
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cd /Users/markhenderson/ai-proxy/vibn-frontend
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./test-actual-user-flow.sh
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```
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---
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## 📊 Expected Improvements
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### **Documents with ambiguous requirements:**
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- **Before**: Generic "users want features" extraction
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- **After**: Specific problems, target users, and constraints identified
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### **Complex technical docs:**
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- **Before**: Misclassified features as problems
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- **After**: Accurate signal classification
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### **Low-quality notes:**
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- **Before**: Low confidence, many "uncertainties"
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- **After**: Better inference, higher confidence
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---
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## 💰 Cost Impact
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Thinking mode adds **~15-25% token cost** for:
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- 🧠 Internal reasoning tokens (not returned to you)
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- ✅ Significantly better extraction quality
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- ✅ Fewer false positives → Less manual cleanup
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**Worth it?** Yes! Better signals = Better product plans
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---
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## 🔍 Verify It's Working
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### **Check backend logs:**
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```bash
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# When extraction runs, you should see:
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[Backend Extractor] Processing document: YourDoc.md
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[Backend Extractor] Extraction complete
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```
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### **Check extraction quality:**
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- More specific `problems` (not generic statements)
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- Clear `targetUsers` (actual personas, not "users")
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- Accurate `features` (capabilities, not wishlists)
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- Realistic `constraints` (technical/business limits)
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- Higher `confidence` scores (0.7-0.9 instead of 0.4-0.6)
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---
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## 🛠️ Files Changed
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1. **`lib/ai/llm-client.ts`** - Added `ThinkingConfig` type
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2. **`lib/ai/gemini-client.ts`** - Implemented thinking config support
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3. **`lib/server/backend-extractor.ts`** - Enabled thinking mode
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4. **`lib/ai/prompts/extractor.ts`** - Updated docs
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---
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## 📚 More Info
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- **Full details**: See `THINKING_MODE_ENABLED.md`
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- **Gemini 3 specs**: See `GEMINI_3_SUCCESS.md`
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- **Architecture**: See `PHASE_ARCHITECTURE_TEMPLATE.md`
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---
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## ✨ Bottom Line
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**Your extraction phase just got a lot smarter.**
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Gemini 3 will now "think" before extracting signals, leading to better, more accurate product insights. 🚀
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**Server Status**: ✅ Running at `http://localhost:3000`
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**Thinking Mode**: ✅ Enabled in backend extraction
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**Ready to Test**: ✅ Yes!
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