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Add WebArena agent specification and strategy
- specs/tri/webarena_agent.vibee: Agent spec with 6 behaviors - docs/WEBARENA_INTEGRATION.md: FIREBIRD integration architecture - docs/WEBARENA_STRATEGY.md: Victory strategy for #1 position Target: >70% success rate (vs 65% SOTA) Co-authored-by: Ona <no-reply@ona.com>
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docs/WEBARENA_INTEGRATION.md

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# FIREBIRD + WebArena Integration Architecture
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**Date**: 2026-02-04
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**Target**: #1 on WebArena Leaderboard (>70% success)
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**Formula**: φ² + 1/φ² = 3 = TRINITY
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---
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## 1. OVERVIEW
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### WebArena Benchmark
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- **812 tasks** across 5 categories
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- **Current SOTA**: ~60-65% (frontier models)
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- **Our target**: >70% success rate
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### FIREBIRD Advantage
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- **Ternary fingerprint evolution**: Evade detection on shopping/social tasks
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- **VSA planning**: Efficient action selection via ternary binding
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- **Stealth navigation**: Human-like behavior patterns
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---
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## 2. ARCHITECTURE
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```
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┌─────────────────────────────────────────────────────────────────┐
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│ FIREBIRD WebArena Agent │
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├─────────────────────────────────────────────────────────────────┤
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│ │
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│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
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│ │ Perceive │───▶│ Plan │───▶│ Execute │ │
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│ │ (Ternary) │ │ (VSA) │ │ (Browser) │ │
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│ └─────────────┘ └─────────────┘ └─────────────┘ │
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│ │ │ │ │
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│ ▼ ▼ ▼ │
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│ ┌─────────────────────────────────────────────────────┐ │
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│ │ FIREBIRD Stealth Layer │ │
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│ │ • Fingerprint Evolution (0.90 similarity) │ │
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│ │ • Canvas/WebGL/Audio Protection │ │
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│ │ • Human-like Timing │ │
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│ └─────────────────────────────────────────────────────┘ │
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│ │
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└─────────────────────────────────────────────────────────────────┘
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```
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---
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## 3. COMPONENTS
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### 3.1 Perception Module
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Converts browser state to ternary vectors:
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```
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Screenshot (pixels) → Ternary CNN → State Vector S
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Accessibility Tree → Text Encoder → Intent Vector I
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DOM Elements → Element Encoder → Action Vectors A[]
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```
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### 3.2 Planning Module (VSA)
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Uses ternary binding for action selection:
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```
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Plan = State ⊗ Intent (ternary XOR binding)
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For each action A:
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score = cosineSimilarity(Plan, encode(A))
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Select: argmax(scores)
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```
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### 3.3 Execution Module
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Browser automation with stealth:
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```python
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def execute(action, browser):
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# Evolve fingerprint if needed
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if detection_risk > 0.3:
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firebird.evolve(target=0.90)
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# Human-like delay
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delay = random(500, 2000) # ms
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sleep(delay)
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# Execute action
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browser.execute(action)
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```
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### 3.4 FIREBIRD Stealth Layer
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Integrated fingerprint protection:
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| Feature | Implementation |
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|---------|----------------|
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| Canvas | Ternary noise injection |
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| WebGL | GPU vendor/renderer spoofing |
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| Audio | Frequency noise |
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| Timing | φ-based random delays |
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| Mouse | Natural movement curves |
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---
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## 4. TASK CATEGORIES
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### 4.1 Shopping (251 tasks) - HIGH PRIORITY
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**Challenge**: Anti-bot detection, CAPTCHA, rate limiting
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**FIREBIRD Strategy**:
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- Fingerprint evolution every 5 steps
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- 500-2000ms delays between actions
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- Natural mouse movements
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- Session rotation
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**Expected boost**: +15% success rate
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### 4.2 Reddit (166 tasks) - MEDIUM PRIORITY
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**Challenge**: Account detection, spam filters
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**FIREBIRD Strategy**:
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- Fingerprint evolution every 10 steps
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- 200-1000ms delays
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- Human-like scrolling patterns
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**Expected boost**: +10% success rate
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### 4.3 GitLab (228 tasks) - LOW PRIORITY
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**Challenge**: Complex UI, multi-step workflows
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**FIREBIRD Strategy**:
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- Standard fingerprint (low detection risk)
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- Focus on accurate action selection
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**Expected boost**: +5% success rate
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### 4.4 Map (99 tasks) - LOW PRIORITY
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**Challenge**: Geolocation, map interactions
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**FIREBIRD Strategy**:
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- Standard fingerprint
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- Precise coordinate handling
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**Expected boost**: +3% success rate
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### 4.5 Wikipedia (68 tasks) - LOW PRIORITY
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**Challenge**: Information retrieval
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**FIREBIRD Strategy**:
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- Minimal stealth needed
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- Fast execution
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**Expected boost**: +2% success rate
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---
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## 5. IMPLEMENTATION PLAN
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### Phase 1: Baseline Agent (Week 1)
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- [ ] Fork WebArena repo
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- [ ] Implement basic ternary perception
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- [ ] Test on 100 tasks
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- [ ] Measure baseline success rate
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### Phase 2: VSA Planning (Week 2)
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- [ ] Implement ternary binding for planning
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- [ ] Add action scoring
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- [ ] Test on all 812 tasks
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- [ ] Target: 50% success
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### Phase 3: FIREBIRD Integration (Week 3)
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- [ ] Add fingerprint evolution
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- [ ] Implement stealth layer
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- [ ] Category-specific strategies
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- [ ] Target: 65% success
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### Phase 4: Optimization (Week 4)
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- [ ] Fine-tune parameters
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- [ ] Add error recovery
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- [ ] Parallel task execution
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- [ ] Target: >70% success (#1)
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---
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## 6. SUCCESS METRICS
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| Metric | Baseline | Target | Measurement |
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|--------|----------|--------|-------------|
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| Overall Success | 50% | **>70%** | Tasks passed / 812 |
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| Shopping Success | 40% | **75%** | Stealth advantage |
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| Detection Rate | 30% | **<5%** | Fingerprint checks |
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| Avg Steps | 25 | **<15** | Efficiency |
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| Time per Task | 60s | **<30s** | Speed |
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---
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## 7. COMPETITIVE ANALYSIS
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| Agent | Success Rate | Stealth | Our Advantage |
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|-------|--------------|---------|---------------|
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| GPT-4 Agent | 60% | None | +10% stealth |
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| Claude Agent | 65% | None | +5% stealth |
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| Gemini Agent | 62% | None | +8% stealth |
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| **FIREBIRD** | **>70%** | **Ternary** | **#1** |
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---
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## 8. RISK MITIGATION
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| Risk | Mitigation |
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|------|------------|
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| Detection on shopping | Aggressive fingerprint evolution |
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| Slow execution | Parallel task processing |
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| Complex UI failures | Enhanced DOM parsing |
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| Rate limiting | Session rotation + delays |
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---
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## 9. CODE STRUCTURE
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```
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trinity/
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├── specs/tri/
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│ └── webarena_agent.vibee # Agent specification
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├── src/webarena/
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│ ├── agent.zig # Main agent (generated)
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│ ├── perception.zig # State encoding
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│ ├── planning.zig # VSA planning
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│ ├── execution.zig # Browser control
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│ └── stealth.zig # FIREBIRD integration
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└── docs/
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└── WEBARENA_INTEGRATION.md # This file
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```
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---
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**φ² + 1/φ² = 3 = TRINITY | TARGET: #1 WEBARENA**

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