# Decision Framework: Exa Research Integration

## Decision Options

### Option 1: PILOT (Recommended)
**Timeline:** 30 days  
**Investment:** ~$2-5k (eng time + API costs)  
**Risk:** Low (reversible, contained scope)  
**Upside:** Validate differentiation hypothesis with real data

### Option 2: SHIP NOW
**Timeline:** 2-4 weeks to production  
**Investment:** ~$10-20k (full implementation)  
**Risk:** Medium (cost/UX unknowns)  
**Upside:** First-mover advantage in market

### Option 3: WAIT
**Timeline:** Revisit in 6 months  
**Investment:** $0  
**Risk:** Low (no execution risk)  
**Downside:** Competitors may ship similar feature; opportunity cost

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## Key Decision Factors

### ✅ Factors Supporting "Go"
- Clear market gap (no competitor offers this)
- Technical feasibility proven (MCP + Exa API)
- Aligns with "agentic workflow" market trend
- Citations reduce hallucination risk
- Relatively low implementation cost

### ⚠️ Factors Supporting "Caution"
- Latency impact on flow state (2-5s per search)
- Cost scaling uncertainty ($3-15k/mo for 1000 users)
- API dependency creates single point of failure
- UX complexity (when to trigger research vs. completion)
- User behavior unknown (will they use it?)

### ❌ Factors Supporting "No"
- None identified (no fundamental blockers)

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## If You Approve Pilot

**Week 1 Deliverables:**
- Exa MCP server configured
- `/research` command in chat UI
- Citation display implemented
- 10 internal users onboarded

**Week 3 Deliverables:**
- 50 beta users active
- Telemetry dashboard live
- Cost tracking operational

**Week 4 Decision Gate:**
- User satisfaction: Target 60%+ "saved time"
- Performance: Target 10%+ faster task completion
- Cost: Target <$5/user/month
- Quality: Zero major accuracy incidents

**Go/No-Go Criteria:**
- Hit 3/4 targets → Ship broadly
- Hit 2/4 targets → Iterate for 30 more days
- Hit 0-1/4 targets → Shelve feature

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## Competitive Intelligence Summary

**Cursor (Anysphere)**
- Premium positioning ($20/mo)
- Focus: Deep codebase understanding
- Gap: No web research capability
- Threat level: Medium (fast iteration, loyal users)

**GitHub Copilot (Microsoft)**
- Market leader (1M+ paid users)
- Focus: Enterprise scale, compliance
- Gap: No live web research
- Threat level: High (distribution advantage, but slow on experimental features)

**Codeium**
- Freemium model (free for individuals)
- Focus: Cost competition, deployment flexibility
- Gap: No web research
- Threat level: Low (compete on price, not features)

**Market Opportunity:** All three lack web research. Window exists for 6-12 months before they respond.

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## Questions to Resolve in Meeting

1. **Risk Tolerance:** Are we comfortable with Exa API as single point of failure?
2. **Budget:** Can we allocate $3-15k/month if feature scales?
3. **Resources:** Do we have PM/design bandwidth for UX work?
4. **Alternatives:** Should we evaluate Perplexity or other providers?
5. **Timing:** Is now the right time, or should we focus on other priorities?

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## Recommended Decision Process

1. **Review executive summary** (5 min)
2. **Discuss key risks** (10 min)
3. **Align on success metrics** (5 min)
4. **Vote: Pilot / Ship / Wait** (5 min)
5. **If approved: Assign owner + kickoff date** (5 min)

**Total meeting time:** 30 minutes