# Exa Research Integration Brief - Deliverable Package
**Prepared for:** Engineering Leadership (doany.ai)  
**Date:** April 14, 2026  
**Status:** Ready for review

## Package Contents

### 1. EXECUTIVE-SUMMARY.md (START HERE)
One-page overview with recommendation, competitive position, and key metrics.
**Read time:** 3 minutes

### 2. leadership-brief-exa-research-integration.md (FULL ANALYSIS)
Comprehensive brief with:
- Detailed competitive analysis (Cursor, GitHub Copilot, Codeium)
- Risk assessment and mitigation strategies
- User segment analysis
- 30-day validation plan
- Technical considerations and cost modeling

**Read time:** 15 minutes

### 3. decision-framework.md (FOR THE MEETING)
Structured decision guide with:
- Three decision options (Pilot/Ship/Wait)
- Go/no-go criteria
- Meeting agenda (30 min)

**Read time:** 5 minutes

### 4. research-execution-log.md (TECHNICAL REFERENCE)
Shows how this research would be executed with live Exa tools:
- Specific tool calls for each competitor
- Citation format requirements
- Quality checklist
- Cost estimates

**Read time:** 10 minutes

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## Key Findings Summary

### The Opportunity
None of the top 3 coding assistants (Cursor, GitHub Copilot, Codeium) offer real-time web research. This is a clear differentiation opportunity.

### The Recommendation
**PILOT** - Run 30-day validation with internal + beta users before full launch.

### The Risks
1. Latency (2-5s per search)
2. Cost uncertainty ($3-15k/month for 1000 users)
3. API dependency (Exa outage = feature outage)

### The Validation Plan
- Week 1-2: Internal dogfooding (10 engineers)
- Week 3: Beta expansion (50 users) + telemetry
- Week 4: Decision gate based on metrics

### Success Criteria
- 60%+ users say "this saved me time"
- 10%+ improvement in task completion time
- <$5/user/month cost at scale
- Zero major accuracy incidents

---

## Competitive Intelligence

| Competitor | Price | Focus | Web Research | Market Position |
|------------|-------|-------|--------------|-----------------|
| **Cursor** | $20/mo | Codebase context | ❌ | Premium, fast iteration |
| **GitHub Copilot** | $10-19/mo | Enterprise scale | ❌ | Market leader (1M+ users) |
| **Codeium** | Free tier | Cost competition | ❌ | Freemium play |
| **doany.ai + Exa** | TBD | Research + coding | ✅ | Differentiation opportunity |

---

## Next Steps

### If Leadership Approves Pilot:
1. Schedule kickoff meeting (assign owner)
2. Set up Exa MCP server with production API key
3. Implement `/research` command in chat UI
4. Recruit 10 internal engineers for dogfooding
5. Define telemetry requirements

### If Leadership Wants More Info:
- Review full brief: `leadership-brief-exa-research-integration.md`
- Discuss specific risks or concerns
- Evaluate alternative providers (Perplexity, etc.)

### If Leadership Decides to Wait:
- Document decision rationale
- Set calendar reminder for 6-month review
- Monitor competitor moves

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## Important Notes

**About Citations:**
This brief is based on general knowledge of these products as of April 2026. For a production decision, recommend executing the research plan in `research-execution-log.md` with live Exa tools to get:
- Real-time web findings
- Verified citations with URLs and dates
- Recent product updates and announcements

**About Costs:**
Cost estimates are rough projections. Actual costs depend on:
- User behavior (searches per day)
- Exa pricing tier
- Caching effectiveness
- Query complexity

Pilot will provide real data for accurate forecasting.

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## Questions?

Contact the AI Assistant Team or review the full documentation in this package.