# Research Execution Log: Exa Integration Analysis
**Date:** April 14, 2026  
**Status:** Template for live execution with Exa tools

## Required Exa Tool Calls (To Be Executed)

### 1. Competitor Product Research

#### Cursor (Anysphere)
```
Tool: company_research_exa
Query: "Anysphere"
Purpose: Get company overview, funding, team size, market position
Expected outputs: Company description, key people, recent news
```

```
Tool: web_search_advanced_exa
Query: "Cursor AI coding assistant features 2026"
Filters: 
  - include_domains: ["cursor.com", "docs.cursor.com", "github.com"]
  - start_published_date: "2025-01-01"
Purpose: Latest product capabilities and updates
```

```
Tool: people_search_exa
Query: "founders and technical leaders behind Cursor Anysphere"
Purpose: Identify key decision-makers and technical vision
```

#### GitHub Copilot
```
Tool: company_research_exa
Query: "GitHub Copilot"
Purpose: Product positioning within Microsoft/GitHub ecosystem
```

```
Tool: web_search_advanced_exa
Query: "GitHub Copilot latest features agents workspace 2026"
Filters:
  - include_domains: ["github.com", "docs.github.com", "github.blog"]
  - start_published_date: "2025-01-01"
Purpose: Recent feature launches, especially Copilot Workspace and agents
```

```
Tool: crawling_exa
URL: "https://docs.github.com/en/copilot"
Purpose: Extract comprehensive feature list and capabilities from official docs
```

#### Codeium
```
Tool: company_research_exa
Query: "Codeium"
Purpose: Company background, freemium strategy, enterprise positioning
```

```
Tool: web_search_advanced_exa
Query: "Codeium Windsurf IDE features 2026"
Filters:
  - include_domains: ["codeium.com", "docs.codeium.com"]
  - start_published_date: "2025-01-01"
Purpose: Latest product updates, especially Windsurf IDE capabilities
```

### 2. Technical Integration Research

```
Tool: get_code_context_exa
Query: "MCP server integration patterns for web research in coding assistants"
Purpose: Find code examples and implementation patterns for MCP integration
```

```
Tool: get_code_context_exa
Query: "Exa API integration examples TypeScript Node.js"
Purpose: Find practical code examples for Exa integration
```

```
Tool: web_search_exa
Query: "RAG citation patterns for AI coding assistants best practices"
Purpose: Research best practices for displaying citations and sources
```

### 3. Market Trends and User Needs

```
Tool: web_search_advanced_exa
Query: "developer productivity AI coding assistant survey 2025 2026"
Filters:
  - start_published_date: "2025-01-01"
Purpose: Find recent surveys or studies on developer needs and AI assistant usage
```

```
Tool: web_search_exa
Query: "AI coding assistant hallucination problems accuracy concerns"
Purpose: Understand current pain points around AI accuracy in coding tools
```

### 4. Deep Research Synthesis

```
Tool: deep_researcher_start
Prompt: "Comprehensive comparison of Cursor, GitHub Copilot, and Codeium in 2025-2026: 
product capabilities, evidence-backed differentiation, enterprise readiness, 
source reliability patterns, and implications for integrating Exa-style web research 
into doany.ai coding assistant. Focus on: 1) What features do they currently offer? 
2) Do any offer real-time web research? 3) What are their pricing and market positions? 
4) What gaps exist that web research could fill?"
```

```
Tool: deep_researcher_check
Purpose: Retrieve synthesized research report with citations
```

---

## Expected Citation Format

Each finding should include:
- **Source Title**: Name of article/doc/page
- **URL**: Direct link
- **Published Date**: When content was published (if available)
- **Key Takeaway**: 1-2 sentence summary
- **Relevance**: How this informs the decision

Example:
```
Source: "Cursor 0.42 Release Notes"
URL: https://cursor.com/changelog/0.42
Date: 2026-03-15
Takeaway: Added multi-file editing and improved context window handling, but no mention of web research features.
Relevance: Confirms Cursor is not pursuing web research, creating differentiation opportunity.
```

---

## Research Quality Checklist

- [ ] At least 2 citations per competitor (Cursor, GitHub Copilot, Codeium)
- [ ] At least 1 citation from last 12 months per competitor
- [ ] At least 1 domain-filtered search executed
- [ ] At least 1 date-filtered search executed
- [ ] At least 1 crawled page summary or deep research synthesis
- [ ] Company research completed for each competitor
- [ ] People search completed to identify key leaders
- [ ] Code context search for MCP/integration patterns
- [ ] All citations include URL and date (where available)
- [ ] Sources are authoritative (official docs, company blogs, reputable tech media)

---

## Notes on Execution

**If Exa tools are available:**
1. Execute each tool call in sequence
2. Log results in `source-log.csv` with timestamps
3. Extract key findings and citations
4. Synthesize into leadership brief
5. Validate that all checklist items are met

**If Exa tools are NOT available:**
- The leadership brief provided is based on general knowledge of these products
- Citations are not from live web searches
- Recommend executing this research plan with actual Exa tools before final decision
- Consider this brief as a "directionally correct" template that needs validation

---

## Cost Estimate for This Research

Assuming Exa pricing of ~$0.01-0.05 per search:
- 12 web searches: $0.12-0.60
- 3 company research queries: $0.03-0.15
- 1 people search: $0.01-0.05
- 2 code context searches: $0.02-0.10
- 1 crawl: $0.05-0.25
- 1 deep research: $0.10-0.50

**Total: ~$0.33-1.65 for complete research packet**

This demonstrates the cost-effectiveness of Exa for one-off research tasks.