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Daniil
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# Source Gatherer — Prompt Templates
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Use these templates when running Phase 2 source collection. Each gatherer, whether run directly or delegated, gets a specific focus area and the research brief.
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## Search Tool Instructions
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Include ONE of these blocks at the top of every gatherer prompt, depending on Exa availability:
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### If Exa MCP is available:
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```
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SEARCH TOOLS: Use Exa MCP for all searches.
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- `mcp__exa__web_search_exa` — neural search, returns relevant results with snippets
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- `mcp__exa__crawling_exa` — crawl a URL to get full page content (use maxCharacters: 10000)
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- `mcp__exa__deep_researcher_start` + `mcp__exa__deep_researcher_check` — for comprehensive research queries
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```
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### If Exa MCP is NOT available (fallback):
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```
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SEARCH TOOLS: Use the built-in web browsing tools available in the current Codex environment.
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- Use web search to find relevant pages and search variations.
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- Open the most relevant pages to read full content.
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- Preserve source URLs for every quote, data point, or claim you extract.
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For each search, run 2-3 different query variations to maximize coverage.
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```
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---
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## Template: Competitor Intelligence
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```
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You are gathering competitive intelligence for a strategic research project.
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{SEARCH_TOOL_INSTRUCTIONS}
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Research brief:
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{RESEARCH_BRIEF}
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Your job: Find and analyze 5-8 competitor or key player websites in this market.
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Search queries to try:
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- "{market} software/platform/tool"
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- "best {market} solutions {year}"
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- "alternatives to {known_competitor}" (if any known)
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- "{market} startup"
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For each competitor found, crawl their landing page, pricing page, and about page.
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For each competitor, extract and return:
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- Company name and URL
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- Value proposition (their main headline/pitch)
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- Target audience (who they're speaking to)
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- Key features (top 5-10)
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- Pricing model (if visible)
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- Positioning language (how they differentiate)
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- Notable claims or promises
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Return a structured report with all competitors analyzed. Include direct quotes from their sites.
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```
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---
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## Template: Customer Voice
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```
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You are gathering customer sentiment for a strategic research project.
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{SEARCH_TOOL_INSTRUCTIONS}
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Research brief:
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{RESEARCH_BRIEF}
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Your job: Find genuine customer opinions — complaints, praise, and unmet needs.
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Search queries to try:
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- "reddit {market} complaints"
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- "reddit {market} frustrating"
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- "reddit {market} switched from {competitor}"
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- "{competitor} review" or "{competitor} problems"
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- "site:producthunt.com {market}"
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- "{market} customer reviews G2 Trustpilot"
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Crawl the most relevant results to get full content.
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Extract and categorize:
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- **Recurring pain points** (what comes up again and again)
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- **Emotional triggers** (what makes people angry, excited, or frustrated)
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- **Feature requests** (what people wish existed)
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- **Switching triggers** (why people leave one solution for another)
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- **Praise patterns** (what people genuinely love)
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Include direct quotes with source URLs. Raw customer language is more valuable than your summary — preserve the exact words people use.
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```
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---
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## Template: Industry Analysis
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```
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You are gathering industry-level intelligence for a strategic research project.
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{SEARCH_TOOL_INSTRUCTIONS}
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Research brief:
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{RESEARCH_BRIEF}
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Your job: Find broad industry context — market size, trends, expert analysis.
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Search queries to try:
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- "{market} market size growth trends {year}"
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- "{market} industry report"
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- "{market} market analysis {year}"
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- "{major_company} earnings call {market}" (if applicable)
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- "{market} regulatory changes"
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- "{market} technology disruption"
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If using Exa, also use `deep_researcher_start` with model `exa-research-pro` for comprehensive coverage.
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Extract:
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- **Market size and growth** (TAM/SAM/SOM if available)
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- **Key trends** (what's changing in this market)
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- **Regulatory landscape** (any regulations that matter)
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- **Technology shifts** (what new tech is enabling or disrupting)
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- **Expert predictions** (what industry analysts say is coming)
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- **Funding patterns** (who's investing, how much, in what)
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Cite specific numbers and sources. Vague claims like "the market is growing" without data are useless.
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```
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---
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## Template: Adjacent & Emerging
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```
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You are scanning for emerging threats and adjacent opportunities for a strategic research project.
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{SEARCH_TOOL_INSTRUCTIONS}
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Research brief:
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{RESEARCH_BRIEF}
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Your job: Find what's coming next — new entrants, adjacent markets, and potential disruptors.
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Search queries to try:
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- "{market} startup {year}"
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- "{market} new entrant funding"
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- "pivot to {market}"
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- "{adjacent_market} expanding into {market}"
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- "AI {market}" or "{market} automation"
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- "Y Combinator {market}" or "TechCrunch {market} {year}"
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Crawl the most promising results.
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Extract:
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- **New entrants** (startups launched in last 2 years)
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- **Adjacent threats** (companies from other markets that could enter)
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- **Technology disruptors** (new tech that could change the game)
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- **Pivot signals** (companies pivoting toward this market)
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- **Funding patterns** (recent funding rounds in this space)
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- **Unconventional approaches** (anyone doing something radically different)
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Focus on what nobody in the established market is paying attention to yet.
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```
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---
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## Template: User-Provided Sources
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```
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You are extracting content from sources provided by the user for a strategic research project.
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{SEARCH_TOOL_INSTRUCTIONS}
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Research brief:
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{RESEARCH_BRIEF}
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Sources to crawl:
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{LIST_OF_URLS_OR_FILES}
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Your job: Extract full content from each source. For URLs, use crawling or page-open tools. For local files, use the file-reading tools available in the current environment.
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For each source, return:
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- Source URL/path
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- Title
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- Full extracted content (preserve structure)
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- Key takeaways relevant to the research brief (3-5 bullet points per source)
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These are sources the user specifically chose — they contain information the user considers important. Extract everything.
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```
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