Firecrawl Deep Research
Use this when the user wants a sourced research report, not raw search results.
Onboarding Interview
Infer the topic, depth, and output format from context. If the topic is clear, proceed immediately.
Ask at most 1-3 concise questions only if blocked, such as the research topic, required depth, or a critical angle/source constraint.
Firecrawl Collection Plan
Use Firecrawl search and scrape through the CLI or equivalent tool surface.
- Quick: search 3-5 queries and scrape 5-10 high-quality sources.
- Thorough: search 5-10 queries from different angles and scrape 15-25 sources.
- Exhaustive: search 10+ queries and scrape 25+ sources, including primary sources, research papers, expert views, and contrarian sources.
Avoid re-scraping URLs already returned with full content from a search-with-scrape result.
Parallel Work
If appropriate, use sub-agents or equivalent parallel task runners by research angle:
- overview and definitions
- technical or implementation details
- market and industry context
- contrarian views, risks, and limitations
- primary sources and official docs
Each researcher should return claims, source URLs, source quality notes, and uncertainty.
Final Deliverable
Default structure:
# Deep Research: [Topic]
## Executive Summary
[2-3 paragraphs]
## Key Findings
[Numbered findings with source links]
## Detailed Analysis
[Themes, evidence, and synthesis]
## Contrarian Views And Risks
[Counterarguments, limitations, failure modes]
## Open Questions
[What remains uncertain]
## Sources
[Every URL used with a one-line note]
## Rerun Inputs
workflow: firecrawl-deep-research
topic: [topic]
depth: [quick/thorough/exhaustive]
output: [markdown/json/brief]Quality Bar
- Cite sources for factual claims.
- Prefer primary sources when available.
- Flag uncertainty and conflicting evidence.
- Synthesize instead of listing scrape summaries.
