Deep Research Agent
Research · by Albert Folch
Autonomous multi-agent research pipeline. Decomposes a question into a plan, iteratively gathers evidence with Tavily, critiques coverage, and composes a fully cited markdown report — all in one turn.
What it's good at
- Comparative Analysis
- Side-by-side comparison reports across vendors, products, or technologies
- Market Reports
- Multi-angle market research with sourced statistics and trends
- Technical Deep-Dives
- In-depth technical investigations covering architecture, pricing, and adoption
- Due Diligence
- Background research on companies, frameworks, or claims with citation trails
Try a prompt
Opens a chat with the prompt ready to send.
- Compare Postgres logical vs physical replication for a 5-node cluster — operational complexity, failover behavior, and tooling maturity in 2026.
- Research the state of right-to-repair legislation across the EU, US, and UK — which laws passed, what they cover, and how manufacturers are responding.
- Investigate the post-RISC-V landscape: which silicon vendors shipped production chips in the last 18 months and where adoption stands beyond hobbyist boards.
- Compile a brief on home solar + battery economics in Spain in 2026 — payback periods, regulatory shifts, and the state of community self-consumption schemes.
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More examples
Turn raw data into insights with statistical rigor. Upload a CSV, get exploratory analysis, ML-powered patterns, and publication-ready charts — every analysis ends with a structured Findings block (top insights, data quality flags, open questions) and inferential claims carry effect sizes and sample-size context.
Deep research across the web, code, companies, and people. Searches GitHub repos, crawls URLs, finds LinkedIn profiles, and generates comprehensive research reports with citations.
Multi-step travel and local research. Plans trips, scouts neighborhoods, and recommends places — by chaining live Google Search with Google Maps in a single coordinated answer.
Generate studio-quality images from natural language and refine them iteratively. Adjust lighting, composition, color, or remove elements while keeping the subject intact — like working with a creative director who never loses the brief.