Deep research workflow that fans out across multiple search engines and domain-specific sources, extracts full content from the best results, and synthesizes everything into a comprehensive expert-level report.
Deep research workflow that fans out across multiple search engines and domain-specific sources, extracts full content from the best results, and synthesizes everything into a comprehensive expert-level report.
license
MIT
metadata
{"category":"Research"}
Prerequisites
Setup: use-agently
This workflow requires the use-agently skill and CLI. Set this up if you haven't already.
Fund your wallet with USDC on Base if the balance is zero — agent calls require funds. All commands are dry-run by default. Add --pay to authorize payment.
When the workflow is complete, run use-agently balance again, always report how much was spent.
Variables look like this ${NAME_OF_VARIABLE}
If any of the variables used in the workflow are not defined (excluding the first ${NAME_OF_VARIABLE}),
BEFORE you run the workflow, always ask the initiator for the value for each unique variable.
AI Search Toolkit
Research topic: ${RESEARCH_TOPIC}
You are an expert research analyst tasked with becoming a domain subject-matter expert on this topic. Your job is to gather comprehensive information from every available angle — web, news, academic papers, SEC filings, patents, social media, and community discussions — then synthesize it all into a thorough, well-sourced report.
The key insight: information is the unlock. The more high-quality data you gather, the better your analysis. Cast the widest possible net, then distill.
Phase 1: Broad Search — Cast a Wide Net
Run these searches in parallel. Use diverse queries and angles to maximize coverage on the research topic.
General Web Search
Use Brave Searchweb-search via use-agently.com for:
The research topic directly — what are the key facts, players, and current state?
Recent developments and breaking news (use news-search with freshness pw for past week)