Research Automation Stack
Search, fetch, extract and synthesise sourced briefs on a schedule.
/ quick answer
Replace manual research cycles with a repeatable, citable pipeline. Search, fetch, extract and synthesise sourced briefs on a schedule.
- Exa or Tavily (search API)
- Firecrawl (fetch and clean pages)
- Claude or GPT-5 (extraction and synthesis)
- Postgres + pgvector (claim store and dedupe)
- Slack (delivery of the weekly diff)
- Perplexity API
- SerpAPI + custom scraper
/ frequently asked
What is the Research Automation Stack stack for?
Replace manual research cycles with a repeatable, citable pipeline.
Which tools are in this stack?
Exa or Tavily (search API), Firecrawl (fetch and clean pages), Claude or GPT-5 (extraction and synthesis), Postgres + pgvector (claim store and dedupe), Slack (delivery of the weekly diff).
Are there alternatives to this stack?
Yes — Perplexity API, SerpAPI + custom scraper.
/ continue exploring
Related concepts
The vocabulary this page depends on.
- →Research Automation
Research automation turns a question into a sourced, structured answer using search, retrieval, extraction and synthesis agents.
- →No-Code Automation
Building business workflows visually without writing code.
- →Deep Research (AI)
Long-running AI research task that produces a cited multi-page report.
- →Crypto Automation
Crypto automation is rule-based execution of monitoring, alerting and recurring on-chain actions, so decisions are made once and applied consistently.
Related workflows
Turn this into a repeatable process.
- →Build a Research Automation Pipeline
Question in, sourced structured brief out — on a schedule.
- →Personal Research Assistant Workflow
A repeatable system to research any topic deeply in under 30 minutes.
- →AI Market Research Report in One Afternoon
From blank page to sourced, structured 20-page market report in ~4 hours.
- →Turn Deep Research Into a Weekly Executive Brief
Use an AI Deep Research agent every Monday to produce a cited market brief in 20 minutes.
Related tool stacks
The tools that run it in production.
- →Browser Automation Stack
Run browser agents on a schedule with credentials, retries and screenshots.
- →Document AI Stack
Turn PDFs and scans into validated records with a human exception queue.
- →Agent Financial Operations Stack
This stack provides the necessary technologies and services for AI agents to perform autonomous financial operations, including managing budgets, making payments, and ensuring compliance. It enables agents to act as independent economic actors.
- →AI Research & Knowledge Stack
Default toolset for analysts, founders and creators doing deep research with AI.
Related prompts
Reusable prompts for this job.
- →Sourced Research Brief Prompt
Produces a structured brief where every claim carries a citation.
- →No-Code Automation Spec Writer
Turn a vague 'I want to automate X' into a buildable scenario spec for Make / n8n / Zapier.
- →Market Research Synthesizer
Compress 10-20 sources into a 1-page decision-grade brief.
- →Deep Research Prompt Template
Reusable Deep Research prompt that produces cited, structured reports every time.
Related use cases
How people apply it, and what came out.
- →Consultancy Automates Weekly Market Scans
A sourced competitor and market diff replaced a manual research day.
- →Tech Creator Replaces a Research Assistant With a Workflow
A YouTuber cut their research time per video from 8 hours to 90 minutes.
Comparisons & alternatives
Pick between the options.
- →AI Research vs Traditional Research
AI research compresses breadth and drafting; traditional research supplies verification and accountability for the claims you act on.
- →Best AI Workflow Automation Tools: n8n vs Zapier vs Make
The three tools most operators consider for AI workflow automation — compared on pricing, AI integration and technical flexibility.
- →Browser Agent vs API Automation
APIs win whenever they exist; browser agents exist for the systems that never gave you one.