Build a Research Automation Pipeline
Question in, sourced structured brief out — on a schedule.
/ quick answer
Separate retrieval from synthesis and force citations at the extraction stage. Question in, sourced structured brief out — on a schedule.
- 01Define the output schema first: the exact fields the brief must contain.
- 02Expand the question into 10–40 concrete queries.
- 03Retrieve and fetch. Deduplicate by canonical URL.
- 04Extract claims into the schema — each claim carries source URL and date.
- 05Synthesise using only extracted claims; drop anything unsourced.
- 06Diff against the previous run so humans read changes, not the whole brief.
- 07Schedule it and route the diff to Slack or email.
What does the Build a Research Automation Pipeline workflow do?
Separate retrieval from synthesis and force citations at the extraction stage.
What problem does Build a Research Automation Pipeline solve?
Manual research is slow and inconsistent, and one-shot AI answers are unsourced and unverifiable.
How many steps does Build a Research Automation Pipeline take?
7 steps. It starts with define the output schema first: the exact fields the brief must contain. and ends with schedule it and route the diff to slack or email..
Which tools does Build a Research Automation Pipeline need?
It uses research-automation-stack, browser-automation-stack — each linked below with its own node.
/ 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.
- →Browser Agent
A browser agent drives a real web browser — navigating, clicking, typing and reading pages — to complete tasks on sites that have no API.
- →AI Content Pipeline
An end-to-end system that takes a topic and outputs publish-ready content.
- →No-Code Automation
Building business workflows visually without writing code.
Related workflows
Turn this into a repeatable process.
- →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.
- →AI Crypto Research Workflow
A repeatable research loop: turn a question into market data, on-chain evidence and a written risk view before any position is considered.
- →AI Token Research Workflow
Screen a token in under 30 minutes: contract facts, liquidity structure, holder concentration and a written risk verdict.
- →DeFi Yield Research Workflow
Evaluate a yield opportunity by decomposing where the return comes from and what has to break for it to disappear.
Related tool stacks
The tools that run it in production.
- →Research Automation Stack
Search, fetch, extract and synthesise sourced briefs on a schedule.
- →Browser Automation Stack
Run browser agents on a schedule with credentials, retries and screenshots.
- →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.
- →Build An Alert Workflow Prompt
Designs a complete alerting pipeline — events, sources, thresholds, deduplication and delivery — from a plain description.
- →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.
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.
- →Build An AI Crypto Research Agent
A read-only research agent produced daily briefings on a 30-token watchlist, cutting a 90-minute manual routine to a 10-minute review.
- →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.