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.
/ frequently asked
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..
How do I set up Build a Research Automation Pipeline step by step?
1) Define the output schema first: the exact fields the brief must contain. 2) Expand the question into 10–40 concrete queries. 3) Retrieve and fetch. Deduplicate by canonical URL. 4) Extract claims into the schema — each claim carries source URL and date. 5) Synthesise using only extracted claims; drop anything unsourced. 6) Diff against the previous run so humans read changes, not the whole brief. 7) 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.