Personal Research Assistant Workflow
A repeatable system to research any topic deeply in under 30 minutes.
/ quick answer
Standardize a query → harvest → cluster → synthesize loop so every research session ends with a structured brief. A repeatable system to research any topic deeply in under 30 minutes.
- 01Write a single research question and 5 sub-questions.
- 02Harvest sources with a web-search API or Perplexity-style tool.
- 03Cluster claims by theme using an LLM with structured output.
- 04Generate a brief: TL;DR, evidence, contradictions, open questions.
- 05Save the brief into your second brain with backlinks.
/ frequently asked
What does the Personal Research Assistant Workflow workflow do?
Standardize a query → harvest → cluster → synthesize loop so every research session ends with a structured brief.
What problem does Personal Research Assistant Workflow solve?
Reading 20 tabs and stitching notes manually wastes hours and rarely produces a usable synthesis.
How many steps does Personal Research Assistant Workflow take?
5 steps. It starts with write a single research question and 5 sub-questions. and ends with save the brief into your second brain with backlinks..
How do I set up Personal Research Assistant Workflow step by step?
1) Write a single research question and 5 sub-questions. 2) Harvest sources with a web-search API or Perplexity-style tool. 3) Cluster claims by theme using an LLM with structured output. 4) Generate a brief: TL;DR, evidence, contradictions, open questions. 5) Save the brief into your second brain with backlinks.
Which tools does Personal Research Assistant Workflow need?
It uses agent-research-stack, content-creator-stack — each linked below with its own node.
/ continue exploring
Related concepts
The vocabulary this page depends on.
- →RAG (Retrieval-Augmented Generation)
Inject external knowledge into an LLM at query time.
- →Agentic RAG
RAG where an agent decides what to retrieve, when, and from which source — instead of a single static query.
- →Deep Research (AI)
Long-running AI research task that produces a cited multi-page report.
- →Research Automation
Research automation turns a question into a sourced, structured answer using search, retrieval, extraction and synthesis agents.
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.
- →Build a Research Automation Pipeline
Question in, sourced structured brief out — on a schedule.
- →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.
Related tool stacks
The tools that run it in production.
- →Agent Research Stack
Web-search-enabled agent for autonomous research tasks.
- →Solo Content Creator Stack
End-to-end AI stack for one operator running a multi-channel content engine.
- →AI Research & Knowledge Stack
Default toolset for analysts, founders and creators doing deep research with AI.
- →Solo Founder Daily AI Stack
The 6-tool stack a solo founder actually uses every day — no fluff.
Related prompts
Reusable prompts for this job.
- →Competitor Discovery Prompt
Surface and structure direct competitors for a given product.
- →Grounded Answer Prompt
Force the model to answer only from provided sources, with citations.
- →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.
- →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.
- →Perplexity vs ChatGPT Search
Two answer engines, two philosophies: citation-first research vs conversational assistant.
- →AI Research vs Traditional Research
AI research compresses breadth and drafting; traditional research supplies verification and accountability for the claims you act on.