Workflow
Personal Research Assistant Workflow
A repeatable system to research any topic deeply in under 30 minutes.
1 min readupdated 2026-06-22
/ 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.
A repeatable system to research any topic deeply in under 30 minutes. The problem it solves: Reading 20 tabs and stitching notes manually wastes hours and rarely produces a usable synthesis. Standardize a query → harvest → cluster → synthesize loop so every research session ends with a structured brief. It runs in 5 steps, starting with write a single research question and 5 sub-questions. This workflow node is part of the Onexial knowledge graph and links to related concepts, workflows and tools below.
Problem
Reading 20 tabs and stitching notes manually wastes hours and rarely produces a usable synthesis.
Solution
Standardize a query → harvest → cluster → synthesize loop so every research session ends with a structured brief.
Steps
- 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.
Tools Used
Prompts Used
Related Dictionary
/ 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..
Which tools does Personal Research Assistant Workflow need?
It uses agent-research-stack, content-creator-stack — each linked below with its own node.
↳ connected nodes
Dictionary↳ linked
RAG (Retrieval-Augmented Generation)
Inject external knowledge into an LLM at query time.
Dictionary↳ linked
Agentic RAG
RAG where an agent decides what to retrieve, when, and from which source — instead of a single static query.
Tool Stack↳ linked
Agent Research Stack
Web-search-enabled agent for autonomous research tasks.
Tool Stack↳ linked
Solo Content Creator Stack
End-to-end AI stack for one operator running a multi-channel content engine.
Prompt↳ linked
Competitor Discovery Prompt
Surface and structure direct competitors for a given product.
Prompt↳ linked
Grounded Answer Prompt
Force the model to answer only from provided sources, with citations.
Tool Stack↳ linked
AI Research & Knowledge Stack
Default toolset for analysts, founders and creators doing deep research with AI.
Use Case↳ linked
Tech Creator Replaces a Research Assistant With a Workflow
A YouTuber cut their research time per video from 8 hours to 90 minutes.
Comparison↳ linked
Perplexity vs ChatGPT Search
Two answer engines, two philosophies: citation-first research vs conversational assistant.
Tool Stack↳ linked
Solo Founder Daily AI Stack
The 6-tool stack a solo founder actually uses every day — no fluff.
Tool Stack↳ linked
AI Voice Assistant Stack
This stack outlines the core technologies for building personal or enterprise AI voice assistants, integrating components for speech recognition, natural language processing, and task execution. It supports intelligent, conversational interfaces for various applications.