AI Research & Knowledge Stack
Default toolset for analysts, founders and creators doing deep research with AI.
/ quick answer
Search, capture, structure and synthesize information faster than you can read it. Default toolset for analysts, founders and creators doing deep research with AI.
- Perplexity or Exa (web research)
- Lovable AI Gateway (synthesis + structured output)
- Notion or Obsidian (knowledge base)
- Readwise (highlight capture)
- Make (capture → enrichment → DB pipeline)
- ChatGPT Pro with browsing for a one-tool baseline
What is the AI Research & Knowledge Stack stack for?
Search, capture, structure and synthesize information faster than you can read it.
Which tools are in this stack?
Perplexity or Exa (web research), Lovable AI Gateway (synthesis + structured output), Notion or Obsidian (knowledge base), Readwise (highlight capture), Make (capture → enrichment → DB pipeline).
Are there alternatives to this stack?
Yes — ChatGPT Pro with browsing for a one-tool baseline.
Some links support Onexial at no extra cost to you.
/ continue exploring
Related concepts
The vocabulary this page depends on.
- →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.
- →Knowledge Graph
A network of entities and the relationships between them, queryable like a map.
Related workflows
Turn this into a repeatable process.
- →Personal Research Assistant Workflow
A repeatable system to research any topic deeply in under 30 minutes.
- →Automated Competitor Research
From a product description to a structured competitor matrix in under 10 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.
- →Research Automation Stack
Search, fetch, extract and synthesise sourced briefs on a schedule.
- →AI Crypto Research Stack
A read-only research stack combining an AI assistant, web search, market data and on-chain analytics to screen assets quickly.
- →On-chain Research Stack
Explorer, indexer and analytics layers combined so wallet and token questions get answered with verifiable data.
Related prompts
Reusable prompts for this job.
- →Structured Data Analysis from CSV
Get a defensible analysis + chart suggestions from a raw CSV with no human pre-processing.
- →Strategic Analyst Prompt
Turn a business situation into a McKinsey-style strategic memo.
- →Deep Research Prompt Template
Reusable Deep Research prompt that produces cited, structured reports every time.
- →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.
- →Product Team Finds Churn Signals Hidden in Feedback
A B2B SaaS surfaced repeated onboarding complaints before they appeared in churn reports.
- →Agency Builds SEO Clusters 4x Faster
A content agency moved from isolated briefs to connected authority maps for every client.
- →Boutique Agency 10x's SEO Output Without New Hires
A 6-person agency moved from 4 articles/month to 40+ via a programmatic + AI workflow.
- →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.