3RecursiveIntelligence.io

Practical AI Methodology Meets Cognitive Science|Looking for Ricursive (the AI chip design company)? You want ricursive.com

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Stop Being an AI User.
Become an AI Architect.

Research keeps confirming the same pattern: passive AI use atrophies the thinking it replaces. I've been building cognitive scaffolding tools my entire life as a neurodivergent thinker. AI is just the new terrain.

Frameworks, briefs, and the Recursive Prompting Handbook.

Briefslive

AI/ML Briefs

A production multi-agent pipeline on AWS Lambda + Bedrock ingests 50+ sources every 12 hours and synthesizes structured intelligence briefs via LLM orchestration. No manual curation. No human prompts.

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Reading

AI/ML Feed

The intake pipeline — what goes into the briefs.

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Dispatches

Field Reports

Applied cognitive science and methodology from practice.

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Garden

Recursive Garden

Notes, experiments, and thinking in progress.

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Substack

Articles, methodology updates, and thinking in progress — delivered directly.

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// Methodology

What I Do

Practical frameworks from real research — cognitive science, neuroscience, and AI — built to be used immediately, not archived. These frameworks have been tested against real systems — autonomous pipelines running in production, agentic workflows deployed for real business outcomes, and methodology built from what actually works rather than what looks good in a slide deck.

→ No theory without practice.

→ No recommendations without evidence.

→ No tools without teaching you why they work.

// Research Applied

Recent Research Applied

  • MIT's ChatGPT brain connectivity study (2025)

    Translating findings into Recursive Prompting methodology

  • Neurodivergent AI interaction patterns

    Building frameworks for cognitive scaffolding

  • Cognitive load and integration overhead

    Creating tools to maintain executive function during AI collaboration

  • Executive function preservation in AI workflows

    Developing templates that enhance rather than replace thinking

  • Autonomous research agent in production

    A multi-agent AWS pipeline ingesting 50+ sources twice daily, synthesizing structured intelligence without human prompts. Built, deployed, and running.

  • Agentic workflow design for SMB operations

    Frameworks for replacing manual research, monitoring, and reporting workflows with autonomous agents that execute on a schedule and deliver structured output.

Each study becomes a practical framework.

Each framework becomes a tool you can use.