Dillon McClendon
Dillon McClendon

Open knowledge / 001

Engineering ideas, made useful.

Free field notes, diagrams, and practical guides for teams building with AI. Clear mental models first, production decisions second.

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01 / Featured

Guide
4 min read

Build AI Agents with Three Fundamentals

A practical framework for designing agent systems around memory, model inference, and the capabilities that make action possible.

The library

Notes for the work between the demos.

Use these guides to make the invisible parts of an AI system easier to reason about: context, capabilities, evaluation, and the decisions around them.

  • Checklist
    2 min read

    An AI Agent Builder Checklist

    A concise preflight checklist for deciding whether an agent idea has the context, capabilities, and controls needed to become a real system.

  • Mental model
    3 min read

    Agents in One Paragraph

    A compact mental model for understanding what an AI agent is, what it can do, and where its behavior comes from.

Apply the pattern

Have a real system to work through?

I help teams turn useful AI ideas into clear architectures, working prototypes, and production practices.

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