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Work

The systems, practices, and ideas I keep returning to.

I build, explain, and share the systems, tools, and lessons that make AI useful in production.

Explore the AgentsKit ecosystem by the problem it solves, the people it is for, and the stage of work it supports.

15+
years shipping software
180+
engineers led
500+
technical interviews

AgentsKit ecosystem

The production problems I keep returning to.

Open tools and practical systems for teams moving from promising prototypes to work they can understand, operate, and improve.

  1. 01

    Learn

    Playbook · Active

    Make the architecture decision before the tool decision.

    Learn practical patterns for building reliable production AI agents. A practical guide to adoption, governance, and agent architecture for engineering leaders moving beyond prototypes.

    For Engineers and leaders learning how to ship AI responsibly.

    • Rollout patterns
    • Governance
    • Production architecture
    Read the Playbook
  2. 02

    Build

    AgentsKit · Active

    One TypeScript system instead of eight glued libraries.

    Build production AI agents with a portable JavaScript foundation. Runtime, tools, memory, RAG, UI, evals, and observability behind composable interfaces you can change without rewriting the product.

    For Engineers building agents in JavaScript or TypeScript.

    • 5 KB core
    • Zero dependencies
    • Provider-independent
    Explore AgentsKit
  3. 03

    Compose

    Registry · Active

    Start from working parts without giving up ownership.

    Compose reusable agent primitives without rebuilding the same patterns. Install agents, tools, and skills directly into your codebase. Adapt them, inspect them, and keep the code.

    For Builders who want composable, reusable agent components.

    • One-command install
    • Copy, adapt, own
    • Community registry
    Explore the Registry
  4. 04

    Understand

    Doc Bridge · Active

    Make every handoff legible to humans and agents.

    Make human-to-agent documentation handoffs deterministic. Turn repository docs into deterministic starting points, conformance gates, and memory that can move back into the documentation.

    For Teams turning documentation into reliable engineering context.

    • MCP bridge
    • Documentation gates
    • Memory promotion
    Explore Doc Bridge
  5. 05

    Deliver

    AgentsKit Chat · Active

    Ship one agent experience across every surface.

    Deliver one consistent agent experience across product surfaces. A typed application layer for web, mobile, and terminal chat — one contract that keeps the conversation consistent as the surface changes.

    For Teams shipping agent interactions across multiple interfaces.

    • Web + mobile + terminal
    • Typed contract
    • Cross-framework
    Explore AgentsKit Chat
  6. 06

    Operate

    AKOS · Active

    Run agents with controls that survive an audit.

    Operate agents with the controls and visibility production requires. Orchestration, human approval, access control, and signed audit trails for teams running agents on their own infrastructure.

    For Engineering leaders operating AI systems in production.

    • Human-in-the-loop
    • Self-hosted
    • Signed audit log
    Explore AKOS

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