Public work
Five open repositories on GitHub. The rules, the records, and the code are all there to read.
- frontier-operating-manual
An operating discipline for AI coding agents, shipped as a Claude Code skill: standing rules with failure conditions, risk tiers, calibration labels, a written pre-send self-test.
What it shows: governance as a runnable harness.
- ai-knowledge-repository
A validated knowledge graph of hard platform constraints and decision-enabling capabilities for Claude Code, Lovable, Git, reMarkable, n8n, Python, and Atlassian, with a contract validator.
What it shows: knowledge management built for decision time, with receipts.
- claude-code-swarm-kit
A model-tiered multi-agent research kit: pinned roster, five-stage workflow, spawn doctrine, PreToolUse gates, and linters.
What it shows: cost governance as code, root-cause work, honest verification records.
- reasoning-bundle
A Claude Code plugin of structured-reasoning skills, opt-in calibration and convergence hooks, and a graph-of-thought tournament, with zero data egress.
What it shows: packaging discipline as a distributable, adversarially reviewed artifact.
- remarkable-agent-push
A security-audited, hardened build of a CLI that lets an AI agent push markdown to a reMarkable tablet as a native notebook.
What it shows: source-level security audit, fail-closed fixes, a rebuilt release pipeline.
Book a conversation
If the work above is close to what you need, write to jeremiah@smartaitx.com and we will set a time to talk about fit.