The Lab

Open-Source Security & AI Tools

Tools I build and use in real client work. Open-sourced because the problems they solve aren't unique to one engagement.

AI Infrastructure

Cost, capability, and orchestration for production AI workloads.

ProjectLodestar

Multi-LLM router that picks the right model for each request.

Production AI workloads waste 60–90% on the wrong model. Lodestar routes by task profile, model performance, and price. Used in client deployments to bring inference cost down without giving up capability.

PythonLLM RoutingCost OptimizationMulti-Provider
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Control Tower

GitHub-native control plane for AI-assisted projects.

Most AI orchestration tools want you to adopt yet another dashboard. Control Tower uses GitHub itself — issues, branches, actions — as the substrate. Zero new tooling, full audit trail, version-controlled workflow.

GitHub ActionsAI AgentsAutomationInfrastructure-as-Code
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Governance & Audit

Audit trail, decision logging, and compliance evidence built into the runtime.

SentinelForge

Governance, audit, and observability for AI agent execution.

EU AI Act, NIST AI RMF, ISO 42001 — the frameworks all converge on the same evidence: who decided what, when, and on what input. SentinelForge captures that automatically. Built before regulators required it; useful regardless of which framework lands on you next.

PythonGovernanceAudit TrailObservability
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Security Tooling

Field-ready assessment kit for constrained environments.

KYNEĒ

Portable, AI-assisted security assessment platform.

Built for environments where you can't install agents, can't bring a laptop, and can't leave artifacts. Runs from USB, performs structured assessment against a defined control set, and packages findings on the way out.

SecurityAssessmentPortableAI-Assisted
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Adjacent

Where the patterns get prototyped before they show up in client work.

Zebra Ecosystem

Infrastructure-as-code for the home lab.

Enterprise practices shouldn't stop at the office door. Zebra applies the same automation, observability, and access controls to homelab infrastructure that you'd expect at scale. Where I prototype most of what eventually ends up in client work.

PythonAutomationHomelabInfrastructure-as-Code
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Want to apply this to your business?

These tools sit underneath the engagements I run. If your AI or security stack would benefit from any of the above, the work is described on the services page.