I like finding solutions to problems that are either underserved or personally unavoidable. The process is always the same: notice a pattern, trace where it's heading, and build something that changes the trajectory.
The only end-to-end governance framework for AI agents.
| Layer | Repo | What it does |
|---|---|---|
| Spec | aegis-spec | Open governance standard. Scoped roles, enforced permissions, autonomy levels, coordination protocols. Apache 2.0. |
| CLI | aegis-cli | Reference implementation. Run aegis init, have a conversation, generate a complete .agentpolicy/ directory. MIT. |
| MCP | aegis-mcp | Runtime enforcement. Loads policy into server memory, validates every agent action before execution. Zero token overhead. MIT. |
ClearDefense — CMMC Level 2, ITAR, DFARS 7012/7021, and CUI handling across three categories. A VP of Programs dropped a charter.docx into an empty repo. Aegis read the document, ran a discovery conversation, and generated governance for six agent roles with domain-routed escalation, immutable compliance policies, and NIST 800-171 control mappings. Claude Code built the platform in 23 minutes. 412 tests, all passing.
ClearHealth — HIPAA-compliant healthcare platform built entirely by a 5-agent AI swarm governed by Aegis. 65+ files, 27 minutes, zero governance violations.
ClearFinTech — PCI-DSS, SOX, and AML/KYC-compliant fintech platform. A non-technical CEO described compliance requirements in plain English. Aegis translated that into 11 governance files across 8 agent roles. Claude Code built the entire platform from a single prompt: 56+ files, 109 tests, CI passing on the first push.
Same spec. Different industries. Aegis adapts to the scope of any project.
Amazon Ads Analytics | CLI Tool Automated campaign analyzer for Amazon Sponsored Products. Ingests Amazon Ads exports and KDP sales data, produces weekly performance reports with actionable flags and bid recommendations. SQLite-backed trend tracking with ASIN resolution, attribution gap detection, and max-profitable-bid calculations.
Real Estate Investment Analyzer | Live App ML-powered tool for real estate investors — identifies the best neighborhoods in Texas and Florida based on cash flow potential and appreciation metrics.
Languages: TypeScript · Python · SQL · JavaScript · HTML · CSS
Tools: VS Code · Git · Anthropic API · Node.js · MCP SDK
Bringing 10+ years of business leadership and real-world problem-solving to AI engineering. Former U.S. Marine · Professional Athlete (MMA) · VP of Sales · Real Estate Investor · Author