AI Architecture · Genesis Conductor · Thermodynamic Computing
I'm an AI Architect building the future of autonomous agent systems. Creator of Genesis Conductor — a topological reasoning engine for orchestrating AI agents with thermodynamic verification.
- AI Architecture — Multi-agent systems, A2A protocols, MCP servers
- Thermodynamic Computing — S-ToT verification, Extropic integration
- Distributed Systems — Cloudflare Workers, edge computing, Kubernetes
AI-native application scaffolding engine. The official "Master Control Program" for transforming business ideas into production-ready code.
Persistent, specialized AI agents accessible from ChatGPT, Claude, Cursor, Gemini CLI, and Codex CLI.
Revenue-generating AI agent skills for DeFi, smart contracts, and Apple toolchain.
JAX-based library for thermodynamic computing and hypergraph neural networks.
Meta-cognitive AI framework for autonomous problem re-framing, graceful degradation, and auditable decision-making.
| Paper | DOI |
|---|---|
| WP-001: The Protocol |  |
| WP-002: Landauer Context |  |
| WP-003: Dissonance Eviction |  |
Key Contributions:
- LID-LIFT DYNAMIC — Meta-cognitive control loop for autonomous problem-solving
- H-MOC 0.2 Standard — AI flight recorder for decision provenance
- landauer_context Basis — First-principles planning using Landauer's principle (kT · ln 2)
Building AI systems that think in topologies, not tokens.