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.

Production-grade agent infrastructure for stateless LLMs.

Production-grade agent infrastructure:

clawhub install grok-persistent-state
clawhub install mcp-openclaw-bridge
clawhub install smithery-mcp-orchestrator

Follow @invariantx for updates. Repo: https://github.com/igor-holt/openclaw-skills

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
WP-004: Seismic Tree-of-Thought (S-ToT)

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)
• S-ToT Verification — Seismic Tree-of-Thought reasoning protocol for thermodynamic validation

• 🌐 genesisconductor.io
• 📧 igor@kovachenterprises.com
• 🐦 @Holt_Igor on X

Building AI systems that think in topologies, not tokens.