Independent AI Builder · Agent Reliability · Agent Systems
I build AI systems that turn complex information into signals, decisions, and actions.
My current work focuses on reliable AI agents, execution evidence, evaluation, automation, and decision systems — especially the gap between an agent claiming success and independently verifying what actually happened.
I learn by building: prototype → run in reality → observe failure → publish evidence → iterate.
Building a cross-runtime, independently verifiable evidence layer for AI agent execution.
- Agent traces and reliability records
- Cross-runtime execution evidence
- Reproducible failure experiments
- External evidence verification
- Idempotency, retries, state drift, false success, and tool-use reliability
Repository: https://github.com/socksninja/sable-agent-reliability
External execution: Have a real agent runtime? Run one harmless task through the one-screen external operator guide. No SABLE adoption or endorsement required.
Paid founding pilot: US$100 fixed for one real workflow + one runtime + one reliability question + one evidence audit. Public or private execution is fine.
ORION — AI Signal Intelligence System
A decision engine designed to convert opportunities into explicit actions rather than simply generating information.
ESYRA — AI Opportunity Intelligence
An AI opportunity-intelligence concept focused on discovering, evaluating, and prioritizing commercial opportunities from fragmented information.
The operating system above individual projects: Reality / Network / Money / Identity / Institution / Mobility / Ownership.
- Personal Leverage OS: docs/PERSONAL_LEVERAGE_OS.md
- Daily rule: no external reality → no additional internal complexity
- Current phase: Connector → Independent Execution → Paid Pilot → Institutional Opportunity → Runway
Reliable AI Agents → Embodied AI → Human-AI Interaction → Neurotechnology
I am especially interested in systems that connect intelligence to action: models that can reason, use tools, interact with environments, and eventually operate across software, robots, and human interfaces.
Python · LLM Applications · AI Agents · Tool Use · Agent Evaluation · Reliability Engineering · Information Retrieval · Automation · Decision Systems · Machine Learning
Agentic AI · Reliable AI Systems · Agent Execution Evidence · Evaluation · Embodied Intelligence · Robotics · Human-AI Interaction · Brain-Computer Interfaces
Build technically serious systems, publish hard evidence from real execution, collaborate with people operating AI agents in production, and grow through real-world engineering problems.