What I'm building, running, and thinking right now.

Agent Infrastructure Platform

Building the operational backbone for autonomous agent systems. Mission Control, orchestration, memory OS (Akashic), decision engines. Now closed-loop: a planner routes every task, swarms build, and a critic reviews the output against intent — re-planning automatically when it misses.

Content Engineering Pipeline

blog-autopilot → the Academy at academy.jeremyknox.ai. 490+ lessons across 55+ tracks. YouTube → transcript → Claude article → Leonardo image → GitHub PR → live. Zero manual steps. Distribution engine for knowledge products.

InDecision Live Trading

Six-factor bias model trading live across Polymarket, prediction markets, and crypto perpetual futures. Continuous optimization: conviction scaling, fee efficiency, regime detection. Real capital at risk.

Tesseract Intelligence

Competitive intelligence system. Real-time signal aggregation, pattern detection, strategic doctrine. Foundation for decision engines across all platforms.

90+ apps, 40+ crons

Persistent AI agent orchestration on Mac Mini. Routes tasks, spawns Claude Code sessions, manages async workflows. Nerve center for the entire system.

Multi-market live

Trading live on Polymarket (binary options), prediction markets, and crypto perpetual futures — the perps lane live since mid-May. Six-factor model with conviction scaling, fee optimization, regime detection.

490+ lessons live

Blog-autopilot has shipped 125+ articles. Academy lessons streaming to academy.jeremyknox.ai. YouTube → transcript → article → image → PR → production. Fully automated — now with blocking content-leak gates in CI.

50+ monitors

System health and alerting. Watches trading bots, content pipelines, infrastructure. Gemini Flash post-mortems on anomalies.

Agent Infrastructure R&D

Building systems for autonomous agents to operate at scale. Hundreds of agent dispatches orchestrated in parallel. Memory systems that learn and compound. Decision engines that scale with conviction. Real-time optimization across multiple problem domains.

AI Engineering Research

Applied research on agentic systems in production. Self-improvement loops. Orchestration at scale. How to build systems that make decisions under uncertainty with real consequences (trading capital, deploying code, managing infrastructure).

On Intelligence

by Jeff Hawkins

The End of the World Is Just the Beginning

by Peter Zeihan

Agent autonomy vs. control. How much judgment do we encode? How much do we reserve for the operator? The scaling laws for oversight.

Memory and compounding. Every mistake becomes a rule. Every rule prevents the next mistake. How does compound learning work at fleet scale?

The alignment problem as operational, not philosophical. We're building systems that make real-world decisions (trading capital, deploying code, managing infrastructure). Correctness isn't optional.