Blog

AI agents, orchestration, decentralized systems, and building in public.

The Decentralized Self-Improving AI System That Builds Itself Democratically
A self-improving system in one repo is impressive. A network of self-improving systems across many forks is qualitatively different.
The Self-Improving AI System That Keeps Building Itself
I used my AI assistant to spawn 15 parallel coding agents that built the system managing them. Half of them died. Here's what actually happened.
The Nature of Knowledge Work Has Fundamentally Changed
The role of humans in knowledge work is fundamentally changing — and most people aren't ready for what comes next.
Learning From My Mistakes: Going 85 on a 35
A driving metaphor for moving too fast in systems that weren't built for your speed.
Open-Sourcing Agent Orchestrator: Effectively Manage 30 Parallel Agents
How we open-sourced the system that manages 30 parallel AI coding agents — and how the agents built it themselves.
Every Decision I Make Now Has a URL
Static dashboards are dead. Living documents that update themselves, surface context, and help you act — that's the future.
Building an AI Trading Agent That Learns From Its Own Mistakes
Mean reversion, regime detection, sentiment analysis, and Kelly sizing — all orchestrated by an AI agent with human-in-the-loop approval.
Building a Personal AI Agent: Architecture and Lessons from LifeOS
How I built a personal AI system that manages my finances, relationships, health, and life admin — running 24/7 on a €7/month server.
Running 20 AI Agents in Parallel From My Home Directory
How I built a Claude Code orchestrator that manages 20+ parallel AI coding agents using tmux, git worktrees, and ~2,500 lines of bash.
Composio vs n8n — Integration Layer Comparison
A practical comparison of Composio and n8n for AI agent workflows.