Notes from the Messy Middle
Long essays, quick lessons, and occasional scars from building AI systems that have to work outside the demo.
What Computer-Use Agents Need Before We Trust Them
AgentDesk is my exploration of the policy, observability, evaluation, and cost-control layers computer-use agents need before they belong in real workflows.
Read the essay- Question Start with the real constraint.
- Architecture Map the system around the model.
- Failure test Find where the demo gets expensive.
- Practical lesson Keep what survives contact.
Long-form thinking
Deep writeups on the systems around the model.
AgentOps Simulator: What Happens When Your AI Workflow Starts Burning Tokens?
A small simulator for understanding agent workflow cost, routing, reliability, guardrails, and observability tradeoffs before production teaches the lesson with a bill.
Secure Tool Gateway: Agents Should Not Get API Access Just Because They Asked Nicely
A policy-driven gateway for secure AI agent tool execution with scopes, approvals, sandboxing, risk checks, budgets, and audit logs.
AI Failure Atlas: A Field Guide for How Agentic Systems Break
A field guide to prompt injection, tool overreach, infinite loops, context poisoning, and hallucinated tool calls in agentic AI systems.
Multi-Agent Planning Without the Group Chat Chaos
A small Python project showing how planner, executor, reviewer, and orchestrator roles make multi-agent workflows easier to understand.
Your Agents Need Business Cards Before They Can Work Together
A beginner-friendly A2A project showing how specialized agents discover each other, exchange tasks, and collaborate through protocol boundaries.
Your AI Assistant Should Not Get Your Whole Hard Drive
A beginner-friendly MCP project showing how AI assistants can safely read, search, and update local notes through controlled tool access.