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.
Writing
Writing
I write about the practical side of AI: what it takes to move from interesting demos to useful systems inside real organizations.
The themes I keep coming back to are enterprise adoption, agentic workflows, AI productization, evaluation, observability, operating models, and the infrastructure reality behind AI delivery.
Less “AI will change everything.”
More “Here is what breaks when you try to make it work.”
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.