The Cloud Codex — field notes on building with AI agents
$ cat ./codex/README.md
Field notes on building with AI agents.
The economics and architecture of production AI — the harness around the model, what the tokens actually cost, and the platform engineering that keeps it production-grade.
by michael tuszynski — principal architect · ex-AWS · 25 years shipping production systems
// featured
6 Agent Licenses, 1 Runtime: You Are Paying Per Seat for the Layer That Is Not Scarce
Enterprise agent pricing multiplies the cheap layer—user seats—while leaving the expensive layer—compute—flat or unbundled. Here's how to split the invoice before you sign it.
// series
$ ls ./series --all →7-part series
Building an AI Assessment System
A field build of AI-graded assessment — grading written answers, testing the judge, red-teaming it, and measuring what actually moved the needle for students. Read in order.
// start here
$ grep -l signal ./essays
- An Engineer Costs $250K. Their Tokens Cost $20K. That Math Is a Trap.7 min read
- The Coding Agent Stack Has Two Layers6 min read
- Your Claude Plugin Marketplace Needs More Than a Git Repo5 min read
- What Local LLMs Actually Cost vs the API6 min read
- AI Agents Are Killing Seat-Based SaaS Pricing. Here's What's Replacing It.5 min read
- Build AI Systems That Survive the Platform Wars8 min read
// most recent
$ ls -t ./essays