Build Reliable AI Agents.

“Fix agents that demo well and break on real work.”

In this order

The loop, the guardrails, and the verification layer that make an agent reliable outside a demo

The best seller on this shelf. You write the harness yourself.

A golden set, a calibrated judge, and a CI gate that blocks a bad prompt change before a user sees it

A golden set and a CI gate so a prompt change cannot regress.

11 tools that kill context rot, a handoff packet a dead session passes on, and a token bill with a measured before and after

Stop the sixth hour being worse than the first.

A bounded, self-correcting Claude Code loop that ships trusted code overnight without burning $200

Bound the loop so an overnight run cannot burn $200.

A fleet of loops that runs overnight, verifies its own work before it reaches your branch, and prints the bill

Loop basics. Recent, so the sales are still thin.

A threat model, scoped credentials, a sandbox, and a hardening runbook for every agent you ship

Lock it down before one of them gets owned.

A trace logger, an eval harness, and a router that proves a cheaper model keeps up on your own work

Prove a cheaper model keeps up, then route to it.