How to Implement AI Guardrails at the Gateway Layer

Previously: 9 Bugs That All Looked Like a Working System · I Built an AI That Rewrites Its Own...

My publish-pass agent hit a beat that no source label could satisfy — every relabel that cleared one automated gate tripped another, provably, by arithmetic. The fix wasn't to relabel harder; it was a recorded, attributable waiver, reserve…

Every week someone asks which coding agent is better, and every answer is a vibe. I wanted a...

I have been building an AI-native PCB editor for a few months. Before I wrote a line of it, I did the...

Undo almost never proves what it undid Falsifier, up front: if you can point me to a real,...

Every additional agent in a chain is supposed to make the system smarter. Too often, it just makes...

Agents are getting wired to money — order food, top up credits, call paid APIs. Between 'the agent wants to spend' and 'the money moves' you need a decision layer: ALLOW / human approval / DENY, with audit.

A reported Claude Fable 5.1 prompt extraction reveals why production AI agents depend on tools, retrieval, memory policies, provenance, and application-level safeguards.

Six weeks after I fixed capture with hooks, my second brain was still confidently wrong. The nightly...

On September 1 my upstream provider repriced one of the models I depend on. Here's the part of the...