Technical write-ups on why AI systems fail in production and how to fix them — the same failure modes behind what we've seen break, explained in depth.
A feature that costs $0.002 per call looks fine in staging. At 500k calls a day, it's a five-figure monthly surprise. Here's a token budget model that catches it before launch.
Most voice agents are tested against the happy path. Here's why they break on the question nobody scripted for, and how to design for it.
When a model provider deprecates a parameter and every call breaks at once, the real bug was architectural. Here's how to build a provider abstraction layer from day one.
The easy 80% of tickets works fine. Here's the tiered permission model that stops the agent from overstepping on the other 20%.
Keyword matching rejects people, not just resumes. Here's the semantic-matching and human-review layer that fixes it — and the compliance reason it matters.
Good at finding savings, bad at knowing when a purchase needs a human sign-off. Here's the spend-tier routing model that fixes that.
Book a 30-minute call — we'll tell you honestly whether your AI system has one of these gaps, and what it would take to close it.