I've been building AI-powered products since 2023. And I kept running into the same problem: the models I shipped were not always the models my users experienced. Something would change. A response would be different. An edge case that worked last week wouldn't today.
The frustrating part wasn't that models changed — I expected that. The frustrating part was that I had no way to know when they changed, how much they changed, or what specifically had shifted. There was no monitoring layer for model behavior. There was nothing between "the API is up" and "your user had a bad experience."
The Gap in the AI Stack
Modern AI deployments have excellent infrastructure monitoring. Uptime checks, latency tracking, error rates — all covered. What they don't have is behavioral monitoring: a systematic way to measure whether the model is behaving as it should across the full range of production tasks.
This gap matters more as AI gets embedded deeper into products. If a model changes its reasoning patterns on financial analysis tasks, that's not a bug your error tracker will catch. It's a behavioral regression — and the only way to detect it is to measure behavior systematically.
ABIS: Automated Behavioral Intelligence System
ABIS is what we built to solve this. At its core, ABIS is a continuous behavioral benchmark — a system that monitors AI models 24/7 across 272 behavioral dimensions, detects drift the moment it occurs, and can automatically apply corrections to keep production behavior stable.
The name comes from immunology: just as a biological immune system distinguishes "self" from "non-self" and responds to threats, ABIS builds a behavioral baseline for each model and detects when behavior diverges from that baseline.
What We're Building
ABIS ships as an MCP server — a drop-in addition to Claude Code that gives you 37 monitoring tools without changing your existing infrastructure. You connect it once and it runs continuously in the background.
Today, ABIS monitors 11 models across OpenAI, Anthropic, DeepSeek, and Google. It detects drift, scores corrections, and maintains a 90-day behavioral memory for each model. The correction engine can automatically counteract detected drift using 8 validated strategies.
We're a small team at CIJ Labs, but we're building something the AI industry genuinely needs. If you're running production AI and want to know what your models are actually doing — ABIS is for you.