An AI Agent you cannot audit is a liability. Not because it is malicious. Because when something goes wrong you cannot even reconstruct what it did. What is your Agent doing that you could not explain afterwards?

People keep asking what Inference Room actually is. The honest answer: a launchpad for AI Agents, built on one belief. Trusting your Agent will soon matter more than how smart it is. Everything we ship is a piece of that answer. What would it take for you to trust an Agent with something real?

An AI Agent that is 95% reliable on a single step drops to 36% across twenty steps. The errors compound, they do not cancel. Capability is not what breaks these in production. Four of the five real failures are the same problem.

When someone demos an autonomous AI Agent, the interesting part is what they leave out. Nobody shows you the failed call at 3am or the decision it makes when the input is malformed and no one is online. That is the footage that actually tells you whether it works.

A bigger context window is not a bigger memory. If you are running Agents in production, what are you actually using to make them remember across sessions?

Newsflash! Your AI Agent has the long-term memory of a goldfish and the confidence of a founder.

It says it is 95% confident.

AI Agents have an amnesia problem nobody wants to talk about, because the fix is boring and the demos are exciting.

Everyone's asking who builds intents infrastructure. Worth saying who it's for: Agents. Every Agent acting onchain is an intent waiting to be settled. Open standards turn that into adoption.