Compliance knows the risks. Engineering can't promise to avoid them.
Nobody has turned "what this agent must never do" into something the agent can actually be tested against. Without that, the safe answer is always "not yet".
When your agent acts, one mistake can cost money, a lawsuit, or your reputation. A forward-deployed senior engineering team that makes your agent reliable: we define what "right" means, engineer the agent around it, and turn its real failures into evals that show what to improve next. A bigger model won't fix what takes hands-on engineering.
Talk to us about future cohorts01 · The problem
It's almost never a lack of model capability. What holds them back is simpler, and it has nothing to do with which model they pick.
Nobody has turned "what this agent must never do" into something the agent can actually be tested against. Without that, the safe answer is always "not yet".
When every decision runs through the model, nothing can be guaranteed. The usual fix, a bigger and pricier model, often breaks what already worked.
02 · The solution
Define what's right. Build the agent around it. Measure. Go again. Evals alone can't fix a bad architecture, and a good architecture can't be trusted without evals. The loop does both, and every turn makes the next one better.
We don't hand you a method and leave. As a forward-deployed team, our senior engineers work inside yours and take ownership of the problem, from the first conversation with compliance to the evals running in your pipeline. That's how we get deeper than a tool or a slide deck ever will.
03 · Where you start
We sit with the business to pin down what "right" means, then read your real conversations to find where the agent fails and why. The goal: higher quality at lower cost, with the same agent.
We start from a first definition: what it must do, what it must never do, and what each mistake costs. We test it against simulated conversations and adjust. Start fast, start right, until the wheel spins on its own.
04 · What you get
Business, compliance and engineering agree on what the agent must do and must never do, written so it can be tested.
Critical decisions move out of the model and into logic you can verify. The model handles what's truly open-ended.
We read how your agent actually fails, turn those failures into evals, and use them to decide what to improve next. They keep running, so a new model or prompt can't quietly break what works.
Delivered by senior engineers embedded in your team for the full eight weeks, with tooling that gets better with every engagement. If there's value in growing together, we continue as design partners. If not, you keep everything. No lock-in to a model or a tool.
05 · Who it's for
Companies with an agent that takes real actions (or is about to), where a mistake is expensive, and with someone at the top who would rather launch it right than keep postponing it.
Ship AI you can trust. Replace guesswork. Stop picking models on gut feeling, and make every change improve the agent instead of breaking it.
Not a fit if you have nothing with AI in production, or close to it. You'd be better off starting somewhere else, and we'll tell you where.
06 · Future cohorts
We're at full capacity, but always glad to talk. Tell us where you are with your agents and what worries you. It helps us shape future cohorts, and we'll get back to you.