Every product you've ever shipped has a front end: the surface designed for the humans who use it. It's where you spend your design budget, your copywriting hours, your accessibility reviews. Nobody would ship a product whose human interface was an accident.
Yet that is exactly what most products serve their fastest-growing users. When an AI agent arrives — sent by a customer to compare your pricing, buy a seat, open a ticket — it gets no front at all. It gets markup that was never meant to be read, flows that assume a mouse and human patience, and walls that were built for bots that meant harm.
An agent front is the deliberate version of that surface. It doesn't mean a second product or an API-only shadow copy. It means knowing how agents actually move through what you already have: where they succeed, where they stall, where they silently give up and tell their human "I couldn't do it." That last case is the expensive one — it's a churned customer you never even saw visit.
The uncomfortable truth is that you can't reason your way to agent readiness. Agents fail in ways designers don't predict: a cookie banner with an unlabeled button, a price hidden behind a hover, a form that validates on blur. The only way to know is to watch a real agent try.
That's the product we're building at ora. agentfront runs real harnesses through your real product, replays every trajectory step by step, and grades the result. The teams on our waitlist aren't optimizing a novelty metric — they're getting ready for the users who are already knocking.
Curious how ready your product is?
Join the waitlist