Every release you ship — and every model update — can silently break the workflows agents rely on to adopt your product. Docka continuously tests whether real agents can still get the job done, and hands your team the fix — so you don't lose the customers who arrive through an agent.
More of your signups now arrive through an AI agent — a developer's coding assistant, a buyer's research agent, an operator wiring you in. The agent reads your docs, tries your API, clicks through your UI, and either gets the job done or gives up.
When it gives up, nothing shows up in your funnel. No error, no ticket, no churn event — just a customer who quietly went to whatever competitor's agent could finish the job.
And it's not an audit you pass once. Readiness decays — every release you ship and every model that ships moves the failure to a corner you'd never check.
Your critical jobs-to-be-done, run through frontier and open models in a live sandbox. Graded by execution — pass or fail, in a real container. No model opinion, no partial credit.
Where agents break, we hand your team the fix: a machine-readable runbook or typed interface that makes the job reliable — zero-install, so agents pick it up automatically.
Then we watch. Each product release and model update, we re-run the matrix and flag the corner that just started failing — before your customers find it. This is the part that recurs.
Docka is an agent test-harness run by engineers who've operated infrastructure at scale. The agents do the measuring; our people read the failures and design the fix. We're QA for the AI agents now using your product on your customers' behalf — not for your human users; your team owns that.
Every number comes from real agents executing real jobs in a sandbox — replay-verified, not a model's self-report.
Live in production: Manticore Search serves Docka runbooks at its docs today — agents get the lean version, humans get the full page.
We run a few of your critical workflows through a frontier agent and show you exactly where they fail. If they pass — you're fine today, and we tell you so.
We build the machine-readable runbook or typed interface that makes each broken job reliable for agents. Yours to publish.
The smoke detector. We re-measure every release and model update, and alert you the moment a workflow starts failing — priced to what a broken agent workflow costs you.
By construction, no one owns it. Docs own prose, engineering owns the product, QA owns human flows, DevRel owns evangelism — the agent's experience across every version × model is unowned. You don't run your own uptime monitor or security scanner either; you buy the horizontal tool.
No — the failures live in stale or absent knowledge, which capability doesn't touch. A smarter model still can't know the version you shipped last week or your proprietary feature. Model progress doesn't close the gap; it moves it.
It's a harness that runs your real jobs in real containers and grades them by execution — plus the people who read the failures and design the fix. The measurement across the version × model matrix is the durable layer.
The share of your customers who meet your product through an agent only goes up from here. The first products to stay reliable for them keep the customers the rest quietly lose.