AI agent task tests are not released yet. Today every website gets the same automatic site check. These are the journeys the task tests will cover, with the same stop before login, cart, checkout and payment.
Each scenario library models the facts, controls and recovery paths an agent must handle in that domain.
Available today: verify product facts, prices, stock and delivery with step-by-step evidence. Agents stop before cart; cart and checkout on a staging copy are coming later.
For retailers, marketplaces, DTC teams, commerce platforms and agencies.
Explore this use caseComing later: verify dates, availability, total price and policies. Agents stop before a booking starts.
For hotels, travel platforms, appointments, events and rentals.
Explore this use case
Coming later: test whether agents can find accurate product facts, answer from your docs and reach signup. Agents stop before login or account creation.
For self-service SaaS, product-led growth, developer tools, support and billing teams.
Explore this use caseComing later: verify seller, offer, fee and fulfillment facts. Agents stop before cart, enquiry or booking.
For retail, service, B2B, rental and peer-to-peer marketplace teams.
Explore this use caseToday: repeatable site checks with evidence and fixes your engineering teams can verify. Coming later: AI agent task tests for client journeys.
For digital agencies, consultancies, technical SEO teams and web delivery partners.
Explore this use case
Domain rules change. The evidence contract does not.
Literal checks confirm whether the intended final state was reached. An AI check can only confirm or flag the result.
A step log and masked step screenshots preserve what happened during the run. There is no video.
Step timings and repeated attempts show the real cost of friction.
Layout shifts measured on each page reveal when rendering changes get in the way of a valid step.
These blockers show up in every vertical. Agents stop at the ones that need a login or a form that sends data.
Prioritize customer journeys by business importance and observed agent friction.
Reproduce failures with evidence and acceptance criteria for the fix.
Review permissions, data handling, injection exposure and action boundaries.
Aiscovery turns one critical customer goal into a controlled test contract.
Agree the persona, goal, prerequisites, fixtures and allowed actions.
A named AI agent reads public pages, follows links and uses site search and filters, then stops before login, cart, checkout, payment or any form that sends data.
Check the final state independently and preserve evidence for engineering review.
We are selecting design partners in ecommerce, booking, SaaS, marketplaces and digital agencies.