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We train your team.Training

Measured
An assessment of how your QA team uses AI, a one-day workshop on your own tickets, and a handbook written from the numbers. Measured before and after.

Three things. Start with the first.

We teach QA teams how to put AI agents inside their own testing process, and we measure whether it worked. The assessment comes first; the other two grow out of it.

01 · ASSESSMENT · fixed priceWe audit how your QA team uses AI today and hand you the setup that fits.Two weeks. A written architecture with the files attached. Before-and-after numbers.02 · WORKSHOP · one dayOne day with your team, on your tickets, in your tools.For teams who want to see the agent working before they change anything.03 · HANDBOOK · waitlistThe QA edition of how to build an AI-driven testing workspace.Written after three assessments, not before. Your numbers are in it, anonymised.
01 · ASSESSMENT

Your team already uses AI. Nobody knows if it helps.

We spend two weeks inside your QA team's actual work: the tickets, the prompts, the tests that came out. We measure. Then we hand you a written architecture, skills, subagents and hooks tuned to your product, and measure again.

Ask for the fixed priceFixed scope · fixed price · two weeks
assessment · your-company · week 0 → week 6SAMPLE
what we measurebeforeafter
Tokens per tickethow much the agent burns to close one QA ticket41k12k
Tickets closed without re-promptdid the first answer hold up3 / 108 / 10
Defect escape ratebugs that reached production; needs a release cycle——
Time to first testfrom ticket opened to first test running2h 10m25m
Illustrative. Your numbers replace these. We don't publish other people's as yours.
what you receive
01Architecture document. How your team should work with agents, written for your product and your tracker.
02The files. Skills, subagents and hooks, committed to your repo, working on day one.
03The numbers. Before and after, on your tickets, in a table your CTO can read in a minute.
04A half-day handover with the team that will use it.
1

Week one: we watch

We sit in your QA channel and your tracker. We read the prompts your team writes and the tests that come out. We measure.

2

Week two: we build

Skills, subagents and hooks for your product, committed to your repo. Your team runs them on real tickets while we are still there.

6

Week six: we measure again

Same tickets, same people, new setup. The difference is the deliverable. If nothing moved, the report says so.

02 · WORKSHOP · one day

One day. Your tickets. Your tools.

Not slides. We bring the agent, you bring five real tickets from your backlog, and by the afternoon your testers have run them end to end in Cursor or Claude Code. You leave with the repo installed and a shared idea of what "done" means when an agent did the work.

Ask for dates
workshop · agendaremote or on site · up to 8 people
09:00Where AI breaks QA. Ten minutes, then we stop talking.
09:30Install the repo in your codebase. Skills, subagents, hooks.
10:30Ticket one, together. Acceptance criteria to test cases to automation to run.
13:00Tickets two to five, in pairs. We walk around.
16:00Review. What the agent got wrong, what the hooks caught, what "Not verified" means for your sign-off.
03 · THE QA HANDBOOK · waitlist

Written after three assessments. Not before.

The QA edition of how to build an AI-driven testing workspace, with real teams' before-and-after numbers in it. We won't write it from opinions.

assessments done · 0 / 3Join the waitlist

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