Open practical research

Share one real
AI-agent run

Share one real AI coding-agent run: the task, the result, and how your team verified it.

Open practical research

Break down one real AI-agent run.

We are not asking for a general opinion about AI. Start with the latest task where you spent real time, budget, or team attention.Participants receive the final benchmark first and a short verification-process diagnostic. A public profile is optional.

01Your working context

These signals let us compare similar workflows instead of mixing fundamentally different ways of working.

Which AI coding tools did you use in the last 30 days?
02One concrete run

Describe the latest instance. A past action is more useful than a forecast of what you might do.

What exactly did you ask the agent to do?
What result did you expect?
What triggered you to run the agent at that moment?
03How you defined done

‘Good’ and ‘fast’ are hard to measure. Name the observable evidence behind the acceptance decision.

Which checks actually ran?
04What actually happened

Successful and failed runs are equally useful—we study the gap between an agent report and an accepted change.

05Public profile — optional

Leave contact details for an interview or let us feature you as a participant. We never publish your name or image without separate permission.

1 / 5

Want to go deeper?

The survey is the start,
not the whole project.

After the survey, you can share an anonymized case, propose a testable hypothesis, or help independently review the methodology.

01

Propose a case

You do not need to disclose the repository: context, task, result, and acceptance method are enough.

02

Propose a hypothesis

Test a hypothesis with a fixed task, equal budget, and acceptance criteria set in advance.

03

Become a reviewer

We invite practitioners to challenge the protocol, acceptance criteria, and limits of our claims before publication.

You may participate anonymously. Personal data and photos are published only with the participant’s separate consent.

Deeper participation

Send a proposal