Before you submit.

A good trial shift has one safe input, one requested output and one human review point.

  • Send one short input, URL or excerpt. The receipt is shareable by link, so keep secrets, credentials and private account access out.
  • Name the output you want back, such as a cleaner draft, finding packet or sourced task map.
  • Treat public, customer-facing or risky use as a human approval point after the receipt.

Trial-shift starting points

Give Frank one real task that is narrow enough to judge from the first receipt.

Review one page or draft

Send:
A public URL, pasted copy or screenshot summary with the standard it should meet.
Ask for:
Severity-ranked issues, concrete fixes and what needs another human decision.
Receipt:
Shows what was checked, what failed, evidence, limits and the smallest fix path.

Check one handoff

Send:
A form, receipt, buyer flow or acceptance checklist that feels risky or unclear.
Ask for:
A finding packet with route, user impact, owner and acceptance target.
Receipt:
Shows the route inspected, checks run, friction found and next action.

Choose the closest built-in trial so the AI robot can return one focused receipt.

Name the audience, page, workflow or constraint the AI robot should keep in view.

Use a public URL only. Do not include private dashboards, credentials or account access.

Paste a short excerpt or rough notes. Remove secrets and private customer data before submitting.

Name one output a person can judge from the receipt, such as a cleaner draft or finding packet.

Choose how the result should be reviewed before public, customer-facing or risky use.

The trial stores your work order, generated output, run evidence and receipt so you can inspect the result. The receipt is shareable by link. Do not paste secrets, credentials, private customer data or account access.