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

Research a short company list

Send:
Two to five company names or public URLs and the decision the research should support.
Ask for:
A starter brief with source links, gaps, confidence notes and follow-up questions.
Receipt:
Shows integrations used, unanswered questions, limits and whether more research is worth it.

Compare one small market

Send:
A market, two competitors and the angle you need to understand.
Ask for:
A concise comparison with evidence, gaps and next research step.
Receipt:
Shows public integrations, comparison criteria, limits and what needs human review.

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.