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Start with a piece of work you just finished. Use Screenpipe to recover something you would otherwise have to reconstruct: a client service entry, a decision from a call, or the next step on a project. You need a working installation, a short recorded work session, and an AI connection. Complete the quickstart first if those are not ready.

Choose one result

Choose a result you will actually use today. You can evaluate it before setting up a recurring automation.

Check the source before asking AI

  1. Note the date, start time, end time, timezone, and app used for your task.
  2. Open the timeline for that period. Find a recognizable screen or phrase.
  3. For a call, check that the relevant transcript is available. A meeting entry alone does not prove transcription is complete.
  4. If evidence is missing, inspect recording permissions, selected devices, and exclusions. Use troubleshooting before making the prompt more elaborate.
Screenpipe can only retrieve available evidence. An email seen on screen is partial mailbox context; a browser page opened during a task does not prove the task was completed.

Paste one prompt into chat

Use Screenpipe chat, or your connected AI assistant after verifying its MCP connection. Replace the bracketed fields.

Recognize a useful answer

This fictional project brief shows the level of specificity to look for:
Check three things: the output names the right task, its evidence supports the claims, and it saves a real reconstruction step. Correct names and missing context before asking for a longer report.

Save the result where you work

For a file-capable assistant, follow up with:
For a connected notes app, confirm the destination and read back the saved page. A successful chat response is not evidence that another app was updated.

Turn the useful result into a routine

After a few accurate manual results, use reliable scheduled reports to save the prompt as a scheduled task. Review AI usage and controls before choosing its frequency.