SUMMARIZATION

Daily voice-memo digest with archived reports to Slack

On a daily schedule, gathers the day's field voice memos from Drive, transcribes and summarizes each into a structured report, archives the reports back to Drive.

CategorySummarization
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily end-of-shift schedule
  • ActionList today's voice memos in DriveGoogle DriveGoogle Drive
  • ActionTranscribe each recording with ElevenLabsElevenLabsElevenLabs
  • ActionSummarize into structured reports and digest with OpenAIOpenAI
  • ActionArchive per-job reports to DriveGoogle DriveGoogle Drive
  • OutputPost consolidated digest to SlackSlack

What it does

Instead of reacting to each memo, this workflow batches the whole day. At a set time it collects every field voice memo recorded that day, transcribes and structures each one, saves a clean report document to Drive, and posts a single digest to Slack summarizing all visits and any flagged follow-ups.

When to use it

Use it when dispatch reviews the day's field activity in one pass rather than memo by memo, and wants an archived paper trail of structured reports alongside a quick Slack summary.

How it works

  1. 1A daily schedule fires at end of shift.
  2. 2The workflow lists voice memos added to the Drive folder since the last run.
  3. 3ElevenLabs transcribes each recording in turn.
  4. 4OpenAI converts each transcript into a structured report and writes a combined digest highlighting follow-ups.
  5. 5The per-job reports are saved as documents back into a dated Drive archive folder.
  6. 6The consolidated digest is posted to the Slack dispatch channel for review.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect Google DriveDocs, sheets, slides, files.
  2. 2
    Connect ElevenLabsText-to-speech, voice cloning.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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