AI AGENTS

Weekly Loom backlog to Coda SOP index

On a weekly schedule, finds all new Loom recordings from the past week, drafts an SOP for each, and appends them as rows to a single Coda SOP index table for batch review.

CategoryAI Agents
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule fires
  • ActionList new Loom recordings and fetch transcriptsLoomLoom
  • ActionDraft an SOP per recordingHugging FaceHugging Face
  • ActionAppend SOP rows to Coda indexCodaCoda
  • OutputPost weekly digest summary to SlackSlack

What it does

Runs once a week, sweeps every Loom recording made in the last seven days, drafts a written SOP for each, and logs them all as rows in a Coda index table so a manager can review the week's knowledge in one place.

When to use it

Use it when recordings pile up faster than anyone documents them and you'd rather process the backlog in a weekly batch than react to each video. The Coda table becomes a living register of which procedures are captured, drafted, and still pending review.

How it works

  1. 1A weekly schedule trigger fires (e.g. Friday afternoon).
  2. 2The agent lists all Loom recordings created since the last run and fetches each transcript.
  3. 3For each recording a Hugging Face model drafts a concise SOP summary and step list.
  4. 4The agent appends one row per video to the Coda SOP index, with title, draft body, source link, and a 'needs review' status.
  5. 5A Slack summary message reports how many new SOP drafts landed in Coda and links the table.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect LoomVideo transcripts, libraries.
  2. 2
    Connect Hugging FaceModels, datasets, spaces — the open-source hub.
  3. 3
    Connect CodaDocs, packs, automations.
  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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