DOCUMENT OPS

Weekly Loom SOP Roundup to Coda Index

On a weekly schedule, gathers all new Loom walkthroughs, converts each into a structured SOP, and adds them as rows to a searchable Coda SOP index with screenshots and metadata.

CategoryDocument Ops
EngineSim + Paperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule fires
  • ActionList new Loom recordings this periodLoomLoom
  • LogicFilter drafts, dupes, too-short clips
  • ActionGenerate structured SOP with screenshotsImage generation
  • OutputAdd SOP rows to Coda indexCodaCoda
  • OutputSend weekly SOP digest to channelSlack

What it does

Batch-processes a week of recorded walkthroughs into a single, browsable SOP library. On a set schedule it finds every new Loom from the period, turns each into a structured, screenshotted SOP, and registers it as a row in a Coda table — owner, category, recorded date, and a link to the generated doc — so the whole org has one searchable index instead of scattered videos.

When to use it

Use it when many people record Loom continuously and you want a low-touch, scheduled rollup rather than per-video automation. Great for building and maintaining a central SOP catalog.

How it works

  1. 1A weekly schedule trigger fires.
  2. 2The flow lists all Loom recordings created since the last run.
  3. 3A logic step filters out drafts, duplicates, and anything under a minimum length.
  4. 4For each remaining recording an agent generates a structured SOP with step screenshots.
  5. 5It writes one row per SOP into the Coda index table with metadata and doc link.
  6. 6A digest of the week's new SOPs is delivered to the team channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect LoomVideo transcripts, libraries.
  2. 2
    Connect CodaDocs, packs, automations.
  3. 3
    Connect Image generationManaged Nano Banana image renders, metered per image.
  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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