SUMMARIZATION

Route a support Loom into a Zendesk help-article or macro draft

Transcribes a support-team Loom walkthrough and, based on its tag, either drafts a public help-center article or an internal macro reply in Zendesk for an agent to review…

CategorySummarization
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew support Loom recording detectedLoomLoom
  • ActionFetch transcript and chapters from LoomLoomLoom
  • LogicBranch on tag: public article vs internal macro
  • ActionDraft article or macro from transcript
  • OutputCreate unpublished Zendesk draft for agent reviewZendeskZendesk

What it does

When a support agent records a Loom showing how to resolve an issue, this workflow transcribes it and decides where it belongs: a customer-facing help article or an internal agent macro. It produces a ready-to-edit draft in Zendesk with the steps written out and the Loom embedded for reference.

When to use it

Your support team solves the same issues repeatedly and captures fixes on Loom. Use this to convert that tribal knowledge into reusable help content and macros without an agent rewriting every clip by hand.

How it works

  1. 1A new Loom appears in the support team's recording space, triggering the workflow.
  2. 2Loom returns the transcript plus chapter timestamps.
  3. 3A logic step reads the video's tag or title prefix to decide the destination: `public` versus `internal`.
  4. 4An agent step (Paperclip) rewrites the transcript into the right register — friendly help-article steps or terse internal macro instructions — keeping timestamped links to the relevant moments.
  5. 5The draft is created in Zendesk as an unpublished help-center article or a draft macro, assigned to the recording agent for final review.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect LoomVideo transcripts, libraries.
  2. 2
    Connect ZendeskTickets, queues, knowledge base.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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