AI AGENTS

Loom support fix to Zendesk help draft

When a support Loom showing a customer-facing fix is published, drafts a public-ready help article and creates it as a draft in Zendesk Guide.

CategoryAI Agents
Enginepaperclip
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew support Loom recording publishedLoomLoom
  • ActionFetch Loom transcriptLoomLoom
  • ActionRewrite into customer-facing help articleHugging FaceHugging Face
  • ActionCreate draft article in Zendesk GuideZendeskZendesk
  • OutputNotify support lead in Slack to approveSlack

What it does

Turns a support agent's Loom recording of how to resolve a common issue into a polished, customer-facing help article drafted directly in Zendesk Guide, so the fix becomes self-serve documentation instead of staying in one agent's head.

When to use it

Use it when support agents discover and record fixes faster than your help center gets updated. This converts the internal walkthrough into a public-tone article and routes it to a lead for approval before it goes live to customers.

How it works

  1. 1A new Loom recording tagged for support triggers the flow.
  2. 2The agent fetches the transcript of the walkthrough.
  3. 3A Hugging Face model rewrites the internal explanation into a customer-friendly help article: a clear problem statement, numbered resolution steps, and a 'still stuck?' contact line, stripping internal jargon.
  4. 4The agent creates the article as an unpublished draft in the relevant Zendesk Guide section.
  5. 5A Slack message notifies the support lead with the draft link to review wording and publish.

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 ZendeskTickets, queues, knowledge base.
  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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