CUSTOMER SUPPORT

Auto-generate a Loom video reply for complex Intercom how-to questions

When an Intercom conversation is tagged as a complex how-to question, this generates a personalized walkthrough script, records it as a Loom screen-recording.

CategoryCustomer Support
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerIntercom conversation tagged needs-videoIntercomIntercom
  • ActionFetch transcript + customer contextIntercomIntercom
  • ActionDraft walkthrough narration scriptOpenAI
  • ActionGenerate Loom walkthrough videoLoomLoom
  • OutputReply in Intercom with Loom linkIntercomIntercom

What it does

Turns long, hard-to-explain Intercom how-to tickets into a Loom video reply automatically. When an agent tags a conversation `needs-video`, the workflow reads the customer's question and account context, drafts a step-by-step narration script, generates a Loom walkthrough, and replies inside the same Intercom thread with the embedded video link.

When to use it

Use it for support teams that field repetitive but visually complex how-to questions (multi-step setup, configuration flows, dashboard navigation) where a written reply is slower and less clear than a short screen recording.

How it works

  1. 1An Intercom conversation receives the `needs-video` tag, firing the trigger.
  2. 2The flow pulls the full conversation transcript plus the customer's plan and locale from Intercom.
  3. 3An LLM step distills the question into a numbered walkthrough script tuned to that customer's setup.
  4. 4A Loom action records the walkthrough and returns a shareable video URL.
  5. 5The final step posts a reply note into the original Intercom conversation with the Loom link and a one-line summary.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect IntercomConversations, contacts, articles.
  2. 2
    Connect LoomVideo transcripts, libraries.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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