CUSTOMER SUPPORT
Intercom repro completeness check with escalating follow-up loop
Scores inbound Intercom bug conversations for reproduction completeness and runs a timed follow-up loop.
How it runs
The automated pipeline, trigger to output.
- TriggerNew Intercom bug conversationIntercom
- ActionScore repro completeness, list gaps (LLM)OpenAI
- LogicBranch: complete enough to hand off?
- ActionAsk for missing fields, tag awaiting-reproIntercom
- LogicScheduled re-check: reminder, then close stale
- OutputClose or hand off conversationIntercom
What it does
When a customer reports a bug in Intercom, the workflow scores the conversation for repro completeness and, if it falls short, sends a friendly message asking for the exact gaps. A scheduled checker then nudges again after a wait window and finally closes stale, never-completed reports so they don't clog the inbox.
When to use it
Use it for chat-first support where bug reports arrive as casual messages that rarely include steps or environment. It chases the details politely instead of leaving half-formed reports open forever.
How it works
- 1A new Intercom conversation classified as a bug triggers the run.
- 2An LLM scores the message against the repro rubric and lists missing fields.
- 3A branch decides whether the report is complete enough to hand off.
- 4If incomplete, Intercom sends a templated ask for the named missing fields and tags the conversation `awaiting-repro`.
- 5A scheduled re-check looks at conversations still tagged `awaiting-repro`: it sends one reminder, and on the second pass with no reply it closes the conversation with a courteous note.
Set it up
What you configure once, before turning it on.
- 1Connect IntercomConversations, contacts, articles.
- 2Connect OpenAIModels, embeddings, files.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

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