CUSTOMER SUPPORT

Turn tagged Front tickets into developer-doc drafts in ReadMe

When a support agent applies a "doc-this" tag to a resolved Front conversation, drafts a developer-facing article and creates it as a hidden ReadMe page for the docs team to edit…

CategoryCustomer Support
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • Trigger"doc-this" tag applied in FrontFront
  • ActionFetch thread and code snippetsFront
  • ActionRewrite into developer docOpenAI
  • LogicRoute to reference vs. guide category
  • OutputCreate hidden ReadMe pageReadMeReadMe

What it does

Gives agents a one-tag escape hatch to flag technical resolutions worth documenting. Tagging a resolved Front thread with "doc-this" hands the transcript to an AI that writes a developer-oriented article and stages it as a hidden page in your ReadMe developer hub.

When to use it

Use it for API and integration support where the best documentation is born from real debugging threads. The agent-driven tag keeps a human in the loop on what's worth documenting, so you draft signal, not noise. Great for dev-tools and platform teams.

How it works

  1. 1An agent applies the "doc-this" tag to a resolved Front conversation, firing the trigger.
  2. 2The flow confirms the conversation is resolved and pulls the full thread plus any code snippets shared.
  3. 3OpenAI rewrites the exchange into a developer doc with a problem statement, example requests, and a working fix.
  4. 4A logic step routes API-reference content versus guide content to the correct ReadMe category.
  5. 5The article is created as a hidden ReadMe page, attributed to the source ticket for the docs team to review and publish.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FrontShared inbox, conversations.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect ReadMeAPI docs, changelog, auth.
  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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