AI & RAG

Answer Front Tickets with Cited ReadMe Doc Snippets

When a new Front ticket arrives, search your ReadMe docs and Coda runbooks for relevant passages and draft an answer with inline citations as a private Front comment for an agent…

CategoryAI & RAG
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew inbound Front ticket receivedFront
  • ActionRetrieve matching ReadMe articlesReadMeReadMe
  • ActionRetrieve matching Coda runbook rowsCodaCoda
  • LogicSkip and tag if no passage clears relevance threshold
  • ActionDraft grounded answer with citationsOpenAI
  • OutputPost draft as internal Front commentFront

What it does

Turns every inbound support email into a draft reply grounded in your own documentation. It retrieves the most relevant ReadMe articles and Coda runbook rows, has an LLM write a concise answer, and attaches it as an internal Front comment with links back to each source — so the human agent sends a verified answer in seconds instead of hunting through docs.

When to use it

Use this when your support team answers the same product questions repeatedly and you want consistent, citation-backed first drafts without auto-sending to customers. Ideal for teams that keep public docs in ReadMe and internal SOPs in Coda.

How it works

  1. 1A new ticket in Front fires the trigger and the customer's message is extracted.
  2. 2The agent queries the ReadMe knowledge base and a Coda doc table for passages matching the question.
  3. 3If no passage scores above the relevance threshold, the ticket is tagged "needs-human" and skipped.
  4. 4OpenAI composes a grounded answer that quotes only the retrieved snippets and appends source links.
  5. 5The draft is posted as a private internal comment on the original Front ticket for agent review.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FrontShared inbox, conversations.
  2. 2
    Connect ReadMeAPI docs, changelog, auth.
  3. 3
    Connect CodaDocs, packs, automations.
  4. 4
    Connect OpenAIModels, embeddings, files.
  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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