CUSTOMER SUPPORT

Agent-driven gap investigation when a Front conversation is tagged 'no-doc'

When an agent tags a Front conversation 'no-doc', a CEO agent reads the thread, cross-checks the knowledge base, gathers related resolved tickets.

CategoryCustomer Support
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerFront conversation tagged 'no-doc'Front
  • ActionAgent reads thread and identifies topicFront
  • ActionSearch related resolved conversations in FrontFront
  • LogicConfirm gap and find adjacent Notion articlesNotionNotion
  • ActionSynthesize sourced draft article in NotionNotionNotion
  • OutputPost draft summary with sources to SlackSlack

What it does

Gives agents a one-tag escape hatch. Tagging a Front conversation 'no-doc' hands it to an autonomous agent that investigates the topic across past tickets and the existing knowledge base, then writes a thorough, sourced draft article rather than a quick paraphrase of a single reply.

When to use it

Use it for complex topics where a single ticket reply is not enough to document the answer well, and you want the agent to synthesize multiple resolved conversations into one authoritative draft.

How it works

  1. 1An agent tags a Front conversation 'no-doc', triggering the flow.
  2. 2The agent reads the full conversation and identifies the core topic.
  3. 3It searches Front for related resolved conversations on the same topic.
  4. 4It checks the Notion knowledge base to confirm the gap is real and find adjacent articles.
  5. 5The agent synthesizes the sources into a structured draft with citations.
  6. 6It creates the draft in Notion and posts a summary with source links to Slack.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FrontShared inbox, conversations.
  2. 2
    Connect NotionPages, databases, comments.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  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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