CUSTOMER SUPPORT

Log Front snippet gaps to Airtable when nothing fits

Detects Front conversations where no saved reply matches the customer's question with enough confidence and logs the gap to an Airtable backlog so the content team can write…

CategoryCustomer Support
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew message in Front inboxFront
  • ActionScore best snippet matchOpenAI
  • LogicBranch on whether top score clears threshold
  • ActionDedupe against open gapsAirtableAirtable
  • OutputLog or increment gap row in AirtableAirtableAirtable

What it does

Every time a new customer message arrives in Front, this workflow checks it against your existing snippet library. When the best match still falls below the confidence threshold, it treats that as a content gap and records the question, inbox, and conversation link in an Airtable table dedicated to missing canned replies. Over time you get a ranked backlog of the questions your library cannot answer.

When to use it

Use it when you already run a snippet suggester and want to close the loop on coverage. It turns the moments agents had to free-hand a reply into a prioritized to-do list for whoever owns your help content.

How it works

  1. 1A new inbound message in Front triggers the run.
  2. 2The message is matched against the snippet catalog and scored by the model.
  3. 3A branch checks whether the top score clears the gap threshold.
  4. 4If it does, the run ends quietly with no action.
  5. 5If it does not, the question and metadata are written as a new Airtable row, deduped against existing open gaps so repeated questions increment a count instead of creating duplicates.

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 AirtableBases, tables, views, automations.
  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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