SUMMARIZATION

Log tagged Front decisions to an Airtable accountability tracker

When a teammate applies a 'decision' tag to a Front conversation, an AI extracts the decision, its owner, and any committed action item.

CategorySummarization
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDecision tag applied in FrontFront
  • ActionFetch tagged conversation historyFront
  • ActionExtract decision, owner, action item, due dateOpenAI
  • LogicRoute action items vs decisions of record
  • OutputCreate record in Airtable trackerAirtableAirtable

What it does

Gives operators a deliberate, human-in-the-loop way to capture decisions: the moment someone tags a Front conversation as a decision, the AI reads the thread, extracts the decision plus any action item and owner, and records it in an Airtable tracker built for follow-through.

When to use it

Use it when not every thread matters but the ones that do need to be tracked to completion. The manual tag keeps the registry high-signal, and Airtable's views let you filter open action items by owner or due date. Ideal for project leads and account teams running commitments out of email.

How it works

  1. 1A teammate applies the configured decision tag in Front, firing the trigger.
  2. 2The workflow fetches the tagged conversation's full message history.
  3. 3An OpenAI model extracts the decision, the responsible owner, any committed action item, and an inferred due date.
  4. 4A logic step routes threads that contain an action item versus those that are decisions of record only.
  5. 5A new record is created in the Airtable tracker with status, owner, and due-date fields populated.

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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