MARKET RESEARCH

Monthly Category Language-Shift Digest Email

Once a month, rolls up the emerging terms, rising velocities, and competitor renames captured in Airtable into a narrative digest and emails it to stakeholders so leadership sees…

CategoryMarket Research
Enginesim
Difficultybeginner
Triggerschedule
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerMonthly schedule triggers digest
  • ActionRead month's records from AirtableAirtableAirtable
  • LogicRank new terms, movers, and fades
  • ActionWrite narrative digest with OpenAIOpenAI
  • OutputEmail digest to stakeholders via GmailGmailGmail

What it does

Turns a month of tracked term data into a readable executive summary. It reads the accumulated emerging-terms and velocity records from Airtable, has OpenAI write a narrative covering what language entered the category, what accelerated, and what faded, then emails the formatted digest to your stakeholder list via Gmail.

When to use it

Use it when individual term alerts are too granular for leadership and you want one monthly read on where your category's language is heading. Pairs well with the weekly scan and velocity trackers, which feed the Airtable data this digest summarizes.

How it works

  1. 1A monthly schedule triggers the digest.
  2. 2The month's term and velocity records are read from Airtable.
  3. 3A logic step ranks the top new terms, biggest movers, and notable fades.
  4. 4An OpenAI step writes the ranked data into a narrative digest.
  5. 5The formatted digest is emailed to the stakeholder list via Gmail.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AirtableBases, tables, views, automations.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect GmailRead, draft, send, label.
  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.

Run this workflow in your colony.

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