AI AGENTS

Daily Source-Backed Roundup for a Newsletter Draft

Each morning an agent pulls the day's top items in your topic, reads the primary sources.

CategoryAI Agents
Enginesim
Difficultybeginner
Triggerschedule
Steps6
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily morning schedule
  • ActionSearch last 24h itemsExa
  • ActionScrape each sourceFirecrawl
  • LogicRank and trim to top items
  • ActionDraft annotated blurbsOpenAI
  • OutputSave drafts to AirtableAirtableAirtable

What it does

This agent produces a daily newsletter draft for a single topic. It finds the day's notable items, reads each source in full, writes a short annotated blurb per item with the original link, and stores the draft as rows in Airtable so an editor can curate and ship.

When to use it

For newsletter writers and content teams who want a reliable first draft built from sources they can trust, every morning, without doing the discovery and reading themselves.

How it works

  1. 1A daily morning schedule triggers the run.
  2. 2Exa searches the last 24 hours for your topic and returns ranked links.
  3. 3Firecrawl scrapes each item so the agent writes from the real article, not a headline.
  4. 4A logic step ranks and trims to the strongest items, dropping anything off-topic.
  5. 5The agent (OpenAI) drafts a punchy annotated blurb and suggested headline for each kept item.
  6. 6Each blurb is written as an Airtable record with status "draft" for the editor to review.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ExaNeural search across the web.
  2. 2
    Connect FirecrawlCrawl, scrape, structured extract.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect AirtableBases, tables, views, automations.
  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.

Run this workflow in your colony.

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