CONTENT CREATION
Weekly Trend Research to Ranked Brief Queue
On a weekly schedule, researches trending topics in your niche, scores them by relevance and search opportunity.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule fires
- ActionSearch trending topics and questionsExa
- ActionSummarize and score topics by opportunityOpenAI
- LogicKeep top-scoring topics, dedupe against backlog
- OutputWrite ranked briefs to Airtable backlogAirtable
What it does
Every week it pulls fresh trending topics and questions in your subject area, has the model score each by audience relevance and content opportunity, then writes the highest-scoring ones as ready-to-assign briefs in an Airtable backlog. Your writers start each week with a prioritized queue instead of guessing what to cover.
When to use it
When your content pipeline stalls at the ideation stage and you want a steady, data-informed stream of briefs rather than ad-hoc brainstorms. Best for teams who plan editorial calendars from a backlog.
How it works
- 1A weekly schedule triggers the run.
- 2Exa searches for trending articles, questions, and discussions in your configured topic area.
- 3OpenAI summarizes findings and scores each candidate topic for relevance and opportunity.
- 4A logic step keeps only topics above the score threshold and dedupes against existing backlog entries.
- 5Each surviving topic is written as a structured brief row in Airtable as the final output.
Set it up
What you configure once, before turning it on.
- 1Connect ExaNeural search across the web.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect AirtableBases, tables, views, automations.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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