MARKET RESEARCH

Draft personalized follow-ups to speakers after an event

After an event ends, pulls the speakers you met, references the specific session each one ran.

CategoryMarket Research
Enginesim
Difficultybeginner
Triggerevent
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerOperator marks the speakers met at the event
  • ActionPull each speaker's session abstract and post-event commentaryExa
  • ActionDraft a personalized follow-up per speakerOpenAI
  • LogicHold back contacts missing a valid email
  • OutputCreate unsent Gmail drafts with addresses prefilledGmailGmail

What it does

Turns your post-event speaker list into ready-to-edit follow-up emails. For each speaker it recalls their session topic, finds a relevant hook, and drafts a short, specific outreach note saved as a Gmail draft, so nothing generic goes out and nobody gets forgotten.

When to use it

Run it the day after a conference while the conversations are fresh. It is for the window where speed and specificity win replies but writing twenty bespoke emails by hand is too slow.

How it works

  1. 1The flow triggers when you upload or mark the list of speakers you met.
  2. 2Exa pulls each speaker's session abstract and any recent post-event commentary.
  3. 3OpenAI drafts a personalized follow-up per speaker referencing their session and a concrete next step.
  4. 4A filter holds back anyone missing a valid email so drafts stay actionable.
  5. 5Each draft is created in Gmail, unsent, with the speaker's address prefilled.
  6. 6A summary lists every draft created so the rep can review and send in one pass.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ExaNeural search across the web.
  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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