agent hive

LEAD GENERATION

Enrich and route each webinar registrant in real time on signup

Fires the moment a registrant submits the webinar form, enriches and scores them instantly, and routes high-fit leads to a rep while logging everyone for nurture.

CategoryLead Generation
Enginesim
Difficultyintermediate
Triggerwebhook
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerRegistration form posts webhookHTTP webhook
  • ActionEnrich company from email domain via ExaExa
  • ActionScore ICP fitOpenAI
  • LogicBranch on high-fit threshold
  • ActionAlert rep on high-fit registrantSlack
  • OutputLog all registrants to AirtableAirtableAirtable

What it does

Processes webinar registrants the instant they sign up rather than in a post-event batch. Each new registrant is enriched and ICP-scored on submit, then routed: high-fit leads get a same-day rep notification, everyone else is logged to a nurture base. Reps can reach out before the webinar even airs.

When to use it

Use it when your registration form can post a webhook and you want to capitalize on intent at the moment of signup — booking a pre-webinar call with strong-fit registrants instead of waiting for the recording.

How it works

  1. 1The registration form posts a webhook with the registrant's details on submit.
  2. 2Exa enriches the company in real time from the email domain.
  3. 3OpenAI returns an ICP fit score and a one-line reason.
  4. 4A branch checks whether the score clears the high-fit bar.
  5. 5High-fit registrants trigger an immediate rep alert in Slack with the reason.
  6. 6Every registrant, routed or not, is written to Airtable for tracking and nurture.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect ExaNeural search across the web.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Connect AirtableBases, tables, views, automations.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    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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