New subscribers arrive as raw form rows that nobody sorts, so everyone gets the same generic welcome. This onboarder reads each signup, tags the person by interest and role, and files a clean record in Airtable.
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README.md
Why this subagent
New subscribers arrive as raw form rows that nobody sorts, so everyone gets the same generic welcome. This onboarder reads each signup, tags the person by interest and role, and files a clean record in Airtable.
From the tags it picks the right welcome sequence and fires the first email through SendGrid. New subscribers get a relevant onboarding flow from minute one, and your list stays segmented without manual sorting.
How it runs
Used at step 01 to kick off the pipeline.
Write
Used at step 01 to kick off the pipeline.
WebFetch
Used at step 01 to kick off the pipeline.
WebSearch
Used at step 01 to kick off the pipeline.
Ask the model to tag the subscriber by interest, role, and likely segment from their answers.
pending
Write the tagged record to Airtable and assign them to the matching welcome sequence.
pending
Trigger the first onboarding email through SendGrid and schedule the follow-up steps.
pending
Sample output
json
// Sample output
// (generated when the pipeline finishes)
From these signup answers, return JSON with interest tags, a segment label, and the welcome sequence id.
Unlock the rest
The full agent definition, install snippet, and starter task are gated for community members.
Members get the full `.md` agent file, the npm / pnpm install one-liners, a starter prompt that we've tuned against real runs, and the open-source repo when this automation ships there. One email, magic link, done.