The blueprint
Trigger
Refer a Candidate is submitted
Every run starts from one submission.
Transform
AI Fit Summary
AI reads the input and returns a structured result.
Action
Notify Recruiting
Action
Confirm to Referrer
Action
Celebrate in Slack
Referral programs die from silence. This one emails the referrer at every single stage.
Employees stop referring when their last referral vanished without a word. This recipe fixes the specific thing that kills the program: the referrer is notified automatically at every stage, from submission to hire. Along the way, AI writes a neutral fit summary so recruiting can triage faster (advisory only, never a score or a decision) and a Hired update marks the bonus eligible and celebrates it in the recruiting channel, which is the part that makes the next referral happen.
Free · no credit card · you connect your own apps
Installing provisions each one, wired together and ready to run.
Where employees submit a referral: candidate, role, resume, why they're a fit, and a consent checkbox. Publishing it auto-creates the response sheet that serves as the Referrals pipeline.
Recruiter-facing, for moving a referral forward. Each submission updates the matching row on the Referrals sheet by candidate email and emails the referrer.
Fires on a new referral: generates the neutral AI fit summary, logs it to the pipeline, notifies recruiting in Slack with the resume and summary, and confirms with the referrer by email.
Fires on a recruiter status update: finds the matching referral, records the new stage, emails the referrer a progress update, and on Hired marks the bonus eligible and celebrates in Slack.
You connect your own accounts. Swap any app that offers an alternative at install.
Posts each new referral (candidate, role, resume link, and AI fit summary) to the recruiting channel. Swap for Telegram or Discord.
Confirms the referral to the referring employee. Swap for Brevo.
Celebrates a hire and flags the referral bonus as eligible in the recruiting channel.
Emails the referrer a plain-language update whenever a recruiter moves the referral to a new stage.
The Refer a Candidate form captures the candidate, the role, their resume, and why the employee thinks they'd be a great fit, with a consent checkbox, because referring someone shouldn't happen behind their back. Publishing the form auto-creates its response sheet, which becomes the Referrals pipeline.
A TinyGPT step produces a neutral, job-relevant fit summary so recruiting can triage faster. It uses only what the referrer and candidate provided. It is explicitly advisory (never a hiring decision, never a score) and a recruiter reads every referral regardless.
The referral, the resume link, and the AI summary land in your recruiting Slack channel, and the referrer gets an instant confirmation email. That confirmation matters more than it looks: it's the first proof the employee gets that their referral went somewhere real. Swap Slack for Telegram or Discord, and Gmail for Brevo, at install.
Recruiters move a referral along using the Referral Status Update form. It's matched to the original referral by candidate email and updates that same pipeline row, one record from submission to hire, not a second sheet that drifts out of sync with the first.
Every status change emails the referrer a plain-language update. A move to Hired also marks the referral bonus eligible and posts a celebration to the recruiting channel, which is how the program keeps generating referrals instead of quietly running dry.
Everything it creates is an ordinary form, table and workflow in your workspace. Edit any of it after install. Nothing is locked.