See llms.txt for all machine-readable content.
Inbound leads pile up in a form inbox and the good ones wait as long as the bad ones. This workflow scores every lead with GPT-6.1-sol, routes it by tier, alerts sales on Slack and Telegram for the hot ones and keeps a clean pipeline sheet. It also catches repeat inquiries, parks unreliable AI scores for a human, sends cold leads a polite reply and chases hot leads nobody has touched after a day.
Last updated: November 2026.
A webhook receives the lead, a Set node normalises the fields and an IF node rejects leads without an email, company or message. Valid leads are matched against the Leads tab so a repeat inquiry from the same email in the last 30 days is flagged on Telegram instead of being scored twice. An AI agent scores the rest from 1 to 10 with a category, summary, recommended action and follow up question. A Code node checks that reply, and malformed or out of range scores go to a Review Queue tab with a Slack ping. Trusted scores are appended to the pipeline and a Switch routes them: hot leads alert Slack and Telegram and get logged as alerted, warm leads get a nurture note, and cold leads get a short honest reply by Gmail. Twice a day an SLA lane reminds sales about hot leads that are still untouched after 24 hours, and every Monday a digest goes out on Telegram and email.
What happens when the same person submits the form twice?
Check Duplicate Lead finds their email in the last 30 days, the team gets a Telegram note with the existing lead id and the lead is not scored again.
What if the AI returns broken JSON or a strange score?
Check Score Quality marks it NEEDS_REVIEW, the lead lands in the Review Queue tab and Slack asks someone to score it by hand.
How do hot leads avoid being forgotten?
They are logged as HOT_ALERTED, and the SLA lane reminds Slack once if contacted_at is still empty 24 hours later.
Do cold leads hear anything back?
Yes. Send Cold Lead Reply sends one short, honest email and the lead stays in the sheet.
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