Agentic AI · Shipped Q3 2026

Inquiry Triage Pipeline

How abestack.com captures leads on a static Vercel site, queues them in Firestore, and runs Genkit triage before a human coordinator replies.

Shipped
Q3 2026
Client
Abe Stack (internal)
Stack
Firebase + Genkit
Firestore
Inquiry queue
Genkit
Auto triage
Human
Review gate
Fallback
FormSubmit

Problem

Static marketing sites usually stop at “email delivered.” That works until volume grows — then there is no queue, no urgency signal, and no structured way to spot agentic AI opportunities before the discovery call.

Solution

Architecture

abestack.com (Vercel static)
  → POST submitInquiry (Cloud Function)
  → Firestore inquiry_queue/{id}
  → onInquiryCreated → Genkit triageInquiry flow
  → Coordinator reviews in Firebase Console
  → Human reply via hello@abestack.com

Results

Every inbound lead is structured before reply. Agentic AI audit requests are flagged automatically. The same pattern ships on client projects — this case study is the live reference implementation.

Technology

Cloud FunctionsFirestoreGenkitGemini 2.5 FlashFormSubmitVercel

"We dogfood the same agentic stack we sell — static site on Vercel, intelligence on Firebase."

Abe Stack · Internal production system
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