🚀 AI Feature Intake Engine

Turn raw product requests into Jira-ready stories in under 1 minute, with humans in control

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❌ The Problem

Great product ideas fail every day. Not because they’re bad, but because they arrive too late, too vague, or lose context before reaching the backlog.

Typical intake issues:

• Requests come in via email, chat, docs, or forms
• PMs and TPMs spend hours rewriting and clarifying
• Context gets lost between stakeholders
• By the time it reaches Jira, urgency is gone
• Engineers get half-baked tickets → rework and delays

Speed without control is dangerous. Control without speed is expensive.

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✅ The Solution

The AI Feature Intake Engine accelerates product request review without removing human judgment.

In under 60 seconds, it:

• Summarizes incoming requests
• Breaks them into Jira-ready technical tasks
• Surfaces ambiguities early
• Requires explicit human approval before action

AI does the heavy lifting. Humans make the decision.

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🧠 How It Works (High Level)

Request arrives From Google Sheets, form, or intake source 1.

AI enrichment Gemini studies internal product features and architecture and converts raw input into:

• Architectural summary
• Clear technical sub-tasks

Human-in-the-loop review Reviewer:

• Reads a clean, readable summary
• Approves or rejects explicitly (no auto-creation)

Outcome

• ✅ Approved → Jira-ready payload
• ❌ Rejected → Context-aware rejection email

All of this happens before backlog pollution.

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Architecture

The system is intentionally split into three independent workflows for clarity, safety, and scale.

1. Main Intake Flow (AI Generation)

Google Sheets → Filter → Google Drive Files → Gemini → Code → Email

• Reads feature requests from Google Sheets

• The workflow triggers when a new row is added in the Request Intake sheet

• Internal Google Drive documents, like product features and technical architecture, are analyzed first

• Gemini AI generate:

• Architectural summary

• Technical task breakdown

• Normalizes AI output into a strict internal schema

• Sends an email with a secure Review Draft link

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2. Review Draft Flow (Human-in-the-loop)

GET Webhook → HTML Review Form → Respond to Webhook

• Opens a clean HTML review page

• Pre-fills AI-generated summary and tasks

• Reviewer can:

• Edit content

• Approve or reject

• Add rejection reason if needed

This step prevents deterministic AI behavior from pushing bad specs downstream.

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3. Submission Flow (Decision Engine)

POST Webhook → IF → Jira / Rejection Email

• If approved → Create Jira issue
• If rejected → Send rejection email with feedback to the requester
• Fully auditable and reversible

No brittle automation. No blind Jira creation. No black-box AI behavior.

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🎯 Why This Matters (TPM / Technical PM Perspective)

From a delivery standpoint:

• Late or unclear requests create downstream chaos
• Engineers lose trust in product signals
• Backlogs fill with low-quality tickets
• Roadmaps drift due to rework

This engine pulls quality forward:

• Faster intake ≠ rushed decisions
• Context preserved at the point of review
• Clear ownership before Jira is touched
• Fewer surprises during delivery

This is decision acceleration, not task automation.

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⏱️ Real Impact

• ⏳ Intake review time: Hours → < 1 minute
• 📉 Rework caused by unclear tickets: Significantly reduced
• 🧠 Human oversight: 100% preserved
• ⚙️ Jira hygiene: Protected

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🛠️ Built With

• n8n — workflow orchestration
• Gemini — structured AI summarization
• Google Sheets — lightweight intake source
• Google Drive — document repository
• Jira — final system of record
• Strict JSON schemas — deterministic AI output
• HTML-based review UI — no stray JSON, no confusion

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Demo

🎥 Watch the full workflow demo on Youtube: 👉 https://youtu.be/bt-PUd4Po6g

🎥 The walkthrough shows:

• Intake → AI processing
• Human approval step
• Jira-ready output

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👤 Who This Is For

• Technical Product Managers
• TPMs / Delivery Leads
• Startup founders handling high request volume
• Teams tired of backlog chaos
• Anyone who wants AI speed without losing control

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💼 Need Help Getting Started?

Setting up the AI-Feature-Intake-Engine can be complex. I offer personalized setup sessions to help you get up and running quickly.

📅 Book a Setup Session

30-Minute Quick Help — $50 Perfect for quick questions, troubleshooting, or guidance on specific features. 👉 https://cal.com/kavish-sekhri/30min

60-Minute Deep Dive — $100 Comprehensive setup assistance, configuration, and Q&A. 👉 https://cal.com/kavish-sekhri/60min

What’s Included

• ✅ One-on-one video consultation
• ✅ Personalized setup assistance for your team
• ✅ Configuration guidance for your specific use case
• ✅ Q&A
• ✅ Follow-up support via email