🎬 YouTube Title Processor

AI-powered YouTube title optimization built with Motia workflows

Turn raw YouTube titles into viral, SEO-optimized, and brand-safe recommendations.
It generates multiple title variations, compares their potential performance, and uses AI to recommend the strongest title to publish, along with a short explanation.

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Visual Walkthrough

User Interface (Frontend)

Simple form where users submit YouTube channels and receive AI-powered title suggestions

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Motia Workbench (Event Flow Visualization)

Real-time event-driven workflow execution in Motia's visual debugger

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Terminal Logs (Runtime Execution)

Step-by-step processing logs showing the entire pipeline in action

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Email Delivery (Final Output)

AI-generated viral, SEO, and professional title variants delivered via email

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Tech Stack

• Motia – workflows & steps
• Gemini API – AI title generation
• Resend – email delivery
• TypeScript

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Problem

Creators struggle with:

• Choosing the right title
• Balancing virality vs SEO
• Making decisions based on intuition instead of data

Even great videos fail due to poor titles, leading to low CTR and low reach.

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Solution

YouTube Title Processor uses Motia’s unified backend runtime to:

• Analyze recent YouTube videos from a channel
• Generate three optimized title variants per video:
  • Viral (emotion and curiosity driven)
  • SEO (keyword-rich and discoverable)
  • Professional (brand-safe and clean)
• Score titles for viral potential
• Automatically recommend the best-performing title with reasoning
• Deliver a clean, decision-ready email report

No dashboards. No clutter. Just decisions.

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Key Features

A/B/C Title Testing

• Viral: emotional and curiosity-driven
• SEO: optimized for search discovery
• Professional: clean and brand-safe

AI “Best Pick” Recommendation

• Compares title performance scores
• Selects the highest-impact title
• Explains why it was chosen

Thumbnail Text Generator

• Three short, emotional thumbnail phrases per video
• Optimized for CTR (3–4 words max)

Email-First UX

• Clean, readable SaaS-style report
• Output understandable in under 30 seconds
• Designed for fast decision-making

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Why Motia?

This project leverages Motia’s core strengths:

• Steps as a single core primitive
• Event-driven workflows
• Durable state management
• Clean separation of concerns
• Production-ready execution model

No extra queues, cron jobs, or background services required.

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Workflow Architecture

1. API Step – Submit channel name and email
2. Resolve Channel Step – Fetch channel details
3. Fetch Videos Step – Get recent uploads
4. AI Title Step – Generate variants, scores, and recommendation
5. Email Step – Send final report
6. Error Handler Step – Graceful failure handling

All orchestrated using Motia workflows.

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Future Improvements

• Weighted scoring (SEO vs brand vs viral)
• Batch channel analysis
• Creator performance tracking

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How to Run the Project

This project runs the frontend and backend separately.

Frontend

The frontend is located inside the public folder.

cd public
npx http-server -p 3005

Backend (Motia Workbench)

From the root directory of the project

npm run dev

This starts the Motia backend runtime and you will be able to see Motia Workbench UI there.

Built for

Backend Reloaded Hackathon
WeMakeDevs × Motia