Real Example: AI Daily Digest
A complete breakdown of building a production app using the 5-Round Planning Methodology
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Table of Contents
The Project Overview
What Is AI Daily Digest?
The Problem:
I subscribe to 15+ AI newsletters. Reading them daily takes 2-3 hours. I miss important articles because of information overload.
The Solution:
An RSS aggregator that:
Fetches articles from 15+ AI-focused newsletters
Summarizes each article in 2-3 sentences using OpenAI
Auto-categorizes content (Technical, Business, Trends, Tools)
Displays everything in a clean dashboard
Allows manual refresh on demand
Tech Stack:
Frontend: Next.js 14 (App Router), React 18, Tailwind CSS
Backend: Next.js API Routes, Node.js 18
Database: Supabase (PostgreSQL)
External Services: OpenAI API (GPT-3.5), RSS Parser
Deployment: Vercel
Why This Example Matters:
This isn’t a tutorial project. This is production complexity that breaks without systematic approach:
Complexity:
Multiple external APIs (RSS feeds, OpenAI, Supabase)
Async operations (feed fetching, AI processing)
Data processing (parsing, deduplication, categorization)
Performance considerations (handling thousands of articles)
Real Production Challenges:
What happens when RSS feeds fail?
How do you handle OpenAI rate limits?
How do you prevent duplicate articles?
How do you optimize database queries with large datasets?
The Results
Time to build: 18 hours from planning to production
vs. Previous project (Quick Viral Notes, built ad-hoc): 30+ hours, then 2-week refactor
Time saved: 12+ hours + avoided complete refactor
Planning Breakdown:
Round 1 (Goal Statement): 10 minutes → Saved 5 hours of scope creep
Round 2 (Requirements): 15 minutes → Saved 3 hours of unclear requirements
Round 3 (Architecture): 12 minutes → Saved 8 hours of refactoring
Round 4 (Master Prompt): Skipped (architecture fresh in context)
Round 5 (Phase Planning): 8 minutes → Saved 4 hours of unclear milestones
Total: 60 minutes planning saved 23+ hours