Fix Vibecode Slop in 5 mins

Your AI isn't consistent because you're missing one file. I had the same problem until I started using a data model file. In this video, I'm showing you the exact two prompts I use: one generates the data model, the second uses it to generate features without breaking my app. Testing this with AnimeLeak (my actual production app) adding an admin approval feature. Using Droid with Sonnet 4.5 in spec mode, but this works in Cursor, Claude, or whatever you're using. Tired of AI giving you garbage code? I'll be your senior dev for 5 days. → The AI Architect Intensive: https://rfer.me/1337 What you get: ✅ 5 days of 1-on-1 senior guidance (same time daily) ✅ Fix your broken prompting permanently ✅ Ship real features by Day 5 ✅ Your money back if you don't ship working code Only $1,337 • 3 spots per week • US/Europe/Asia welcome SUPPORT THE CHANNEL Join 200+ builders in our private Discord where we ship AI apps together: https://rfer.me/discord This stream is powered by Ray Transcribes. Get professional, AI-powered transcripts for your content. https://raytranscribes.com Wispr Flow (Voice to Text): https://rfer.me/wispr WHAT YOU'LL ACTUALLY SEE: - Prompt 1: Generates data model in about 45 seconds - What you get back: database schemas, service models, UI structures, entity relationships - Prompt 2: Reference the data model when adding features - Live example: Adding admin approval to AnimeLeak without breaking existing features - How Droid's spec mode generates a comprehensive plan - Setting up Mermaid Preview plugin in VS Code to visualize the model - Why reviewing the generated spec is crucial before letting AI run THE TWO PROMPTS: Prompt 1: "Create a data model for my app. I want to create an entity relationship diagram for my database schemas, service models, and UI data." Prompt 2: Reference data model file + describe the feature you want to add KEY TIMESTAMPS 00:00 - The One File Your AI is Missing 00:44 - Prompt 1: Generate a Data Model 01:12 - The Result: Data Model Documentation 02:12 - Prompt 2: Implement a New Feature 03:00 - Reviewing the AI-Generated Spec 04:17 - Why This Workflow is So Powerful 04:32 - Your 3-Step Action Plan 05:12 - Next Video: Live Code Generation TECH STACK TESTED: - Droid with Claude Sonnet 4.5 (spec mode) - VS Code with Mermaid Preview plugin - AnimeLeak app (Next.js + backend) - Data model MD file as source of truth THE REAL QUESTIONS: ✓ Does a data model file actually keep AI consistent? ✓ What should be in your data model documentation? ✓ Does this work with Cursor or other AI tools? ✓ How do you review AI-generated specs? ✓ What's the actual workflow for adding features? THE WORKFLOW I USE: 1. Generate data model with Prompt 1 (takes about 45 seconds) 2. Reference it when adding features with Prompt 2 3. Review the generated spec thoroughly 4. Let AI implement CONNECT WITH RAY X (Twitter): https://x.com/RayFernando1337 Weekly AI Insider Newsletter: https://dub.sh/RayMasterAI ABOUT THE HOST Ray Fernando is a former Apple engineer with 12+ years of experience, testing AI tools against production reality. Currently shipping apps live from Hawaii! #DataModel #Droid #Sonnet45 #AIcoding #SpecMode #ProductionCode #LiveCoding #AIworkflow #RayFernando #Mermaid