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5 AI App In 30 Minutes (ChatGPT + Lovable Tutorial)

BY 6knrz
July 31, 2025•
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AI Projects with ChatGPT and Lovable: Key Points & Frameworks

Objective

Class Note: Summary and key methodologies for building diverse AI projects using ChatGPT (OpenAI) and Lovable, organized by project, frameworks, and implementation steps.

General Approach & Methodologies

AI-Assisted Coding Frameworks

1. Tiny Ferrets Carry Dangerous Code Framework

  • Thinking: Start with clear product thinking; create a Product Requirements Document (PRD) or Product Requirements Prompt (PRP) before coding.
    • PRP includes target audience, customer experience, core features, tech stack, and mockups.
  • Frameworks: Identify and use existing robust frameworks and packages instead of inventing from scratch (e.g., React for front-end, Tailwind for styling).
  • Checkpoints: Consistent use of version control (preferably Git/GitHub).
  • Debugging: Methodically debug using clear error messages, context, and AI assistance.
  • Context: Always provide detailed context (mockups, error messages, examples) to the AI for best results.

2. Implementation Modes

  • Feature Implementation Mode: Provide context, mention frameworks, and make incremental changes.
  • Debugging Mode: Understand code structure, supply error messages/screenshots, and provide context.

Project Summaries

1. Everything Calculator (Web App)

Purpose

  • Users can generate calculators for any need (net worth, freelance rates, fitness, etc.).
  • Great for automating repetitive calculations and client interactions.

Complexity Levels

  • Level 1: User describes a calculator, AI builds it instantly.
  • Level 2: Users can log in, browse, save, and rate calculators in a community marketplace.
  • Level 3: Calculators can be shared on social media, embedded on other sites, creator followings enabled.

Implementation Notes

  • Use meta-prompt in ChatGPT to craft a complete PRP.
  • Suggested stack: React, Vite, Tailwind, Superbase, ShadCN UI.
  • Implementation and debugging are done incrementally. Use Lovable’s built-in code viewer and version control integration.

2. Freelancer Toolkit (Internal Tool)

Purpose

  • Streamline freelance admin tasks (proposals, contracts, invoices, payment links).

Complexity Levels

  • Level 1: Basic document generation (proposals, contracts, invoices).
  • Level 2: Adds client management system (stores documents, tracks invoice status, manages timelines, Stripe payment links).
  • Level 3: Smart assistant provides contract analysis, suggests pricing, sends reminders for unpaid invoices, automated emails.

Implementation Notes

  • Use Stripe for payment, Superbase for authentication and storage.
  • Prioritize function before UI polish; use Lovable’s UI editor for quick UI changes.
  • Use edge functions for external API integration (Google Calendar, Gmail).

3. Mobile Drawing Coach (Mobile App)

Purpose

  • Provide personalized drawing feedback for beginners, track progress, and encourage artistic growth.

Complexity Levels

  • Level 1: Photo-based feedback and tutorial recommendations.
  • Level 2: Progress tracking, skill assessment, goal setting.
  • Level 3: Real-time audio/video feedback, direct annotation on drawings.

Implementation Notes

  • PRP for "Sketch Buddy"; leverage OpenAI Vision API, mobile camera API, Mood/confidence check-ins.
  • Use median.co for turning web project into a mobile app.
  • For advanced features, add Web Speech API and Canvas API for real-time feedback and annotation.

4. Personal Finance Dashboard (Web App)

Purpose

  • Simple, motivating finance dashboard for users who dislike spreadsheets and need gamified incentives.

Complexity Levels

  • Level 1: Upload and analyze bank statements for advice.
  • Level 2: Real-time account tracking, dashboard visualizations, push notifications.
  • Level 3: AI finance coach, daily summaries via WhatsApp, conversational advice.

Implementation Notes

  • PRP for "Spend Buddy"; Plaid API for real-time bank data, OpenAI Vision API for statement analysis, Recharts for visualization.
  • Focus on gradual, step-by-step onboarding for users.

5. AI Task Manager Agent (AI Agent)

Purpose

  • Smart, adaptive task manager that prioritizes tasks based on user's current mood, energy levels, and other data; suited for people with dynamic schedules.

Complexity Levels

  • Level 1: Smart task list with text/audio input, priority suggestions.
  • Level 2: Integration of health data (steps, sleep, mood, etc.).
  • Level 3: Full productivity coach with real-time chat, calendar integration, time blocking.

Implementation Notes

  • Six key agent components: model, tools, memory/knowledge, audio/speech, guardrails, orchestration.
  • PRP for "Brain Dash." Integrates OpenAI, Web Speech API, Apple HealthKit, Google Fit API, and calendar.
  • Use Lovable’s agent workstream for specialized orchestration features.

Process Steps for All Projects

  1. Start with a Meta-Prompt: Use a guided, step-by-step prompt to create a thorough PRP using ChatGPT.
  2. Paste PRP into Lovable: Begin implementation using Lovable’s no-code/low-code builder.
  3. Iterate Incrementally: Build levels one and two first; only add complexity once foundational features are stable.
  4. Version Control: Use Lovable’s GitHub integration at all checkpoints.
  5. Switch Between Modes: Move between build mode (features) and debug mode (fixes) as needed.

Key Takeaways & Tips

  • Always clarify your idea with a detailed PRP before building.
  • Leverage existing frameworks, libraries, and APIs to accelerate development.
  • Incrementally increase project complexity, ensuring stability at each step.
  • Maintain good engineering practices (functionality first, visual polish later, use version control).
  • Provide the AI with as much context as possible for best results (mockups, error logs, etc.).
  • Use assessments and guided meta-prompts to refine ideas and implementation.

Suggested Stack & Integrations (Commonly Used)

  • Frontend: React, Vite, Tailwind, ShadCN UI
  • Backend: Superbase (storage, authentication, edge functions)
  • AI: OpenAI (ChatGPT, Vision API)
  • Payments: Stripe
  • Visualization: Recharts
  • APIs: Plaid (finance), Calendar APIs, Health APIs
  • Mobile: median.co (web-to-mobile conversion)

Framework Reference

Tiny Ferrets Carry Dangerous Code:
- Thinking (product thinking, PRP)
- Frameworks (use robust packages)
- Checkpoints (version control)
- Debugging (systematic error solving)
- Context (supply as much as possible)

Closing Notes

  • Try building one of these projects!
  • Apply discussed frameworks for systematic, effective AI-assisted app development.
  • Check out referenced videos and webinars for deeper dives and career tips in AI.

Assessment for Learners:

  • What are the two main AI-assisted coding frameworks shared in the video?
  • How should you structure your implementation and debugging workflow?
  • Which project would you want to build and why? What levels of complexity would you start with?