Ever feel like building cool tech is way too hard? Think again! One expert recently went on an awesome mission: to build five different AI projects in just 30 minutes using the power of ChatGPT and the AI coding tool, Lovable.
These weren't just simple toys, either. The project list included a web app, an internal tool, a mobile app, a dashboard, and a full-blown AI agent. The best part? For many features (Levels 1 and 2), you can get them working with almost no code, just the right prompts.
Before diving into the builds, the expert shared the two secret weapons you need to succeed in AI-assisted coding:
Secret Weapon #1: The T.F.C.D.C. Framework š§
This framework is called Tiny Ferrets Carry Dangerous Code because AI coding can sometimes be risky (you might accidentally expose sensitive info or mess up your work if you don't understand version control). Hereās the breakdown for safe building:
T (Thinking): You have to think through exactly what you want to build! The best way to do this is by writing a Product Requirements Prompt (PRP). This is where you describe the target audience, the customer experience, core features, and the vibe you're going for. More effort here means better results from the AI.
F (Frameworks): Don't make the AI start from scratch! Point it towards robust existing packages (like React for the front end or Tailwind for styling).
C (Checkpoints): Always use version control! GitHub is the gold standard for saving your work and tracking changes.
D (Debugging): Be patient. You will spend time debugging! When something breaks, copy the detailed error messages and give them to the AI to help fix the problem.
C (Context): Need better results? Add more context! This includes mock-ups, screenshots, and clear examples.
Secret Weapon #2: The Two Modes of Coding š ļø
When you're building, you are only ever in two modes:
Implementing a Feature: You provide context, mention frameworks, and make incremental (small) changes.
Debugging Errors: You focus on understanding the project structure, providing error messages, and giving additional context (like screenshots).
š§± Building Block: The Meta Prompt
To ensure the best starting point for any project, a special "meta prompt" was used in ChatGPT. This prompt guides the user step-by-step to create a perfect Product Requirements Prompt (PRP) that Lovable can use.
āØ The Product Requirements Prompt (PRP) Generator āØ "You are a friendly AI product strategist inside Lovable the collaborative AI product builder your job is to help someone usually a founder developer or a product thinker clarify their product idea you'll do this by asking one question at a time in a supportive casual way The goal is to co-create a clear product requirements prompt that lovable can turn into a scope plan for development."
The Five AI Projects Built š
Here is a look at the diverse applications that were built using these frameworks, showing how the complexity scaled from Level 1 to Level 3:
Project 1: The Everything Calculator (Web App) š§®
Did you know a surprising number of things in life can be boiled down to a calculation? From net worth to travel budgets, this web app aims to handle it all.
Level 1: The user describes any type of calculator they want, and the AI instantly builds it with a clean interface.
Level 2: It becomes a Universal Calculator Platform where users have their own login, can browse calculators, save their favorites, and rate them in a community marketplace.
Level 3: It becomes a Social Calculator Platform where users can share calculators via links or QR codes, embed them in websites (like a blog article), and even build a creator following.
Tech Stack Snapshot: React Vite and Tailwind for the front end, Superbase for authentication (user logins) and database.
Project 2: The Freelancer Toolkit (Internal Dashboard) š¼
Freelance work involves a ton of annoying admin stuffālike writing proposals, generating invoices, and tracking payments. This dashboard is built to handle the boring parts!
Level 1: A simple document generator creating professional proposals, contracts, and invoices from a simple form.
Level 2: Becomes a Client Management System that stores client history, tracks invoice status, and generates Stripe payment links so clients can pay instantly. This feature was noted as genuinely impressive because typically, implementing monetization takes a long time.
Level 3 (The Smart Assistant): The AI analyzes everything you've done and gives you smart suggestions, such as reminding you that you might be undercharging or sending automated follow-up emails via the Gmail API when people haven't paid.
Project 3: Mobile Drawing Coach (Mobile App) āļø
For anyone who wants to learn how to draw but finds standard tutorials discouraging, this mobile app gives personalized feedback. It was built as a mobile app specifically so users could easily take pictures of their drawings. The product was named Sketch Buddy.
Level 1: A simple drawing evaluator. The user takes a photo of their drawing and gets AI-powered, specific feedback and links to helpful tutorials.
Level 2: Includes a Progress Tracker to save past drawings, assess skill improvement over time, and help craft specific drawing goals.
Level 3 (Super Interactive): This ambitious goal adds real-time speech and video functions so the AI can coach you as you draw. It could even directly analyze your work and annotate on top of it (like pointing out a crooked nose in a portrait) using the Web Speech API and Canvas API.
Project 4: Personal Finance Dashboard (Spend Buddy) š¤
This dashboard was designed for people who hate spreadsheets, struggle with discipline, and have terrible memoryāmaking it an "ADHD-friendly" app called Spend Buddy.
Level 1: A simple statement analyzer. Users upload bank or credit card statements, and the AI analyzes the spending and gives personalized advice.
Level 2: A Real-Time Tracker. It connects to your bank via the Plaid API to get live data, showing visualizations (using Recharts), spending patterns, and sending gentle push notifications to remind you if youāre approaching spending limits.
Level 3: A full AI Finance Coach that can send daily spending summaries straight to WhatsApp and provide conversational advice.
Project 5: AI Task Manager Agent (Brain Dash) š§
If standard to-do lists don't work because your schedule is chaotic, you need an AI agent that prioritizes tasks based on how you feel, not just what needs to be done. This agent integrates the six key components of an AI agent: model, tools, memory/knowledge, audio/speech, guardrails, and orchestration. The product is called Brain Dash.
Level 1: A Smart Task List. Users brain-dump tasks via text or voice, and the AI assigns priority (e.g., noting that filming a video is more important than buying an orchid).
Level 2: Integrates data sources like Apple Healthkit or Google Fit (health data, sleep, steps) to give suggestions based on your physical and mental energy levels.
Level 3: A full Productivity Coach that has real-time conversations, integrates your calendar, and can time-block your schedule for you.
By always keeping the T.F.C.D.C. framework in mind and alternating between implementing features and debugging errors, the builder successfully showed how diverse, powerful applications can be created quickly with AI assistance.
Analogy Corner: Think of using AI to build apps like baking with a highly skilled robotic chef. You, the developer, don't have to measure every tiny ingredient (that's the framework setting up the tools and coding structures), but you do have to write a detailed recipe (that's the PRP) and watch carefully while the robot is working (thatās the implementation and debugging modes) to make sure it doesn't accidentally grab salt instead of sugar! šš¤.
