Vibe Coding Expert: How to Build & Deploy a $1M App in the New Era of AI (Step-By-Step Guide)

Palmer suggests noticing inefficiencies in daily life, jotting them down, and prototyping them on weekends; Calum adds a notebook exercise of logging how you spend your time.

Palmer says vague prompts like 'build me a workout tracker' tend to fail, so you should break the idea into pieces such as a database, login, sounds and mobile-friendliness. Then write a descriptive prompt of about five sentences.

Palmer says he usually approves the agent's plan after a quick check for needless complexity. He says that if you can describe the idea in five sentences you should send it, because compute is cheap and trying teaches more than over-planning.

Palmer compares AI results to a distribution of quality, like a baseball batting average, so the same prompt can give different outcomes. He says not to be afraid to fail or start over, and that Replit checkpoints let you roll back files and data.

In the live build the timer didn't count down, and Palmer fixed it by describing what worked and what didn't. He says context can include prompts, screenshots, URLs, errors and documentation, and Calum highlights his quote that debugging with AI is when you start believing you can build anything.