Decide what you are building
Before a single prompt. What it does, who it is for, what it must not do. Vague in, vague out — no model fixes a decision you have not made.
Manocate is the process I actually used. How an idea becomes a written spec, becomes working code, becomes something people use at work every day. Not theory. Not demos.
Most people open an AI tool and start typing. That is the mistake, and it is why their projects stall at 70% finished. Here is the order that actually works.
Before a single prompt. What it does, who it is for, what it must not do. Vague in, vague out — no model fixes a decision you have not made.
A short written brief beats a clever prompt every time. It is the difference between an AI that guesses at your intent and one that builds to it.
AI writes the code. You verify it against what is actually there, not what you assumed. This step is where most people get burned, and it is learnable.
Live and imperfect beats perfect and unreleased. Shipping is a skill of its own: deploying, watching it fail, and fixing it without breaking the rest.
Video walkthroughs of real features going from nothing to deployed — including the parts that went wrong.
Not a list of tips. The discipline that stops AI confidently building the wrong thing.
What each AI tool is genuinely good at, where each one falls over, and how to hand work between them.
Real specs, real briefs, real prompts — the working files behind shipped software, not written for a course.
There is a lot of noise in this space. Here is what Manocate is not, so nobody joins expecting the wrong thing.