Publish your first product

Prepare a release, document its status and choose an appropriate distribution channel.

What this step is for.

Publishing is a separate engineering stage. Freeze a release candidate, run a release checklist, create the distribution artifact, document known limitations and only then publish through the appropriate channel.

Keep the scope small enough that you can inspect the result yourself. AI can accelerate the work, but it should not erase the distinction between a suggestion, a changed file, a successful build and a verified product.

Take one concrete action.

Create a mock release folder containing the artifact or demo, version number, changelog, test checklist and rollback copy. Do not publish a practice artifact as production software.

Turn the idea into evidence.

Do the action in a disposable or backed-up workspace first. Write down what you expected to happen, what actually happened and what you changed when the result differed. This small habit becomes increasingly important as your AI tools gain access to more files and commands.

Do not move on until this is true.

You can reproduce the release package from the recorded source revision and explain how you would roll back.

Why we use this principle.

Nyfir Studios treats generated output and verified output as different states. Development work on local AI, Android software and bookkeeping workflows has repeatedly shown that recoverable state, explicit tests and clear product status are more useful than simply producing more output.