Prompts as Infrastructure: Treating AI Like a Teammate
Reusable prompts, house style, and context files — investing in AI the way you'd onboard a hire.
By FGA Labs
Most people treat AI as a slot machine — type something, hope for a good answer, try again if not. That works for one-off questions and wastes the real opportunity. If you use AI seriously, the prompts and context you feed it are infrastructure, and they deserve to be built and maintained like any other system.
Onboard it like you would a hire
A new teammate needs to know how you work — your conventions, your standards, the context behind the code. AI is no different. The difference between a mediocre result and a great one is usually not the model; it is how much of that context you bothered to provide.
- Standing context files that describe how each project works and what 'good' looks like.
- Reusable prompts for the tasks you do repeatedly, refined over time instead of retyped.
- A documented house style so output comes back consistent instead of random.
Refine, don't restart
When a prompt produces a bad result, the instinct is to rewrite it from scratch. The better move is to treat it like a bug: figure out what context was missing and add it, so the next run — and every run after — is better. Prompts that get versioned and improved compound. Prompts you throw away every time never do.
The model is the same for everyone. Your context and your prompts are the part that is actually yours.