EveryEssay isn t just another AI that helps you write better sentences.

We re building a system that turns real human wins into shared intelligence.

Instead of teaching AI to sound smart, we let alumni, practitioners, and the community train it using real materials documents, breakdowns, insights, and reflections from people who ve actually figured things out.

Maybe it s just the corner of the internet I m in,
but every time I open social media
someone is launching a new AI startup.

And somehow they all give the same vibe:
AI agent for X
AI assistant for Y
AI workflow for Z

Different branding, different color palette, same energy.

I keep running into the same pattern with AI coding tools: I type a quick starter prompt, get something that looks promising for a moment, and then, inevitably, it collapses into messy code and outputs I never wanted in the first place.

I ve seen this happen to others too. The tool isn t the problem. The problem is the prompt. Or rather, the lack of structure, clarity, and intention behind it.

So I m curious:

How do you plan your prompts when working with AI for code generation?
How much context and detail do you include up front?
Do you start small and iterate, or do you specify the entire mental model before generating anything?
What habits or prompting frameworks have actually helped you get clean, reliable code?