Instead of writing a wall of text, you decompose your prompt into visual blocks — role, context, objective, constraints, examples, output format. Then compile to the format your model processes best: XML for Claude, Markdown for ChatGPT and Gemini. Available as: → Web app (no account required) → Chrome extension (sidebar inside ChatGPT, Claude, and Gemini) → Claude Code MCP (for terminal workflows) You can also paste a rough idea and let AI break it into blocks automatically.

MongoDB Atlas — Build AI apps, not pipelines. Unified data on Atlas.

Build AI apps, not pipelines. Unified data on Atlas.

Hey everyone! 👋 I built flompt because I had an embarrassing moment: a colleague who's been prompting AI for years looked at one of my prompts and told me he had no idea what I was asking for. That made me realize: if a human can't parse my prompt, the model isn't getting the best version of it either. Every good prompt has the same building blocks (role, context, objective, constraints, examples, output format), but when you write them inline they all blur together. flompt makes that structure explicit and visual. The part I'm most excited about: it compiles differently per model. Claude gets XML (which is how Anthropic recommends structuring prompts), ChatGPT and Gemini get clean Markdown. Same intent, better delivery. It ships as a web app, a Chrome extension that sits inside your AI chat, and a Claude Code MCP for devs who live in the terminal. Would love your feedback — what blocks or features would make this more useful for your workflow? ⭐️ GitHub: https://github.com/Nyrok/flompt

I've been spending way too much time iterating on prompts lately. You write something, get a mediocre output, tweak a word, try again, restructure the whole thing, try again...

The biggest time sink for me isn't even the writing it's figuring out the right structure. Where does the context go? Should I add constraints before or after examples? Am I giving the AI too much, or not enough?

I've been spending way too much time iterating on prompts lately. You write something, get a mediocre output, tweak a word, try again, restructure the whole thing, try again...

MongoDB Atlas — Build AI apps, not pipelines. Unified data on Atlas.

Build AI apps, not pipelines. Unified data on Atlas.

flompt

Turning messy prompts into optimized ones.

Turning messy prompts into optimized ones.

Forum Threads

How's your prompt engineering experience going?

Forum Threads

How's your prompt engineering experience going?