AI prompt optimizer

Your prompt, written right.

You write it however it comes out and Prampt rewrites it so the model gets it right first time. What you left out is flagged, not invented.

  • ✓No card
  • ✓Working in 30 seconds
  • ✓Leave whenever you like

Trying it takes less time than reading this.

01Never makes things up
Where you did not say something, it leaves a marked gap instead of deciding for you. If you never mentioned length, «max 200 words» does not appear out of nowhere.
02It checks its own work
Every deep rebuild is scored by a second model. If it falls short, it is redone before you see it.
03Your prompts are not stored
What it cost and how long it took is recorded, never the text. The prompt goes to Anthropic to be rewritten and is not used to train models.

The same thing you were going to write, said so it works

Real examples, taken from the bank of prompts the engine is measured against. What is in brackets is what it did not know: it flags it instead of deciding for you.

you write

Write a cold email to a CEO about our SaaS.

you get

Write a cold email addressed to a CEO introducing [SaaS name], whose value proposition is [short description]…

Eight things a model decides for you when you leave them out

This is the actual analyzer that runs before every optimization, working here in your browser at no cost. Pick an example or paste your own prompt and see what a model would have to guess.

goal
output format
constraints
context
role
ambiguous terms
repeated instructions
structure
2of the eight would be left for the model to decide

who it is for

The model is not the problem. What you asked for is

A model answers the question it thinks it was asked. Two people writing the same request get different answers, and neither knows why.

every day

You use ChatGPT or Claude for work

You type fast, the model answers what it thinks, and three messages go into correcting it.

  • Getting it right first time instead of third
  • What you left out is flagged, not invented
  • The same request, put the way a model reads it

from code

You call a model from your product

An ambiguous system prompt throws no error: it gives mediocre answers on every call.

  • Instructions with no ambiguity to interpret
  • The output format spelled out explicitly
  • The same engine in your pipeline via API

the tool

From what you typed to what you actually send

  1. 01

    Paste the prompt

    In a hurry and without thinking. The rougher it is, the more there is to fix.

  2. 02

    Press Optimize

    A few seconds and one credit. «Deeply» redoes the whole structure and uses three.

  3. 03

    Check the diff and copy it

    Word by word. The bracketed gaps are what the engine could not know: you fill those in.

And from your pipeline, the same engine in a single call

One POST with your key and you get the rewritten prompt back. Same engine as here, nothing to install.

  • One call
  • Monthly quota per plan
  • Keys you can revoke

What you get when you sign up

  • ✓Five AI optimizations a month, for good — not a trial that expires
  • ✓Your own dictionary and your history, from the first prompt
  • ✓Nothing invented: what you left out comes back flagged, not decided
Start now, freeNo card · Working in 30 seconds
No card and no expiry. When it gets tight, Pro is €0.33 a day.