Draft Everywhere

One draft becomes many — while the writer keeps the final say.

Draft Everywhere generates versions shaped for each platform’s structure, length, readability, and tone. Every result stays editable, so AI accelerates the first pass without deciding what gets published.

The writing was finished.
The repetitive work had only started.

One idea often needed to become a LinkedIn post, a Substack article, a Note, an X thread, a Medium story, a portfolio update, and a business website update. Each platform expected a different structure, length, and writing style.

The recurring loop was always the same: copy the text into ChatGPT, explain the platform, copy it back, adjust the formatting and hashtags, then repeat. More time went into moving content around than creating it.

Make AI assistance accessible — and keep the creator in control.

Many useful open-source AI tools still require people to clone a repository, install dependencies, configure API keys, or run code locally. Draft Everywhere was designed around a simpler promise: open a website, start writing, and use AI only where it reduces mechanical work.

A short path from raw thinking to ready-to-edit drafts.

The interface keeps source writing and generated versions in the same workspace. Writers can move between platforms without losing the original thought or opening another tool.

The interface follows the writer’s mental model: source beside output.

The two-column workspace makes the relationship between the original idea and each adapted version visible. Platform tabs reduce context switching, inline editing prevents another copy-paste loop, and clear generation limits make the cost of AI actions understandable.

The product supports English outputs across X, Substack, Medium, and LinkedIn, with Chinese output for Xiaohongshu. It also includes a local API mode for people who prefer to use their own provider credentials.

Ship the smallest useful loop, then learn in public.

The first public release focused on the complete core workflow: one source draft, multiple platform-specific versions, editable output, and one-click copying. Every account includes free daily generations, making the value understandable before asking for commitment.

Publishing the code openly created another feedback path through bug reports, feature suggestions, and pull requests. The next areas of work are better context awareness, more customization, improved generation quality, and smarter workflows.

A useful AI product removes repetition without removing judgment.

The product became clearer when automation stopped being the goal. Writers do not need another system that takes over their voice or publishing decisions. They need a faster starting point, visible control, and a clean path to make every version their own.