I built QueueWrite because my AI writing workflow had become ridiculous. Research in one place, writing/editing in another, sources scattered across tabs, images somewhere else, then everything manually moved into WordPress for multiple clients. I originally wanted something simple: give it a queue of article titles and have it work through them properly and organise them into an editable list for me to distribute.
That turned into QueueWrite, a native Mac app that researches before it writes. It can learn the site you re writing for, research each article, use web and optional academic sources, write and validate the draft, add contextual images, then publish to WordPress. The best part, it's a complete BYOK product.
The slightly unexpected lesson from building it was that generating words was the easy part. Giving every article enough context and accurate research to produce something worth publishing was the actual problem. I m launching it here tomorrow, so I thought I should probably introduce myself before asking you all to judge it
Curious to hear from other makers: what part of your own AI workflow still involves far too much copying and pasting between tools?
QueueWrite is a native Mac AI writer that researches before it writes. Queue articles, gather web and academic sources, add contextual images, review the evidence and publish better content. Bring your own API keys, configure once, and let QueueWrite handle the workflow.
