We’re building Ever Works in public. Some things may be incomplete, missing, or broken while we continue improving the platform.We’re building Ever Works in public — expect a few rough edges.
Lifecycle · Step 1
Most AI tools start at writing. Ever Works starts a step earlier: agents read the web, scrape sources, talk to the topic, and produce briefs so the writing has a real point of view — not a paraphrase of the top SERP. Research happens once when you start a Work, then again on a schedule so the content stays current as the topic moves.
A ranked set of primary sources — sites, docs, papers, repos, social — with quality scores the writing pass can lean on.
For each Work page the runtime will write, a brief: angle, audience, sources to cite, must-cover points.
For directories and Awesome Repos, the actual catalogue of items the Work will list, with tags and short descriptions.
When sources change between scheduled runs, the affected pages are flagged for the writing + refresh passes.
Content quality is decided in the research, not the writing. A pretty paragraph on top of bad inputs is still bad content. Putting research first is what makes Ever Works posts read like a person thought about the topic, instead of like a model regurgitated it.
Write copy, posts, listings, and pages at scale — with editorial voice, sources, and structure.
Learn more →Runs on a schedule. Keeps content current, code patched, dead links fixed — long after launch.
Learn more →A per-Work, Git-backed store of brand, voice, research, and rules that every generation reads from — your built-in wiki and memory.
Learn more →Describe what you want to build. Ever Works researches it, ships it, and keeps it improving — content and code, owned in your own Git.