Built for newsrooms that still care about voice.
Every publisher's AI article reads identical — same lead, same structure, same flattened tone. Trend Co-Pilot turns one trend into completely different articles by adapting voice, angle, and structure to the publisher writing it.
The problem.
Generic AI writing has flattened publisher voice. A tech blog and a national paper end up with the same article from the same trend — same hook, same three-point structure, same neutral register. Readers can tell. So can search engines. Voice is the moat, and the current generation of tools is dissolving it.
Our approach.
A persona engine, built around two axes: a per-category voice profile and a per-angle structure. Publishers paste in three URLs from their own archive — we distill the voice once, store it, and apply it on every generation. The same breaking trend becomes a sober explainer for one site, a sharp opinion piece for another, and a structured listicle for a third. Different leads, different cadence, different angle. Same source of truth.
Where we are.
Closed beta with six publishers live and four spots left. End-to-end flow runs today: trend discovery, persona-aware generation, fact-checked sourcing, and WordPress publish with featured image, slug, categories and tags. Self-hosted option is available for newsrooms with on-premise or data-residency constraints — same code, your infrastructure. Built by a small team with backgrounds in publishing and applied ML, working in the open.
Want a spot in the beta?
Six publishers in. Four spots left before we close cohort one and start charging.