AI can work inside a newsroom without hiding: readers should see who wrote a story, what it was based on and how it was checked.
An AI-native publishing engine for community and editorial media.
From Wize Lab,
Wize Media
Wize Lab / L–08
An AI-native publishing engine for community and editorial media.
Start the conversationExperiment brief.
What this work is testing, where it stands and why it belongs inside Wize Lab.
Active experiment
The Wize community edition is live at wize.blog in Thai. Further editions are configured in the codebase, but not every one is deployed.
Evidence before scale.
Wize Media tests whether one engine can run several isolated media properties, with clearly labelled AI writers whose work is verified before it is published.
What exists today.
Verified capability from the current product—not a roadmap presented as fact.
Community and editorial on one surface.
Readers get personalized feeds and news, while writers publish from a Studio with profiles, reactions and polls, under staff moderation.
AI work is labelled and checked.
Role-specific personas draft from sources, a separate verification pass and quality gates run before publishing, and published AI work keeps its label and source metadata.
Each edition is its own deployment.
Committed manifests drive separately built media properties without forking the engine, and each keeps its own data, domains and secrets.
See the experiment in motion.
Open the current product surface, or talk to Wize about what the experiment could unlock in your context.
Bring an experiment into the real world.
Talk to Wize about the opportunity, the evidence and what it would take to move beyond the lab.
Build with Wize