Publisher
A modern content site is really a dozen jobs stitched together writing, translating, illustrating, assembling newsletters, scheduling social, answering readers, and quietly hoping nothing on the site has broken since the last deploy. Managent Publisher is an AI-powered CMS, built on Next.js and Tailwind, that runs those jobs as one governed system so your editors can do more editing.
What the work looks like today
Each job on a content site lives in a different tool, owned by a different person, and none of them share what they know about the reader. Drafting is in one place, translation in another, images pulled from generic stock, newsletters rebuilt by hand, social scheduled somewhere else, and the site's health depends on whoever happens to notice a broken page first. Output scales linearly with headcount, and no single layer understands the audience it is publishing to.
- Drafting and translation live in separate tools with manual handoffs
- Images are pulled from generic stock instead of matched to the story
- Newsletters and per-channel social variants are rebuilt by hand every cycle
- Broken links, stale pages, and factual drift are found by readers, not the team
How the agent works
Create & translate
The authoring agent drafts long-form pieces from a brief and localizes each into your target languages against a house-style glossary, flagging idiomatic risks for review.
Illustrate in context
The media agent reads the finished article and generates hero images and illustrations matched to its topic, tone, and brand instead of pulling generic stock.
Engage the reader
On-site AI chat answers from your own content, while assessment and interview agents turn each article into quizzes and structured conversations that deepen engagement.
Distribute everywhere
The distribution agent assembles newsletters, prepares per-channel social copy, and schedules send windows across time zones from one approved source.
Watch the site
The integrity agent continuously audits the live site broken links, stale content, factual drift, tone, and uptime and raises issues before readers hit them.
Learn every reader
A backend profile-builder assembles a live picture of each reader from their AI chats, browsing, and downloads, enriched with online search so the next piece, translation, and send lands sharper than the last.
What the human does
Every generated asset draft, translation, image, newsletter, social post passes an editor before it goes live, with one-click approve, edit, or reject; rejections feed back as training signal. The integrity monitor escalates to a human instead of silently rewriting published pages, and reader profiles stay inside your own environment. The human owns editorial judgment and reader trust; the agents own the production.
The work, in practice.
From zero to production in weeks.
Integration
Connect your CMS, translation memory, image pipeline, newsletter tool, and social stack. Load the house-style glossary and brand kit.
Pilot lane
Run one language or one section as a shadow pipeline. Editors compare agent drafts, translations, and generated images against their own baseline.
Widen rollout
Expand to remaining languages and channels, switch on chat, assessments, and the integrity monitor. Tune rejection thresholds from real editor feedback.
Steady state
Full production across every lane, with your team owning editorial policy and reader trust and our team owning agent uptime.
A live engagement running this pattern.
More case studies from the floor.
Let’s deploy
Publisher.
30 minutes with our team. We’ll walk through your specifics the integrations, the failure modes, the shape of a 6-week pilot.