PRODUCT · CONTENT-AGENTS
An autonomous content fleet that knows what it has already said.
Content Agents is a fleet of multi-agent pipelines that research, write, illustrate, and publish directly to a live CMS on a cadence, with no human in the loop for routine runs. The hard part is not generating words. It is staying original across a long run: semantic deduplication so the fleet never re-publishes the same idea under a new title, and agent-to-agent fact-checking so quality control is part of the pipeline, not a final human gate.
This is the difference between a content engine and a spam cannon.
What it is
A content operation that runs unattended.
Each agent picks a topic from a managed queue, researches and generates an article in a defined editorial persona, sources hero and inline imagery, adds required disclosures, and publishes directly to a production CMS over its API. It runs on a schedule, no human in the loop for routine runs.
The fleet spans formats from one content backbone: long-form articles, social carousels, and short-form video pipelines. Each agent writes to a specific voice and brand design system, so output stays coherent across a long run.
Long-form articles
The editorial backbone of the fleet: researched, persona-written, illustrated, and published.
Social carousels
A sibling pipeline that turns the same content spine into multi-panel social formats.
Short-form video
A video-pipeline sibling, driven from the same managed queue and editorial persona.
Who it is for
Content marketing demands a steady, original output most teams can't sustain by hand. Hiring it out is expensive and slow; naive automation drifts off-brand and quietly re-publishes the same ideas under different titles.
Content Agents is for teams that need a publishing cadence they can trust to run on its own, and that care that what goes out stays original, on-brand, and on-topic. It runs horizontally across verticals; deployed instances span fields such as travel and health/nutrition publishing.
- Teams that need original output on a reliable cadence without a body of writers
- Publishers running multiple properties or languages from one editorial backbone
- Brands where off-brand drift or duplicate posts would quietly erode trust
- Operators who want imagery, disclosures, and publishing handled end to end
DEPLOYMENT PROFILE
How it works
From a linear pipeline to a collaborative agent mesh.
Architecturally the fleet ranges from a straightforward linear pipeline to a more advanced multi-agent mesh. The simple form runs research → generate → image → publish. The advanced form splits the work across specialised agents (source monitoring, analysis, generation, validation, publishing) that communicate agent-to-agent, cross-checking each other's work for factual quality before anything goes live.
Pick a topic from the managed queue and research it in a defined editorial persona.
Write to voice and brand, checking each piece against everything already published.
Source hero and inline imagery via a stock → AI-generation fallback ladder; add required disclosures.
Push live to a production CMS over its API on a cron-driven schedule. Containerized, unattended.
The clever part
Knowing which knob to turn, and what you've already said.
Semantic deduplication
Each piece is embedded and checked against the history of what's already been published, so the fleet doesn't churn out near-duplicate posts as the topic queue cycles. This is the line between a content engine and a spam cannon.
Agent-to-agent fact-checking
In the advanced configuration, agents talk to each other bidirectionally: a validation agent can push back on a generation agent. Quality control is part of the pipeline rather than a final human gate.
Direct, unattended CMS publishing
Posts go live programmatically into a production CMS via its API, with image sourcing and required disclosures handled automatically. No copy-paste step, no manual upload.
Persona and brand consistency
Each agent writes in a specific editorial voice and to a brand design system, so output is coherent across a long run. Tuned to the right signal, not drifting off-brand over time.
Stack & status
Live, running on a cadence.
Content Agents is in production and running on a cadence, both for the lab's own properties and in content-operations engagements built with clients across different verticals. We treat it as our own working practice first, then deploy it for teams who need the same discipline.
TECH
Sibling pipelines handle social carousels and video from the same content backbone.
NEXT
Put a content fleet to work. Without the spam.
Tell us the cadence, the voice, and the topics that matter. We'll stand up a fleet that researches, writes, illustrates, and publishes on its own, and knows which knob to turn to stay original and on-brand.