Content that drives itself.
AutomationFreeq runs a living neural engine — Cortex — that finds the topics, writes and cites the articles, ships them live, and learns from every result. Autonomously, at scale, while you sleep.
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- Articles autonomously published
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- Sites live on the network
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- Signal domains online
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- Decisions made / day
The route
Every article drives the same road.
Follow one from first signal to a live page — five checkpoints, no human hands on the wheel.
MM 01 · Sense
Six signals pick the destination.
Backlog demand, knowledge coverage, source drift, rank anomalies, audience decay, competitor gaps — when independent domains corroborate on the same subject, a trip begins.
MM 02 · Compute
The rules engine does the math.
Every figure a reader will see is computed deterministically or cited from the knowledge graph — never improvised. Neural advises; deterministic decides.
MM 03 · Write
Prose is built around the numbers.
The model art-directs voice, structure, and story around server-computed values, with every citation pinned to its source.
MM 04 · Gates
Every article stops at the gates.
Dignity. No manipulation. Safety. Plain language. Facts checked against the computed record. Fail-closed — a blocked article never ships.
MM 05 · Ship + Learn
Signed, delivered, and studied.
A cryptographically signed delivery lands it on your WordPress site, and every outcome — rank, clicks, decay — feeds the next decision.
Live on your site — already learning.
The car parks. The engine keeps driving — every outcome from every page feeds the next trip.
Inside the engine
Six signal domains, sensing your network in real time.
Cortex runs six independent intelligence domains. When two corroborate on the same subject, the orchestrator acts — create, update, or retire — on its own.
Surfaces queued topics with no coverage yet and turns search demand into create signals.
Confirms we hold the authoritative facts to cover a topic well — a living per-niche knowledge graph.
Watches the source data behind each article and flags it for update when the facts move on.
Detects search-rank and traffic anomalies, refreshing articles that start to slip.
Reads audience analytics and autonomously retires content that has gone quiet.
Maps competitor coverage to find gaps to create and changes to match.
FAQ
Questions, answered.
Who writes the words?
A frontier language model art-directs the prose — voice, structure, story. It is never trusted with arithmetic: every figure a reader sees was computed by the rules engine or cited from the knowledge graph before writing began.
Can it ship something wrong?
Every draft stops at fail-closed gates — dignity, no manipulation, safety, plain language, and a fact check against the computed record. If any gate blocks, nothing goes out. There is no override that skips a gate.
What happens when the facts change?
Source-watch signals track the data behind every article. When a source moves on, the article is queued for refresh — and content that has gone quiet is retired. The road doesn't end at the destination; the engine keeps driving.
How does it get smarter?
Every outcome — rank, clicks, decay — flows back into the models that pick topics and shape titles. Each trip trains the next one.
Become a partner
Put a neural engine to work on your network.
Apply to run AutomationFreeq across your sites — we handle topics, writing, publishing, and learning.