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How a course gets made

A brief in. A finished, verified course out.

No template to fill in, no storyboard to write, no studio to book. You describe the course and hand over your sources. The pipeline does the rest, and it will not publish anything it cannot stand behind. Here is the whole thing, in the open.

The pipeline

Six stages, and the two that make it trustworthy.

Every course moves through the same disciplined sequence. It is not a chatbot writing on demand. It is a pipeline, and it has a gate. It runs itself below, or hover any stage to open it.

Research01
Stage 01

Research

Machine

Reads the documents you provide and researches the subject widely, so the course is complete, not a thin summary. It maps the territory before it writes a word.

Ground02
Stage 02

Ground

Machine

Every claim is tied to a primary source you can open, the actual policy, standard or regulation, at the exact page or clause. The stage most AI tools skip, and the reason theirs cannot be defended.

Author03
Stage 03

Author

Machine

Writes the lessons in a clear teaching voice, designs the assessment, and prepares the interactive tools, all keyed to the grounded claims from the stage before.

Validate04
Stage 04 · the gate

Validate

Deterministic check

A non-AI citation check confirms every cited provision resolves to real text in a stored copy of the source, and a factual review checks the claims against it. A fabricated citation, or a claim the source contradicts, cannot pass.

Fail-closed · runs every time
Produce05
Stage 05

Produce

Machine

The validated course is rendered into every format, presenter-led video, audio, interactive tools and slides, styled to your brand. One source of truth, many media.

Publish06
Stage 06 · human sign-off

Publish

Human gate

A named reviewer approves the module, and it goes live in your academy under your brand, with progress tracking and completion records. Nothing publishes without that approval.

A named person is accountable
Stage 04
is the product

Anyone can generate content. The difference is whether it can be caught being wrong before it ships. The validation gate is deterministic and fail-closed: your team can build unsupervised and still cannot publish something untrue. Everything else is production. This is the assurance.

The division of labour

You make three decisions. The machine does the production.

The point is not that a machine writes your training. The point is that you stay in control of what matters, and hand off the weeks of production that used to sit between a decision and a finished course.

You decide

Three things, and only three

What the course covers (a one-page brief), which sources are authoritative (your policies, standards, regulations), and whether the result ships (you approve, or send it back). Everything a person is actually needed for.

The machine does

Everything in between

Reads and researches, grounds every claim in your sources, writes the lessons, designs the assessment, generates the video, audio, tools and slides, brands them, and runs the validation, then waits for your approval. It never publishes on its own.

One course, every format

Produced once, delivered in every medium your learners expect.

The same validated content becomes each format automatically, so a fix to the source is a fix everywhere, not five separate re-recordings.

Video
Presenter-led, branded, captioned
Audio
Narrated for on-the-go learning
Tools
Interactive checks and job aids
Slides
Facilitator decks and handouts
Assessment
Scored quiz, keyed to sources

Every format traces back to the same grounded claims. Update a source, and the course renews across all of them. Provenance is not a document you file. It travels with the content. How provenance works →

See it run

Watch a course move through the pipeline, on your own material.

A short walkthrough on your documents: the brief, the stages, the gate refusing a bad claim, and a finished module published under your brand.