LORE · Learning, Operations and Readiness Engine

The course your manual would teach, if it could talk.

LORE reads a document, builds the course inside it, narrates every lesson, and keeps checking what each learner actually knows — correcting as it goes.

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The LORE app's home screen: a Continue where you left off card with a Play button, above the learner's courses with cover art, lesson count and progress

For learners

A course that fits in a pocket.

Lesson player: Narrated lessons with lock-screen controls, so a course plays like any other audio.
Read-along: The transcript follows the voice word by word; tap any word to hear it again.
Two voices or a podcast: Switch between Craig and Randi, or hear the lesson talked through by both.
Checks: Short questions after each lesson, tied to the source.
Corrections: A missed point brings a corrective lesson written for that point.
Progress: Where you are, what’s left, and a certificate at the end.

The LORE teacher console showing a card for each student who needs help, and where the class is losing it

For instructors

A console, not a content farm.

Who needs help: The students who need attention, and the reason for each, on one screen.
Course builder: Upload a document, review what LORE drafts, publish when it’s right.
Sections: Teachers see their own sections and nothing else.
Rosters: Import a class list and send invitations in one step.
Results: Who finished, what they missed, and where a course loses people.
Records: Completion certificates with a public verification link.

The adaptive loop

Every wrong answer is information about the course, not only about the learner.

When a learner misses a question, LORE does not just mark it wrong and move on. It plays a corrective lesson written for that exact point, then checks again.

Across a whole group, the misses add up to a map: which lessons land, which ones people have to hear twice, and where the source material itself is unclear. Instructors see that map, so the course improves along with the people taking it.

That is the difference between delivering training and knowing it worked.

The LORE teacher console tracing one student through lesson 1.2: listened, missed both first-try questions, then five course corrections — another look at the lesson, plain words, a worked example, a story, and step by step, which put it right — followed by reviews remembered on day 5 and day 8 — Student Three: five tries, then step by step clicked — and it stuck.

Illustration · a question ships only if its answer is on the page

Grounded in the source

If the answer isn’t on the page, the question doesn’t ship.

Every question LORE writes carries the exact passage of the document it came from. When the passage can’t be found word for word in the source, the question is discarded before an instructor ever sees it.

Then a person decides. LORE drafts; your instructors review, edit and publish. The manual stays the authority, and your staff stay accountable for what is taught.

Narration

Lessons that sound like someone explaining, not something reading.

Every lesson is narrated in AI voices built from two professional broadcast announcers. The voices were built from broadcast performance rather than read-aloud audiobooks, which is why a lesson sounds like someone explaining it. Narration runs on hardware we control, so a course can be re-cut the day the source changes.

Every format is rendered from the same approved script, so how a learner chooses to hear a lesson never changes what it teaches.

Hear both voices, and why we built our own engine →

A narrated lesson in the LORE app with the transcript highlighted word by word and a choice of Craig, Randi or Podcast

See your own manual as a course.

Send us the document you’d start with. We’ll tell you plainly whether LORE is a fit.

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