agenticlearning.solutions§ Agentic LXD · Product 01

Product 01 on the Learneta platform

Agentic LXD

Agentic LXD is product one on the Learneta platform. It is focused solely on the LXD process, the design and build of learning experiences, with the online-programme operating model as its archetypal home and enterprise equally in scope. It takes an expert's intent and approved content through to built learning in seconds.

Built in public under the working name Learneta.AI; shipping under Agentic LXD.

Two working engines

From a briefing to a validated design. From a storyboard to a built module.

Engine 01 · Design

The nine-agent design engine

Takes a subject-matter expert's briefing and produces a validated learning design and assessment plan. Nine agents, each holding one part of the design discipline, checking each other's work before anything reaches you.

In  SME briefing · intent · constraints
Out  validated design · assessment plan
Engine 02 · Build

The non-generative builder

Takes a signed-off storyboard and renders it into an interactive module. The source text is preserved verbatim; the AI decides component choice, sequence, interactivity, and pacing, and every section carries a verification state.

In  signed-off storyboard
Out  interactive module · verification per section

The principle

The AI never writes content. It makes pedagogical decisions about how to render content.

Most AI authoring tools treat the source as something to be rewritten. That puts the model in the wrong job. The pedagogical job, deciding how to render approved content into components a learner can use, is the one the model is good at. The writing job, deciding what words to use, is the one your SME, your legal reviewer, and your counterparty have already done.

In regulated and enterprise learning, content is signed off once. Every paraphrase restarts the review cycle. Agentic LXD makes the pedagogical decisions, leaves the words alone, and lets you ship the module that was already approved.

Every other AI authoring tool
Step 1Take signed-off storyboard from the SME.
Step 2Generate an "improved" version, paraphrased for "engagement".
Step 3Submit the paraphrased version for review.
Step 4Legal asks why the contractual wording changed.
Step 5SME asks why their explanation was reworded.
Step 6Review cycle restarts. Approvals expire. Schedule slips.
Agentic LXD
Step 1Take signed-off storyboard from the SME.
Step 2Render into pedagogical components. Source text preserved verbatim.
Step 3AI decides component type, sequence, interactivity, pacing.
Step 4Every section traced to source spans. Coverage surfaced inline.
Step 5SME reviews the rendering, not the words.
Step 6Module ships. The signed-off content stays signed-off.

The verification mechanic

Every section carries one of three states, computed from the source.

VERIFIED

Verified

Every span in the rendered section traces to the source storyboard. Coverage is 100%. No paraphrase, no addition.

DRAWN

Drawn

Most of the section traces to source spans. A bounded set of fields (titles, prompts, button labels) are drawn from approved patterns and flagged for SME review.

DRIFT

Drift

A span has appeared that does not trace to the source. Flagged immediately. The SME must approve, replace, or remove it before the module can ship.

The state is computed from the source, not asserted by the model.

The component library

Eight pedagogically distinct components. The choice is the pedagogical decision.

§ 01

TextBlock

Source narrative, rendered for readability.

Use when passages must be preserved exactly.
§ 02

KeyPointCallout

Pull the line worth surfacing out of the source.

Use when the source carries a takeaway worth surfacing alone.
§ 03

AccordionReveal

Drill-down for hierarchical content.

Use when detail is optional and pacing matters.
§ 04

SortableCards

Active recall through sequencing.

Use when order or grouping is the learning objective.
§ 05

ScenarioBranch

Decision under constraint, with consequence.

Use when applying judgement to a case, not recalling a fact.
§ 06

KnowledgeCheck

Formative check, source-aligned.

Use when confirming the learner has held the source.
§ 07

ComparisonTable

Set things next to each other.

Use when the difference is the point.
§ 08

ReflectionPrompt

Open question, no graded response.

Use when closing a module or surfacing prior experience.
Components as MCP tools. Consumable by humans and agents. Verified the same way.

Status

Two working prototypes, in active build.

Agentic LXD is in R&D, not on general release. The architecture and the thinking are published as the build goes on; the writing is the best window into both. If the problem it solves is your problem, say hello.