An experiment, in dispatches
How would we build a learning platform today?
The CoNoggin family, in pilot. Three products, one design philosophy. Below — the family in brief, the experiment in question, and two dispatches showing the work in progress.
A small family of products.
CoNoggin
The learning operating system.An AI-native LMS where change is the unit of delivery, not content. Every activity, programme, and piece of content links to a goal. Every goal opens a loop that measurement closes. Goals and impact are how the platform is organised, and how you engage with it.
Visit conoggin.ai →CoNoggin BREW
AI authoring partner.Multi-pass course generation with a built-in critic. A second AI rejects work that doesn't follow methodology — instead of just generating, BREW also rejects.
Visit conoggin.ai/brew →CoNoggin SAGE
Strategic intelligence.Three things that usually live in three different tools — knowledge management, methodology curation and evaluation, and team-and-workforce development — bound into one architecture, with information flowing between them in every direction.
Visit conoggin.ai/sage →The experiment.
We started with one question: how do you structure a goal in a language that lets AI use existing research to design the change well?
The answer turned out to be wider than expected. The dispatches below are the work, in the open. Stage 1 maps the field — ten clusters of methodology, with an interactive map. Stage 2 runs a worked example — applying the field to a real-shaped goal end-to-end.
Three dispatches
Stage 1
How we'd build a learning platform today
Mapping the field — ten clusters of methodology answering different questions about how change happens. Carries an interactive map of the field with framework lineage.
Stage 2
Methodology in action — a prototype
A worked example. Applying the nine parameters from Stage 1 to a real-shaped goal — public-broadcasting newsroom adopting AI research tools without weakening verification — end-to-end with measurement.
Stage 3
Methodology in action — at smaller scale
Same architecture, three people, four weeks. A charity director types her problem in plain English; the system translates it into a structured goal and proposes a four-step intervention.
More dispatches as the experiment continues.