Seven minutes by design
Every module fits a strict envelope: one objective, an active learner moment at least every ninety seconds, and a hard stop. The format is specified, measured, and enforced at review gates, not eyeballed.
Trusted, traceable learning
Microlearning you can audit.
One behaviour per module. Seven minutes by design. Every claim traceable to a verified source, and every module carrying its own assurance status. Built for organisations where "trust us" is not good enough.
- 7 minutes by design
- Source-traceable claims
- Assurance graded
What you see is the surface
Any platform can produce a slick e-learning. What makes a module trustworthy is the framework underneath: where each claim comes from, who reviewed it, and how it stays current.
Why seven minutes?
Not because attention is short, but because focus is precious. A module teaches exactly one decision routine, practises it, and stops.
Traceable to the source
Each claim in a module links back to a registered, validated source. No orphan facts, no "common knowledge". If a source expires or changes, the module is flagged for regeneration.
Assurance you can read
Modules carry a visible assurance grade backed by gate records: who reviewed what, when, and against which standard. The grade is computed from evidence, never self-declared.
Whitepapers
The thinking behind the system, in three papers. Free to download, no registration required.
7MM-001 · Whitepaper
Trusted Traceable Learning
Why organisational learning has a trust problem, and how source registries, claim extraction, and assurance grades solve it.
Download PDF7MM-002 · Method paper
Seven Minutes By Design
The format itself: the seven-minute envelope, the active-learner cadence, and the evidence base for designing modules this way.
Download PDF7MM-003 · System paper
The Living Knowledge Engine
How modules stay alive after publication: source revalidation, scheduled reviews, and regeneration instead of decay.
Download PDFExplore a complete journey
The first module does not stand alone. It is one governed output inside the AI-Safe Municipality journey. See the module, then look underneath it at the sources, claims, reviews and assurance records that make it trustworthy.
KB-AIDATA-001 · Journey: AI-Safe Municipality · Dutch
AI-veilig werken met persoonsgegevens
A decision routine for municipal staff: three checks before using an AI tool with personal data. Three scenario decisions, one retrieval moment, one if-then plan. Approximately seven minutes.
Status: concept G6.2, internal proof. Not published guidance and not client-configured; placeholders are intentionally unfilled.
The assurance grade
The trust signal behind every output. A grade is computed from five trust pillars and backed by gate records; it degrades automatically when sources expire or reviews lapse.
AVerified
BReviewed
CLimited
DExpired
