Foundation models
Deep general model capability; user/context layers vary by provider and product.
The useful question is not whether MZN “owns a new category,” but how this architecture differs from adjacent categories. The map is an orientation tool for evaluating combinations of context, consent, commerce, business intelligence and human-facing interfaces.
This section keeps the argument narrow: mechanisms are separated from phase, maturity, evidence type and independent validation.
Deep general model capability; user/context layers vary by provider and product.
Strong domain-specific workflows; usually narrower cross-domain context.
Rich behavioral data and audience systems; incentives and consent structures differ from qualified value-exchange models.
Strong transaction and supply-demand data; often weaker outside commerce and user-controlled cross-domain context.
Strong aggregation and orchestration; dependent on source provenance, identity resolution and permissions.
The distinctive hypothesis is the combination of executed commerce mechanisms, qualified context, two-sided business intelligence, technical AI assets and an optional human-facing convergence layer.
Phase 1 provides team-built product and market context. Phase 2 contains the bounded solo AI-native formation work. Phase 3 is where independent technical, legal/IP, compliance, pilot and commercial review decides what survives professional diligence.