Demand-first commerce
Begir and Radar begin from explicit or local buyer need rather than assuming a complete, perfectly current catalog. They show how intent can become a first-class signal while remaining distinct from fulfilment or purchase.
Mazzaneh Phase 1 provides an executed, team-built product context for several mechanisms discussed in the framework. It is evidence of product and market learning—not proof that the later Phase 2 architecture or Zoyan already existed as a finished integrated system.
This section keeps the argument narrow: mechanisms are separated from phase, maturity, evidence type and independent validation.
Begir and Radar begin from explicit or local buyer need rather than assuming a complete, perfectly current catalog. They show how intent can become a first-class signal while remaining distinct from fulfilment or purchase.
Pulino links explicit context, eligibility, trust rules, defined participation events and wallet states. The canonical Phase 1 interpretation is not “payment for arbitrary data”; value attaches to defined and qualified interactions.
Board turns a campaign into a bounded interaction: audience relevance, product explanation, questions, participation value and a distinct analytics signal. A completion is stronger than an impression and narrower than expertise or conversion.
Phase 1 business surfaces included presence, demand response, relationship-building, assisted selling and analytics. Exact availability varied by product version, location and operating period.
Analytics preserves the difference between declared context, demand, attention, response and outcome. The useful layer is the learning loop, not a claim that every event reveals the person.
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.