    "@id": "https://afcp.ai/#organization",
    "name": "AFCP AI"
  },
  "url": "https://afcp.ai/our-thesis/",
  "isPartOf": {
    "@type": "WebSite",
    "url": "https://afcp.ai"
  },
  "about": [
    { "@type": "Thing", "name": "Efficient AI", "description": "AI that is like electricity — scalable, affordable and reliable — consuming fewer chips, compute and energy than LLM-first approaches." },
    { "@type": "Thing", "name": "Experiential AI", "description": "A new AI paradigm focused on building human-first, collaborative and self-learning agents. Contrasted with Generative AI, Experiential AI agents learn continuously from real-world experience and human intervention." },
    { "@type": "Thing", "name": "Agentic Commerce", "description": "The next evolution of ecommerce where AI shopper agents handle product discovery, personalisation, checkout and retail operations autonomously on behalf of consumers and businesses." },
    { "@type": "Thing", "name": "Agentic Internet", "description": "A reimagined internet where consumers and businesses interact directly with agents via voice, text or video, built on the existing Web1/Web2/Web3 backbone with an agentic layer on top." }
  ],
  "keywords": [
    "Efficient AI",
    "Experiential AI",
    "Agentic Commerce",
    "Agentic Internet",
    "shopper agent",
    "LLM-first paradigm",
    "agent-first approach",
    "hybrid AI architecture",
    "compute efficiency",
    "self-learning agents",
    "AFCP AI thesis",
    "DC vs AC AI analogy",
    "artificial shopper mind",
    "ecommerce AI agents"
  ],
  "speakable": {
    "@type": "SpeakableSpecification",
    "cssSelector": [".thesis-title", ".thesis-tagline", ".pull-quote p", ".section-heading"]
  }
},
