Map

AI commercialization map

This is not a product list. It is the operating path I use when judging AI opportunities: capability, scenario, workflow, delivery system, and commercial outcome must all hold together.

AI Capability

Models, multimodal systems, agents, compute, and automation.

Real Scenario

Merchant growth, live commerce, creator workflows, enterprise usage, and founder productivity.

Workflow

Embed capability into repeatable customer work.

Delivery System

Product, sales, operations, delivery, and cost boundaries work together.

Commercial Outcome

Usage, conversion, revenue, retention, efficiency, or a new business line.

Merchant Video

Prompt-to-video workflows for local-store, marketing, and ad creative production.

AI Live Commerce

Platform connections, scripts, interaction, hardware, and human operators as one deliverable workflow.

Creator Workflow

Canvas and multi-model workflows for batch creation, reuse, and premium output.

Multimodal API Compute

Organize GPT, Claude, Gemini, Kling, Vidu, and other capabilities into callable infrastructure.

Payments and Shared Compute

Explore collection, compute supply and demand, task matching, and token settlement boundaries.

Founder Private Agent

A private assistant around schedule, information, network, resources, health, mindset, and blind spots.

Scenarios

Scenario is not decoration. It is the starting point.

Each direction can become a standalone case essay. Before the full text is ready, this page only keeps concise direction notes.