Merchant Video
Prompt-to-video workflows for local-store, marketing, and ad creative production.
AI is not valuable because a model exists. It becomes valuable when it enters a real scenario and closes a commercial loop.
I am BonanLee, an AI commercialization operator with a technical background. I connect model capabilities, customer scenarios, product workflows, delivery systems, and growth outcomes.
01
AI Capability
Models, multimodal systems, agents, compute, and automation.
02
Real Scenario
Merchant growth, live commerce, creator workflows, enterprise usage, and founder productivity.
03
Workflow
Embed capability into repeatable customer work.
04
Delivery System
Product, sales, operations, delivery, and cost boundaries work together.
05
Commercial Outcome
Usage, conversion, revenue, retention, efficiency, or a new business line.
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.
Questions
Questions I keep returning to
These questions decide whether AI remains a demo or becomes part of customer workflow, delivery, and revenue.
- 01How does an AI product move from demo to revenue?
- 02Why would merchants keep using an AI content tool?
- 03What should human + AI collaboration actually mean in live commerce?
- 04Is the value of a multimodal API platform more models, or clearer scenarios?
- 05How can a private agent improve a founder's information flow, resources, and execution?
Content
Operating notes and anonymized cases
Notes and long cases will be published in my own voice. Resume material will not be inflated into fake essays.
Latest
Latest published
Only published entries appear here. Drafts and unfinished case essays stay out of the homepage.
Notes will be published in BonanLee's own voice. The content system and index are ready.
Principles
Operating judgment
These principles come from enterprise software, merchant growth, live commerce, creator tools, multimodal compute, and agent products.
- 01Technology is not the selling point. Business outcome is.
- 02The first question in AI commercialization is not the model. It is scenario selection.
- 03Deliverable beats demonstrable.
- 04Growth is not a traffic tactic. It is a system of content, product, channel, conversion, and retention.
- 05A good AI product should reduce customer operating complexity, not add another burden.
My earlier work spans IBM, JD, Fenxiang, and WakeData across enterprise software, transaction platforms, CRM/CDP/MA, large-customer delivery, and team management. More recently, as CEO of Yuanjie Matrix, I have incubated products across merchant growth, AI live commerce, creator tools, multimodal compute, payments, shared compute, and private agents.
- Technical background is judgment leverage, not a role boundary.
- The main thread is AI commercialization, 0 to 1 products, growth, delivery, and operating outcomes.
- Resume downloads stay on the about page. The homepage is not an online CV.