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Johnny Mai

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Director, GenAI Product Strategy & GTM @ Qwen https://www.linkedin.com/in/johnnymai-global/

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Johnny Mai Posted blog

7 Lessons from Taking Enterprise AI from Pilot to Production

7 lessons that pay down pilot debt, each as challenge, approach and result

Johnny Mai Posted blog

How to Prioritize AI Use Cases Before 2027: Six Types and One 2x2

Rank the work, not the demo: type it, plot it, score it, then fund it. In this guide Six use case types that predict effort before anyone writes cod...

Johnny Mai Posted blog

AI Guardrails Checklist: 7 Controls Every Enterprise Deployment Needs on Day One

Guardrails are not distrust. They are what make a production launch signable. In this guide, we will discuss seven runtime guardrails, placed in the order a request meets them.

Johnny Mai Posted blog

Qwen-Image-2.1 Pro and Turbo APIs Are Live: One 7B Model to Generate, Edit and Cut Out

10,000 images on the Qwen-Image-2.1 Turbo API cost $160 at Singapore list price. That buys generation, editing and native transparency from one 7B model, live on Model Studio since Oct 9.

Johnny Mai Posted blog

Budgeting AI Video by the Second: A Campaign Planning Template

Producers and marketing leads planning AI video campaigns need a budget that survives the client call, yet Wan3.

Johnny Mai Posted blog

Wan3.0 vs. Wan3.0-Prime: Speed, Price, and Which One Your Workflow Needs

Every video team on Alibaba Cloud Model Studio now faces a model choice: run Wan3.0 on wan3.0-video, or pay more for wan3.

Johnny Mai Posted blog

How a Video Team Runs Wan3.0 in Production: Pipeline, Review Gates, Reliability

Every marketing ops lead moving Wan3.0 into a monthly delivery commitment faces the same question: how do you turn a model that can make the final cut...

Johnny Mai Posted blog

How to Prioritize AI Use Cases Before 2027: Six Types and One 2x2

Every strategy and PMO director writing the 2027 plan faces the same backlog: ideas from every function, all labeled AI, with no common unit.

Johnny Mai Posted blog

Prompt, RAG, or Fine-Tune? A Decision Guide Priced in Dollars

Every AI engineering lead with failing answers faces the same budget call: fix them with a better prompt, retrieval, or a fine-tuned Qwen model on Ali...

Johnny Mai Posted blog

Should This Workflow Be an Agent? A Three-Question Test Before You Build

Operations and product leaders are probably holding two kinds of agent requests: one to agentify a process that already works, one from a team drowning in exceptions.

Johnny Mai Posted blog

LLM Token Pricing 101: What a Token Costs and How to Forecast the Bill

Every FinOps lead and engineering manager running Qwen on Alibaba Cloud Model Studio faces the same budget question: what will each workload actually ...

Johnny Mai Posted blog

Model Routing Explained: Send Each Request to the Cheapest Model That Passes

Every platform team serving Qwen at volume faces the same choice: send every request to the flagship, or route each one to the cheapest model that pas...

Johnny Mai Posted blog

Open Weights vs. Managed API: Which Qwen Deployment Fits a Regulated Enterprise?

Every regulated enterprise running AI faces the same question: run Qwen open weights on infrastructure you control, or call Qwen through a managed API...

Johnny Mai Posted blog

Pricing Enterprise AI Products: Lessons from Real-World Production

You are not buying a model. You are buying a unit of work. Same work, $216 to $20,000. Why?

Johnny Mai Posted blog

From Prompt to Production Brief: Why Omni-Reference Matters

Wan3.0 accepts documents, links, images, video, and audio in one prompt. Here is why omni-reference changes how teams brief a model, and how to write production briefs that survive to the final cut.

Johnny Mai Posted blog

Wan3.0 at General Availability: Capabilities, Benchmarks, Pricing, and the Workflows It Changes

Wan3.0 at general availability: native up to 30 seconds, omni-reference across nine file types, editing carry-forward, and per-second pricing at $0.

Johnny Mai Posted blog

Wan2.7 vs. Wan3.0: What Actually Changed?

Wan2.7 vs. Wan3.0, row by row comparison

Johnny Mai Posted blog

Build vs. Buy, or Both? The Enterprise AI Decision

About 95% of enterprise AI pilots fail to deliver measurable P&L impact, and the cause is rarely talent.

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