track promise
clear
format
4 modules
status
soon
sales style
honest
- 01Who it is for希望获得有用AI工作流但不想把业务钥匙交给模型的运营者。
- 02How it ships4个模块，包含工作流图、风险门和实现示例。
- 03What you get带着自动化审计、代理边界规范、人在回路设计和衡量计划离开。
- 04Where it leadsApply it yourself, or route into the studio when you want the system built with you.
Modules
Built from the studio record.
- 01机会审计
- 02人在回路设计
- 03工具边界
- 04衡量
Related build notes
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2026-06-18
What an AI-Native Studio Actually Builds
An AI-native studio is not a prompt shop. It builds the product surface, the operating system underneath it, and the measurement loop that keeps it honest.
2026-06-16
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A practical evaluation loop for AI features: define the promise, build a failure set, test the boring cases, and keep a human in the loop until the system earns trust.
2026-06-16
RAG Evaluation Without the Benchmark Theater
A grounded way to evaluate retrieval-augmented generation: source coverage, citation faithfulness, refusal behavior, and task-level usefulness.
Early access
Join before the paid track opens.
Get the lesson drops, course notes, and first-cohort announcement. This is the education funnel without fake countdowns or inflated promises.
加入自动化轨道
Course drops, build notes, and practical systems. No fake scarcity.
course to build
Learn it first, or route the build now.
This track is for 希望获得有用ai工作流但不想把业务钥匙交给模型的运营者。 If the timeline is too tight for DIY, use the diagnostic and route the work into the right studio offer.
// the honest version
- track
- Track 04
- format
- 4个模块，包含工作流图、风险门和实现示例。
- status
- open-soon