track promise
clear
format
4 modules
status
soon
sales style
honest
- 01Who it is forモデルにビジネスの鍵を渡さずに有用なAIワークフローを望むオペレーター。
- 02How it ships4モジュール、ワークフローマップ、リスクゲート、実装例。
- 03What you get自動化監査、エージェント境界仕様、ヒューマンインザループ設計、測定計画を持ち帰る。
- 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機会監査
- 02ヒューマンインザループ設計
- 03ツールの境界
- 04測定
Related build notes
All posts ->2026-06-18
The AI Implementation Audit Before You Build
Before you build an AI agent, copilot, RAG system, or workflow automation, audit the workflow, data, risk, cost, and measurement loop.
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
How to Evaluate AI Features Before You Ship Them
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.
自動化トラックに参加
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 モデルにビジネスの鍵を渡さずに有用なaiワークフローを望むオペレーター。 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モジュール、ワークフローマップ、リスクゲート、実装例。
- status
- open-soon