Insights
A closer look at the AI industry
We don't chase trends. We document the methods and judgments actually validated through diagnosis, design, and delivery.
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Digital Employee Design
Why most "let's add AI" projects stall halfway
Over the past year we've diagnosed more than thirty "let's add AI" scenarios. Fewer than half actually launched and stayed in daily use. The problem is almost never model capability - it's that the workflow was never actually decomposed.
Latest articles
Talk with usCase Study
How one insurance assistant replaced a 3-shift support team in two weeks
The full record from diagnosis to launch.
2026-06-1811 min read
AI Coding & Agent Engineering
Agents are not chatbots: three common misreadings
Field notes on state, tool-calling, and failure recovery.
2026-06-186 min read
AI Consulting Method
The 12 questions worth asking at diagnosis
Answer these before writing the first prompt.
2026-06-189 min read
Tools & Workflow
How we manage multiple client projects with AI Coding OS
Context-switching is the biggest hidden cost.
2026-06-187 min read
Digital Employee Design
Seven role profiles for a digital employee
From support to finance — each role needs a different design logic.
2026-06-1810 min read
Case Study
Three things we learned three months after launching the IELTS assistant
Real usage data turned out more interesting than expected.
2026-06-188 min read
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