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Notes from the field

Thinking out loud.

Short reads on AI-native transformation, software architecture, and turning ideas into ways of working.

Hands working around a shared table, arranging reusable pieces into a common workflow
AI Transformation2 min read

Making AI a shared working practice

Using AI and working well with AI require different capabilities. A useful starting point is one real task that a team can examine together.

A conceptual illustration of measurement data passing through an AI lens into a document for review
Product & Architecture2 min read

From showing data to helping with the next task

An AI-native product starts with the user's work. The workflow, the data and the review process are designed together.

A branching workflow model diverts an irregular item to a separate inspection loop
AI & Workflows2 min read

Designing AI automation around its exceptions

A workflow connecting email, spreadsheets, and a CRM also needs to be judged by what happens when information is missing or contradictory.

An experimental prototype on a test bench with a measuring tool and successive physical samples
Engineering2 min read

What should the first AI sprint teach us?

Discovery should make the conditions for a useful solution visible. A working example should give the team enough evidence to make its next decision.