The journal

Lessons from practice and reflections on product, technology and organisation.

Featured

From idea to production: how we build with AI

6 min read

Inside the building of The Playground: how agent context, product decisions, checks and lessons from use connect an initial idea to a product in production.

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6 min read

Agentic workflows: from answers to getting work done

How to delegate a business process to AI agents: tools, permissions, human approval and outcome tracking, illustrated through a customer change request.

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4 min read

With AI, where do we learn to exercise judgement?

When agents produce and review work, how do people learn? Ways to preserve understanding, discussion and opportunities to develop judgement within teams.

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4 min read

AI makes building easier. Finding a market is still the barrier.

Lessons from The Playground: why easier development with AI still leaves distribution, adoption, switching costs and product-market fit to work through.

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4 min read

Organising AI agents’ work without piling on tools

Build an agentic software factory around your product: useful context, clear permissions, complementary checks and responsibilities, without needless complexity.

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4 min read

From demo to everyday use: what still needs checking

User journeys, permissions, data and operations: the checks that help a product built with AI move from a successful demo into reliable everyday use.

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4 min read

Understanding what you build when you no longer write the code

Architecture, rules and checks: how to stay in control of a product when AI agents write the code, drawing on a practical example from The Playground.

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4 min read

AI training at work: start with what teams need to be able to do

Design AI training around the work teams actually do: role-specific skills, realistic exercises, evaluating results and applying what people learn over time.

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4 min read

Experimenting with AI: what decision do you need to make?

How to scope an AI experiment around a decision: choose representative cases, assess quality and cost, and define the evidence needed to decide what comes next.

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4 min read

Your teams use AI. What changes in your organisation?

AI changes what teams can do. Explore how responsibilities, decisions and the product lifecycle can evolve by looking at the work people actually do.

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