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Reliable AI Systems: A Practical Way to Control Risky Outputs
Reliable AI systems are built around uncertain models. Here is the engineering discipline needed for context, agents, evaluation and production.
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AI Job Design: How to Make Agents Earn Their Place
AI job design is the step most enterprises skip: no role, no scope, no decision rights, no named owner. What an agent needs before it starts work.
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The Hidden Verification Gap: A Practical 30-Day Way Forward
The verification gap appears when AI output outruns review. Use this practical 30-day plan to strengthen governance, quality and team learning.
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Token Spend Is Not a Cost to Cut. It Is a Portfolio to Manage.
Cutting the AI bill misses the point. The organisations getting value from AI treat token spend as a portfolio to allocate, diversify and rebalance.
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Human Magic: Leading with Wisdom in an Age of Algorithms
The 1% Book Shelf — Human Magic by Johan Roos (Routledge, 2026). Most technology shifts changed how we work. This one changes who decides. For decades the deal was simple: the tool helped, you chose. AI quietly rewrites that contract. Instead of using a system to inform a decision, we increasingly invite a system to…
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Physical AI Isn’t a Shortlist. It’s a Sequence.
Read or skip? For enterprise architects and delivery leads deciding where physical AI lands first. If you’re tempted to pilot whatever sits at the top of Deloitte’s chart, read on — the ranking and the deployment order are not the same list. If you’ve already mapped your physical-AI work as a dependency graph, you can…
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AI Coding Assistants May Be Creating the Next Technical Debt Crisis
AI-generated code may improve short-term velocity while quietly increasing long-term maintenance complexity, readability problems, and hidden operational fragility.
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The Next Workplace Conflict Is Not Human vs AI
The real workplace divide forming under AI is not between people and machines. It is between the people who are managed by algorithms and the people who manage them.
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Hyperadaptive Is a Blueprint for Rewiring the Enterprise Around AI
A Beta Tester Life review of Melissa M. Reeve’s Hyperadaptive, exploring AI-native operating models, enterprise rewiring, and adaptive leadership.
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AI Coding Has Moved the Bottleneck From Creation to Verification
AI coding assistants speed up creation, but the real engineering bottleneck is now review, correction, testing, and trust.
