Opinion & advice
Clear thinking for complicated technology.
Direct perspectives on AI, software, leadership and the decisions that still need a human point of view.
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The complete collection.
18:03Refactor or Rewrite?
Six questions to answer before replacing a working system — and how to recognise the business knowledge old code still contains.
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19:31Does Your Business Really Need a CTO?
How to identify the technology leadership a business needs now — whether that is a full-time CTO, part-time help or a strong engineering manager.
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1:14Tech Consultant: What I Do
A concise introduction to how practical technology advice can help businesses make better decisions.
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13:22Before You Buy or Build AI Software, Watch This
Seven tests to apply before an AI system becomes part of an important business process.
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17:29Why AI Pilots Fail After the Demo
What to test before production: outcomes, quality, workflows, ownership, risk and human review.
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15:46The 4 Decisions You Should Never Delegate to AI
Use AI to widen the options and improve the evidence—never to outsource purpose, trade-offs or accountability.
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13:46AI Hype or Reality? Looking at the Statistics
Recent adoption data reveals where AI delivers real business value—and where expectations still run ahead of reality.
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7:20The Human Skill That AI Makes More Important
Why discernment, judgment and a clear point of view become more valuable as AI increases the volume of everything.
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11:18What Is a Fractional CTO and When Should You Hire One?
When outside technology leadership can turn scattered systems, spending and AI ideas into a coherent business plan.
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6:22AI Is Making Human Skills More Valuable
A hopeful case for why empathy, judgment and understanding people remain powerful advantages in an AI-rich economy.
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6:37Most Businesses Are Using AI Completely Wrong
Why telling staff to “use ChatGPT” is not an AI strategy—and what thoughtful implementation actually requires.
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6:36The Dangerous Mistake Tech Companies Are Making With AI
Replacing experienced engineers too quickly can trade short-term speed for architectural risk, lost context and weaker accountability.
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8:50Small Businesses Are About to Gain Superpowers
How practical AI agents can give small teams leverage across marketing, reporting and repetitive operational work.
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5:41The Biggest Myth in AI Right Now
AI is changing work, but experience and wisdom matter more than the fear-driven story that machines simply replace people.
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7:59The Myth of the Best Tech Stack
The right stack is not the trendiest one; it is the one your team can maintain while delivering value to real users.
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12:06Why Software Projects Fail Before They Even Start
Most failures begin before code: weak validation, skipped discovery, misunderstood scope and no plan for maintenance or marketing.
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7:24What AI Actually Changes About Software Engineering
AI removes implementation friction, but engineering still depends on architecture, trade-offs, context and understanding human needs.
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4:26Why the AI Model Benchmarks Are Wrong
A concise challenge to the leaderboard metrics AI companies use to claim one model is smarter than another.
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