The five layers of agentic AI design
Prompt, context, harness, loop and graph engineering. A practical framework for diagnosing where agentic AI systems actually failWhy this matters to youEvery leader who has…
Read →The GenAI Divide
Billions invested. Ninety-five percent returning nothing. A landmark MIT study reveals why enterprise AI keeps stalling, and makes the case that the culprit is not…
Read →The AI sugar hit - why the developer exodus matters more than the layoffs
The market cheers. Engineers leave. And the industry may be quietly eating itself.The question had been circulating in developer conversations for weeks before ABC journalist…
Read →Stop letting AI conversations stall at efficiency
Sit in on almost any executive meeting today and you will hear two familiar questions: Where can we cut costs? and Where can we move…
Read →Your AI doesn’t have a thinking problem it has a structure problem
Everyone’s obsessed with the power of large language models, but most AI systems aren’t failing because the models are weak. They’re failing because the data…
Read →Designing AI systems that perform and keep performing
A Keido perspective on building adaptive, human-aligned schedulers and optimisation engines.In every industry, the pressure to optimise is accelerating. Whether it’s a mining operation coordinating…
Read →Why critical thinking will be your edge in the future of work
With AI accelerating output at scale, it’s not what you produce that sets you apart it’s how you think.When we lean in to reality, we…
Read →Global AI benchmarks: where we stand and what leaders need to do next
Two global reports reveal how nations and organisations are progressing with AI and what leaders can do to move from awareness to action.Recently I have…
Read →Rethinking relevance - is Google Analytics losing its grip on decision-making?
Lately, I’ve been poring over Google Analytics data across several websites and a pattern jumped out. Traffic is down. Engagement is slipping. Fewer users are…
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