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Recent Blog Posts
Agentic AI, Harness Engineering and Organisational Architecture
AI models continue to advance faster than enterprise deployment is able to evolve. Several recent reports say the same thing: model capability is not the real bottleneck — the surrounding architecture is what determines whether an agent can be trusted to run...
Open Models, Technology Diffusion & the Shift from Renting to Owning AI
The launch of the Chinese AI model Kimi K3 challenges the winner-take-all strategy of the frontier model providers OpenAI and Anthropic, but it also has wider implications for enterprises currently building out their AI stacks. Kimi 3 is a 2.8T parameter Mixture of...
The Token Apocalypse & Agentic Ecosystem Design
The path towards reliable agentic AI infrastructure in the enterprise continues to offer up new surprises, and the recent panic around token costs is a case in point that has focused minds on the cost-benefit analysis of different models. But perhaps model choice is...
Context, Codification & Cognitive Capabilities
Context & Codification are still hard problems A lot of enterprise AI investment has gone into models and prompt quality. But there is a growing body of evidence that points to the main constraints on reliability, cost, and organisational capability still being...
Don’t Outsource Agentic Capability Design
For the past couple of weeks, I have been interviewing senior function heads and operational leaders in a large hi-tech firm as part of an AI literacy programme. What struck me most was not their enthusiasm for AI, but the degree to which they already know what they...
Agents are Easy; the Agentic Enterprise is Not
Agentic AI is showing great promise in coding and personal productivity, but the shift from personal to organisational agent usage in the enterprise is harder and more complicated than it looks. It also heralds a profound shift in what we consider to be ‘work’ and...