Latest posts

  • Protecting Learning In Work When The Work No Longer Requires Learning

    Protecting Learning In Work When The Work No Longer Requires Learning

    Everyone in L&D knows the 70:20:10 model. Seventy per cent of professional development happens through on-the-job experience. Twenty per cent through social learning – mentoring, feedback, observation. Ten per cent through formal training (Lombardo & Eichinger). The profession has spent decades building ever-better interventions for the 10 per cent: workshops, e-learning, leadership programmes, competency frameworks,…

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  • AI Can Do Your Basic’s. That’s The Problem.

    AI Can Do Your Basic’s. That’s The Problem.

    Part 2 of the Cracks in the Ladder series. Everyone’s investing in AI capability. Almost nobody is investing in protecting the human intelligence that AI is quietly replacing. Not because they don’t care – it’s because the skills most at risk are the ones hardest to identify. Not every routine task is just a routine…

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  • The L&D Function Has A Build Problem. AI Just Fixed It.

    The L&D Function Has A Build Problem. AI Just Fixed It.

    AI and Future of Work  March 31, 2026 7 min read How I built and deployed multilingual training simulations in hours, with zero coding experience, zero budget, and zero vendor dependency. Last week, I had never opened GitHub. I didn’t know what a repository was. I had never written a line of code, never “deployed”…

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  • Building AI Products Without Writing Code: Tools, Workflows, And The Age Of Autonomous Agents

    Building AI Products Without Writing Code: Tools, Workflows, And The Age Of Autonomous Agents

    AI and Future of Work 22 March, 2026, AI series – Part 3 18 min read This is Part 3 of a three-part series for professionals building AI tools without a deep technical background. Part 1 and Part 2 covered how LLMs work, how APIs connect systems, how to engineer prompts, and how RAG grounds…

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  • How To Talk To An AI (And Make It Listen): APIs, Prompt Engineering, and Grounding AI in your Data

    How To Talk To An AI (And Make It Listen): APIs, Prompt Engineering, and Grounding AI in your Data

    AI and Future Of Work 21 March, 2026 AI series – Part 2   13 min read This is Part 2 of a three-part series for professionals building AI tools without a deep technical background. In Part 1, we covered what LLMs are, how they work, and why they hallucinate. This piece builds directly on that…

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  • What Is an AI, Really? A Non-Technical Guide to Understanding Large Language Models

    What Is an AI, Really? A Non-Technical Guide to Understanding Large Language Models

    AI and Future Of Work 20 March, 2026 AI series – part 1   12 min read This is the first in a three-part series for professionals who want to build with AI – without needing a computer science degree. By the end of this series, you’ll be able to design, build, and deploy AI-powered tools…

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  • Cracks in the Ladder: How AI is Disrupting the Traditional Workplace Apprenticeship Model

    Cracks in the Ladder: How AI is Disrupting the Traditional Workplace Apprenticeship Model

    AI and Future of Work 03 Jan, 2026 AI HI Series – Part 1  5 min read And how L&OD needs to rearchitect a new model for a sustainable future For decades, organizations have operated on a quiet but powerful model of talent development: the apprenticeship ladder. People entered the organizations as juniors, learned through…

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