Author: malm

  • Seeking Solis

    Visualising residential solar generation

    July 2026

    After a couple of quiet years for climate tech, energy is back in the headlines driven by the Persian Gulf security-of-supply shock and surging AI/data centre demand. This post reflects on two and a half years running a home solar and battery setup, the Solis API access that let me build my own dashboard and AI assistant on top of it, and what the resulting data reveals about the seasonal overbuild challenge facing residential renewables.

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  • 75 Years of the Turing Test

    Reflections on Artificial Intelligence from the Royal Society

    Oct 2025

    A write up of an event celebrating the 75th Anniversary of the Turing Test, noting that while modern AI can often appear human in conversation, the test’s focus on imitation may be outdated. An impressive array of speakers and panellists called for new frameworks to better assess understanding and intelligence in today’s AI systems.

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  • How Data Unlocks AI Success

    Why Data Mastery Drives Consumer AI Success by Mal Minhas

    July 2025

    Many organisations face “data chaos”: siloed, duplicated, stale and ungoverned assets, plus batch-only pipelines that starve AI models of timely context. The remedy requires foundations, not another tool. With trustworthy, well-modelled and accessible data, AI moves from proofs of concept to durable, measurable business outcomes.

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  • Team Tapestry

    How to Tame Your OKRs, Metrics and Roadmap by Mal Minhas

    June 2025

    Tech teams can struggle to construct and align OKRs, metrics, and roadmaps if they don’t have much prior context. This post outlines some of the common challenges and introduces an app called Team Tapestry specifically designed to support teams to build a unified vision while undertaking quarterly planning.

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  • Experiments in AI Coding

    Fatal Exception: Developer Does Not Exist by Mal Minhas

    April 2025

    AI code generation tools are profoundly reshaping how software is built. This post reflects on my hands-on experiences with tools like Lovable, Cursor, and ChatGPT, compares design-led and engineering-led approaches, and introduces a combined workflow that combines these tools to deliver high quality working applications fast.

    Read on Substack

    NotebookLM podcast of this post: