Epistemic Status: Budding

  • How to Pray by Pete Greig: Notes

    Reading Pete Greig on prayer, and realising that when I pray for time with my dad and Ken, what I’m really asking for is conversations, walks, ordinary moments. Presence, not…

  • How to Hear God by Pete Greig: Notes

    Notes from Pete Greig’s book on hearing God. Practical and honest. The question isn’t whether God speaks — it’s whether we’re paying attention.

  • Behind the Garden: Meet the Team

    I record a thought on the school run… and by the time I get home, it’s already been turned into something usable. The journal entry’s there, the ideas have been…

  • If Machines Can Think… What Does It Mean to Be Human?

    If a machine can reason, create, and learn, what’s left that’s distinctively us? A look at three ways of thinking about what it means to be made in God’s image,…

  • Letter to Isaac: Work Hard… Do Your Best

    A letter to my son about what hard work actually means. Not grinding for its own sake… but showing up fully in the things that matter, including the ones that…

  • The Enforced Brake – Covid Part 5

    The hardest weeks of lockdown brought something I didn’t expect: a strange rational calm. Not my usual response to difficulty. Something had shifted, and I was still figuring out what.

  • The Blackest Good Friday – Covid Part 2

    Week three of lockdown. Good Friday, April 2020. Written in real time, which is the only reason I’d share it. Some things are only honest when they’re written in the…

  • An Observer No Longer – Covid Part 1

    March 2020. For the first time in my life, I wasn’t watching from a distance. Isaac came home from school on a Thursday and didn’t go back for months.

  • AlgoArt — Yasmin: Weaving Threads of Code

    Yasmin is a generative art experiment in making threads weave over and under each other. The technical challenge turned out to be the interesting bit: how do you get code…

  • AlgoArt — Zara: On Process Over Outcome

    Zara didn’t look the way I hoped it would. That turned out to be the point. A reflection on what you learn from algorithmic art that doesn’t come out impressive.