Blog

Mostly post-mortems. When something takes me far longer than it should have, the reason is usually more interesting than the fix, and writing it down is how I make sure I actually learned it.

  1. 18 August 2026/2 min read

    Sales are not a time series until you make them one

    Mana's market tools could already tell you what something is worth right now. Teaching it to forecast meant turning a scatter of irregular sale events into something a model could actually read.

    • mana
    • forecasting
    • data-engineering
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  2. 18 August 2026/2 min read

    The dtype that was not there

    I burned hours fixing hyperparameters that were never the problem, because the actual bug was a dtype the training config never controlled in the first place.

    • debugging
    • pytorch
    • veritarach
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  3. 18 August 2026/2 min read

    The README that promised more than it shipped

    Fixing one broken install link in db-artisan's README turned up a second, bigger problem. The docs described five skills. Only one of them actually exists.

    • db-artisan
    • documentation
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  4. 18 August 2026/2 min read

    The touch targets an audit could not see

    An automated mobile audit found fourteen controls too small to tap. It also missed three more, because an audit can only see the state it happens to load in.

    • euphonia
    • accessibility
    • mobile
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  5. 17 August 2026/2 min read

    The forecast gate I almost got wrong

    I guessed a rule for when Hecate's forecasts were trustworthy enough to show. The guess was wrong. Testing it against real data gave me a better one, and testing didn't stop once the feature shipped.

    • forecasting
    • hecate
    • data-engineering
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  6. 15 August 2026/2 min read

    The checkpoint that was quietly guessing

    The deployed classifier looked fine until I loaded the checkpoint directly and asked it about the first line of Pride and Prejudice. It barely had an opinion.

    • debugging
    • pytorch
    • veritarach
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