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Notes on data, decisions and honest AI

Short pieces on the ideas behind FactSmith. Low cadence on purpose: quality over volume.

Latest

Umzimkhulu River Bridge repair: what the record shows: an evidence-led look at the R102 bridge repair, source by source: what was promised, what the public record shows, and what it cannot see.

The dashboard showed the leak. Claude built the call list.: a hire business’s R1.2M billing leak, what the fixed dashboard shows, and what Claude does next on the same data.

Your widget data is not that interesting: why AI agents are rarely the data risk owners fear, and what to lock down instead.

I gave Claude Dashboards a 17-question exam: golden questions with known answers, three models, and the one that lost three call-outs.

Where data becomes fact: the difference between a fast answer and a trustworthy one.

Permissions belong below the AI: why letting the model decide access is the wrong architecture.

Who it is for

Sector leave-behinds: Distributors, Retail, Manufacturing, Franchise.

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