What I think about - data, AI, business, cybersec, open source and more.
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Why the fuck is nobody letting the database act? TigerData gives agents Postgres. GibsonAI killed its “AI backend engineer” and rebranded to MemoriLabs : memory for other people’s agents. Useful? Yes. Agentic? No. OpenAI defines agents as systems that “independently accomplish tasks on your behalf.” Everything the database companies sell inverts that sentence. The database is not the system…
You’ve used embedded analytics today and can’t name who built it. That’s not an accident. It’s the sales pitch.
Boy, is there a lot of shit floating around “agentic analytics.” Nobody woke up asking for it. It is the phrase you get when every BI platform, dashboard vendor, copilot, semantic-layer company, and embedded analytics product needs to sound inevitable in 2026. But buried inside the repackaging is the thing data software kept promising and never delivered: action. What it is not: a chatbot for your…
The data team buys your dashboards, and is the immune system killing anything that makes dashboards optional. BI's only escape is three trades nobody wants to sign.
What research studies actually say: task gains die at three gates before they reach the P&L. Here's the test for yours.
What the fastest AI companies do differently (and why it looks wrong).
7 SaaS PM reflexes that shrink AI products—and why data people already think differently.
If specificity is zero, value is zero. Onboard the AI tool, or ditch it if you can’t.
Decision infrastructure. How to get there.
A 5-question scorecard for dashboards, decks, and charts—and the three harder formats that turn “understood” into “decided.”
