Blog
Notes on memory,
prediction & honest AI.
Writing about the things we're actually working through — building organizational memory, measuring prediction accuracy against real outcomes, and shipping AI without the hype.
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No posts yet
We haven't published anything yet. When we do, expect honest, technical write-ups on the topics below — not marketing. Want to be notified? Request access and we'll keep you posted.
What we'll write about
Organizational memory
How a cross-source memory and relationship graph are built, and why most knowledge leaks.
Proving predictions
Grading predictions against real outcomes, calibration, and why accuracy should be measured, not asserted.
Signals that matter
The patterns no human watches continuously — churn, expansion, stalled deals, bottlenecks.
Honest AI engineering
Degrading gracefully, never faking capability, and keeping humans in control of consequential actions.