
GuidesJun 24, 2026
Getting Your Data AI-Ready, Without the Big Project
You do not need a data warehouse to start. A short, honest cleanup of the records you already use is usually enough.
Practical thinking, not theory.
Short, useful writing on data readiness, automation, and the decisions founders face when building better operating systems.

You do not need a data warehouse to start. A short, honest cleanup of the records you already use is usually enough.

A practical decision frame for founders weighing off-the-shelf tools against a system built around how the team actually works.

Most teams re-enter the same information three times a day. Here is how to find those handoffs and remove them.
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