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Where data meets intuition

The AI Data Analyst Playbook

A free guide to rolling out an AI data analyst people trust. Five stages, clear owners, and the two chapters everyone skips: maintenance and cost.

Rick RadewagenRead

Dot-Maxxing

Best practices for getting more out of Dot, your AI data analyst: ask for finished dashboards, decks, reports and alerts, then teach it so the work compounds.

Anand AniRead

More Articles

Give the Intern a Budget

Cheap intelligence keeps getting cheaper while the frontier gets pricier. Which questions deserve which level is a governance choice, not a bill.

Rick RadewagenRead

The Same Customer, Spelled Four Ways

Entity resolution used to be the analyst's silent chore. AI analysts surface it on day one, and embeddings finally make it tractable.

Rick RadewagenRead

Your Data Model Is the Prompt

Teams spend weeks engineering prompts for AI analytics and minutes naming columns. The agent reads your schema far more often than your instructions.

Rick RadewagenRead

Dot vs. Claude Code for Data Analysis

Claude Code can query your database. So can Dot. The difference is who else on your team will use it - and whether you can trust the answers.

Rick RadewagenRead