Upskilling a Data Team on AI Tools That Actually Stick
Why most AI training doesn’t change behavior—and a field-tested format that does. Includes prompt patterns, SQL review norms, and a 90‑day automation plan.
6 min read
AI agents
AI agents for data teams
Slack-native agents, internal AI platforms, evals, and the guardrails that make agents safe to point at production data.
Anomaly Detection for Data Pipelines Without Alert Fatigue
A practitioner’s guide to data anomaly detection that teams actually trust. Concrete methods, code, and routing to cut noise and catch real breaks.
9 min read
AI for Data Teams: Workflows That Actually Stick
Which AI workflows actually last past the pilot for a data team? A skeptical, side‑by‑side comparison with code, failure modes, and metrics.
7 min read
Internal AI Platform Architecture: Connect Agents to Your Stack
A practitioner’s guide to architecting an internal AI platform that safely connects Slack agents to GitHub, Jira, Linear, Notion, Snowflake, and more—with approvals, evals, and cost controls.
8 min read
Building a Slack AI Agent That Can Actually Query Your Warehouse
A practitioner’s guide to shipping a Slack AI agent that runs real warehouse queries—scoped, grounded on dbt, cost-safe, and evaluated for drift.
7 min read
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