Build vs Buy AI Agents: A Practical Decision Framework
A practitioner’s guide to build vs buy AI agents. Compare options, see a decision matrix by workflow risk, and get concrete “pick X if” recommendations.
Slack-native agents, internal AI platforms, evals, and the guardrails that make agents safe to point at production data.
A practitioner’s guide to build vs buy AI agents. Compare options, see a decision matrix by workflow risk, and get concrete “pick X if” recommendations.
A practitioner’s guide to making Cortex Analyst reliable: semantic model design, verified queries, ambiguity handling, evaluation and rollout, and cost controls.
How to build a verifiable BI Slack bot: metrics grounding, identity and RLS, clarifying questions, SQL citations, guardrails, formatting, feedback, and a pilot scope.
Turn governance into runtime controls that hold under load. Identity, scopes, approvals, audit, evals, and CI/CD gates—shipped by teams who run this in prod.
A practitioner’s framework to evaluate agents that touch production: build real-workflow evals, score execution, safety, latency, and cost, and monitor in prod.
Your Cortex bill spiked or you’re about to roll it out. Here’s the fastest diagnostic and a practical cost model—tokens, serverless services, and warehouse compute—plus guardrails.
A practitioner’s guide to shipping enterprise text-to-SQL that answers correctly in production—semantic grounding, approved joins, metrics, permissions, cost controls, and a concrete evaluation plan.
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.
A practitioner’s guide to data anomaly detection that teams actually trust. Concrete methods, code, and routing to cut noise and catch real breaks.
Which AI workflows actually last past the pilot for a data team? A skeptical, side‑by‑side comparison with code, failure modes, and metrics.
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.
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.
We maintain a small client roster on purpose. If we're the wrong fit, we'll say so — and usually we know somebody who isn't.