Data Readiness Assessment

Build Your First AI Agent from Scratch - Part 1: Environment Setup and Safety Rails

Stand up a battle-ready development workspace for agent work: Python, virtual environments, dependency pinning, observability hooks, and policy-ready configuration.

RAG Is Not a Strategy: When AI Agents Should Search, Remember, or Ask

Too many teams reach for retrieval before they understand the real problem. This practitioner-focused guide explains when an AI agent should search, when it should rely on memory, and when it should stop and ask a clarifying question instead.

The Small-Model, Large-Verifier Pattern for AI Agents

A practical architecture pattern for using smaller models to act and stronger models to verify, keeping agent quality high without paying premium cost on every step.