Context Engineering

Most coaching apps prescribe rigid schedules and punish missed sessions. Bloom-for-Learning adapts Stanford’s Motivational Interviewing coaching model into a multi-agent LLM system with a ReAct calendar tool loop, MCP calendar sync, and local-first memory — co-creating study plans instead of dictating them.

First article in a series on building Bloom-for-Learning in one week: why the most important decision in any agentic system is deliberately defining what belongs to deterministic code and what belongs to the model’s judgment.