Bloom-for-Learning

Bloom-for-Learning: Agency-First Multi-Agent Coaching & External Interoperability

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.

July 16, 2026 · 11 min · Cairo Cananea
Making the loop act without losing control in AI agents

Making the loop act without losing control

Second article in the series on building Bloom in a week: how to give an agent real freedom to act in the world — writing real events into Google Calendar via MCP — without giving up control over when and how it acts.

July 13, 2026 · 12 min · Cairo Cananea