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
Churn prediction model

What I Learned Building a Churn Prediction Engine from Scratch

A complete churn prediction engine with XGBoost, FastAPI, CLI, dashboard and open-source architecture for winning back at-risk customers. Applied machine learning to real business problems.

May 6, 2026 · 9 min · Cairo Cananea