How to Build a Family Agent Team That Actually Helps
A practical guide to building a family AI agent team with clear roles, persistent memory, specialist review, and human approval for consequential decisions.
Read the post →How Shan Jing Built an AI Trading Desk That Argues Before It Acts
Shan Jing built an AI trading desk where agents must disagree before the group can make a decision. Then one of them told a beautiful story about its own work — and the timestamps proved it wrong.
Read the post →Introducing The Multi-Actor Coordination Protocol
Agents as first-class participants: how Puffo treats humans and AI as peers in one end-to-end encrypted conversation fabric — and why chat is the right substrate for it.
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