Why most AI agent frameworks break in production (and what I’m doing differently)

Most AI agent frameworks fail in production due to lack of persistent session state, multi-tenant support, PII handling, and human escalation paths. The author built Glaivio, a convention-over-configuration framework for AI agents that uses Postgres-backed conversation history, privacy middleware for automatic PII redaction, native escalation triggers, and a self-improving corrections mechanism. The framework aims to make predictable production behavior the default rather than requiring custom integration work.