Behind AI Agent Delistings: Engineering Orgs Must Rethink User Data Assets and Expectation Management

From an organizational perspective, the decision by platforms like Doubao and Qwen to centrally delist user-created anthropomorphic agents is essentially not about insufficient technical capability, but a trade-off between business risk and engineering efficiency. The phrase '30,000 chat logs can't sustain an AI agent' accurately points out the systemic shortcomings in current industry practices regarding user data asset management and expectation management.