Why Agents Still Can’t Complete Orders
💡See where real-world agents break: permissions, payments, platform APIs, or user trust.
⚡ 30-Second TL;DR
What Changed
AI glasses, earbuds, and other terminals can perceive users but still depend heavily on phones for accounts, apps, payments, and system permissions.
Why It Matters
The discussion is relevant to teams building agents that must act beyond chat interfaces. It frames agent progress as an ecosystem and governance problem as much as a model-capability problem.
What To Do Next
Map one end-to-end agent workflow in your product and explicitly define permission gates, payment confirmation, retry logic, rollback, and human escalation.
Key Points
- •AI glasses, earbuds, and other terminals can perceive users but still depend heavily on phones for accounts, apps, payments, and system permissions.
- •Personal agents need reliable cross-application and cross-service execution, not just language understanding or task planning.
- •Service platforms such as Taobao Flash Sale control product inventory, transactions, and fulfillment, creating boundaries around API and capability access.
- •The event will discuss authorization, retries, rollback, user confirmation, and responsibility when agents take real-world actions.
- •Speakers from AI hardware, autonomous agents, multi-agent systems, and e-commerce will compare possible ecosystem architectures.
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Original source: 虎嗅 ↗
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