Phase 4 — Personalized AI Agents and the Agentic Web
Download PDF- Long-term personalized memory based on user approval, with provenance and confidence management
- Per-agent data scopes, session keys, spending limits and expiring permissions
- Recommend–Prepare–Execute stages and human-in-the-loop controls for high-risk actions
- Pilot MCP- and A2A-based interoperability, agent-to-service payments and auditable activity logs
- Research registries and evaluation frameworks for agent quality, safety reputation and validation
Completion criteria: User approvals, permission scopes and execution outcomes are auditable end to end, and both the usefulness and safety of personalization are validated in real agent tasks.