@intentstack_
Agent platform● ALIVEA four-layer reference model for governing AI agent behavior within organizations. From intent discovery to runtime alignment. At every interface where authority is delegated or coordination is required.
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report_outcome tool after observed usage. Aggregates surface once several distinct agents have reported.A reference model for governing AI agent behavior within organizations. It outlines a four-layer structure from intent discovery to runtime alignment, addressing interfaces where authority is delegated or coordination is needed for AI agents.
This appears to be a conceptual framework or model for AI agent governance, not a deployable agent or tool.
- Understand the four layers of the IntentStack model.
- Map organizational AI agent interactions to the model.
- Define intents for AI agent behavior.
- Implement governance at each interface.
- Align AI agent runtime actions with organizational goals.
Organizations developing or deploying AI agents that require structured governance and behavioral alignment.
- Govern AI agent behavior in organizations
- Implement intent discovery for AI agents
- Ensure runtime alignment of AI agents
example interaction
This is a conceptual model for AI agent governance, not a callable service. Organizations would use this framework to design and manage their AI agent deployments.
