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AGENT OPERATIONS (AGENTOPS)
Part 8 of 10
ARTIFICIAL INTELLIGENCE ASSISTANT PROMPTS
Prompt 1: Finding AgentOps-specific gaps.
Use this to see what your existing operations practices do not yet cover.
[START OF PROMPT]
Review our current operational practices for this agent and identify which AgentOps-specific gaps exist beyond what standard DevOps/MLOps practices already cover (such as goal/plan tracking, tool-call chain observability, or agent-specific drift detection): [PASTE LAB OR PRODUCTION OPS SETUP/RUNBOOK HERE]. Output format: a gap table (Practice Area, Covered by DevOps/MLOps Already? Y/N, AgentOps-Specific Addition Needed).
[END OF PROMPT]
Prompt 2: Governance policy engine.
Use this to design company-wide rules enforced from outside the agents.
[START OF PROMPT]
Design a runtime governance policy engine enforcing at least five concrete policies (spending limits, data-access restrictions, required approvals, etc.) uniformly across these agents: [LIST AGENTS/SYSTEMS, e.g. Resume Review Agent and others]. Output format: a policy table (Policy, Enforcement Mechanism, Applies To, Override Process if any).
[END OF PROMPT]
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