Agentic AI: grading an agent, its 360 view, the forms that say what they need, and runs and incidents you can trust
New Evaluation graded by Criterion and Score out of 100 against the agent’s own runs; Evaluations of this agent and given by this agent on the 360 view, each card saying what it holds; Kind of work, Engine and Model; Switch on and off and Change autonomy; New Node by kind with the approver role; runs that read every record and name people only to those allowed; incidents numbered and said as their real cause; and ASK that knows the open form.
An agent is judged on what it actually did, and every screen now says what it is asking for. How to reuse: values in angle brackets are examples; put your own in their place.
Praktisch · 12 Minuten · 8 Schritte · 5 Fragen
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