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Agent Sense

Agent Sense

著者: Monika Aggarwal AI Technical Practitioner and Frank Chavez Technical Architect
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“You are listening to Agent Sense.” “Where we keep AI simple, practical, and grounded.” I am Monika Aggarwal. I design agentic workflows grounded in clear rules, good data, and governance. I am joined by my colleague Frank Chavez. He is a Technical Architect and hands-on builder specializing in multi-agent orchestration, observability, and AI integration patterns. I bring the enterprise and operational view. Frank brings the engineering view. We keep it simple and honest. Let’s start.” Disclaimer: The views shared on this podcast are our own and do not represent IBM's viewpoint.Monika Aggarwal, AI Technical Practitioner and Frank Chavez, Technical Architect
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  • Rules, Agents, Humans - A Practical Model for Agentic Workflows
    2026/01/10

    This episode explores the line between deterministic business logic and autonomous agents in real business operations, using a Commercial and Investment Banking onboarding scenario to show where rules work, where agents help, and where humans must stay in control.


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    3 分
  • Brains and Guardrails: What Makes an AI Agent Enterprise-Ready?
    2025/12/16

    Enterprises often stop at building a clever prototype. But when that agent touches real systems, the question changes from Can it run? to Can we trust it?
    That is the gap between experimentation and production.

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    2 分
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