Episode 56 : Reasoning in Agentic AI: Open-Ended Thinking vs. Closed-Ended Execution

Episode 56 : Reasoning in Agentic AI: Open-Ended Thinking vs. Closed-Ended Execution

This episode will explore how Agentic AI systems “think” and “reason”—examining the difference between open-ended exploration (creative, generative, speculative) and closed-ended reasoning (focused, deterministic, goal-specific).

We’ll discuss:

  • When to use each type of reasoning in AI workflows.

  • The risks of open-ended thought (e.g., hallucination, inefficiency) vs. the limitations of closed-ended logic (lack of innovation, rigidity).

  • How to design agentic systems that balance both—using open-ended reasoning for ideation and exploration, and closed-ended reasoning for execution and precision.

  • The role of prompt design, planning agents, and model selection in shaping how “thought” happens inside AI systems.

The podcast will also touch on environmental impact—how sprawling open-ended reasoning can drive up compute unnecessarily if not constrained—and how to architect for leaner, purposeful thinking.

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Avsnitt(101)

Episode 99: Why Agentic AI Design Needs a Reset — From Repeated Reasoning to Executable Intelligence

Episode 99: Why Agentic AI Design Needs a Reset — From Repeated Reasoning to Executable Intelligence

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Episode 98: From Tokens to Outcomes to Value — Rethinking Agentic AI Economics

Episode 98: From Tokens to Outcomes to Value — Rethinking Agentic AI Economics

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Episode 97: The AI Data Center Problem — What Does Intelligence Take?

Episode 97: The AI Data Center Problem — What Does Intelligence Take?

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Episode 96: Why the Token Economy Has an Expiration Date

Episode 96: Why the Token Economy Has an Expiration Date

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Episode 95: Google Gemini Enterprise Agent Platform and Lean Agentic AI— Building Lean Agentic AI That Cuts Cost, Energy & Carbon

Episode 95: Google Gemini Enterprise Agent Platform and Lean Agentic AI— Building Lean Agentic AI That Cuts Cost, Energy & Carbon

Discover Google's latest Gemini Enterprise Agent Platform—and learn how to build AI agents that are efficient by design.In this episode, I explore Google's Gemini Enterprise Agent Platform, announced ...

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Episode 94: Agentic AI ROI — Why Most Organizations Aren't Seeing Business Value Yet

Episode 94: Agentic AI ROI — Why Most Organizations Aren't Seeing Business Value Yet

Organizations around the world are investing billions in Agentic AI. New foundation models are released almost every month, intelligent agents are becoming more capable, and the pace of innovation has...

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Episode 93: Physical AI — The Next Frontier for Agentic Systems

Episode 93: Physical AI — The Next Frontier for Agentic Systems

For decades, AI has lived behind screens—answering questions, generating content, and assisting human decision-making. But a new frontier is emerging.Physical AI is taking agentic intelligence beyond ...

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Episode 92: The Intelligence Dependency Problem — A Hidden Risk in Agentic AI

Episode 92: The Intelligence Dependency Problem — A Hidden Risk in Agentic AI

What happens when the intelligence your AI agents depend on suddenly changes?In the age of Agentic AI, organizations are increasingly building workflows around frontier models for reasoning, planning,...

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