Episode 108 - How Do AI Agents Plan and Make Decisions? | AI Planning Explained

How does an AI agent decide what to do after receiving a goal? In Episode 108 of Anupam Tech Talk, we explore AI planning—how AI agents break down complex tasks, choose actions, evaluate results, and adapt when something goes wrong. In this video, you will learn: What AI planning means How agents break large goals into smaller tasks How they choose their next action The plan–act–observe–adapt cycle Planning ahead versus planning step by step How agents respond when plans fail Why guardrails, measurable outcomes, and human oversight matter The key takeaway: a good AI agent needs more than a convincing plan. It needs a reliable way to execute actions, evaluate results, and know when to stop. 💬 Question: Would you let an AI agent execute an entire task independently, or would you approve each major step? If you enjoyed this video, please like, share, and subscribe to Anupam Tech Talk for more practical insights into AI, software engineering, architecture, and emerging technology. 🎯 Anupam Tech Talk Building Engineering & Technology Leadership, One Lesson at a Time. #AI #AIPlanning #AIAgents #AgenticAI #GenerativeAI #ArtificialIntelligence #AIEngineering #AIForEngineers #LLM #SoftwareEngineering #ResponsibleAI #EmergingTechnology #AnupamTechTalk #Episode108 #students