AI Agents

🦸🏻#13: Action! How AI Agents Execute Tasks with UI and API Tools

we explore UI-driven versus API-driven interactions, demystify function calling in LLMs, and compare leading open-source frameworks powering autonomous AI actions

🦸🏻#12: How Do Agents Learn from Their Own Mistakes? The Role of Reflection in AI

we explore how reflection enables AI to self-correct without always needing external feedback, making systems more reliable and autonomous

🦸🏻#11: How Do Agents Plan and Reason?

we explore recent breakthroughs in reasoning (DeepSeek!) as well as main planning techniques that enable precision and adaptability

🦸🏻#10: Does Present-Day GenAI Actually Reason?

we discuss what 'reasoning' actually means and the modes of thinking that we should work on to get closer to AGI

🦸🏻#9: Does AI Remember? The Role of Memory in Agentic Workflows

we explore SOAR’s legacy, memory types, generative workflows, memory mode in LLM, and AI influence on memory itself

🦸🏻#8: Rewriting the Rules of Knowledge: How Modern Agents Learn to Adapt

Exploring the shift from static rules to dynamic reasoning in modern AI agents

🦸🏻#7: From Agentic AI to Physical AI

How Jensen Huang worked backwards to start creating the future for the world + trends in AI and Robotics to keep an eye on

🦸🏻#6: The Role of Profiling in Agentic Workflows

Exploring How Profiling Shapes Character, Awareness and Decision-Making

🦸🏻#5: Building Blocks of Agentic Systems

What powers an AI agent?

🦸🏻#4: From Butler to J.A.R.V.I.S to Butler Again?

History of Jarvis and and a deep dive into recent π0 model from Physical Intelligence

🦸🏻#3: Illustrating Agentic Vocabulary: Real and Potential Examples

plus a deep dive into agentic workflows

🦸🏻#2: Your Go-To Vocabulary to Navigate the World of AI Agents and Workflows