Uploaded February 2026 | Updated September 2026, 1 week ago
Modern AI agents go far beyond simple prompt‑response behavior.
This video breaks down the core reasoning and planning techniques that power autonomous agents in today’s LLM‑based systems.
Covered in this explainer:
🔹Self‑Ask for structured intermediate reasoning
🔹Reason and Act (ReAct) for interleaving reasoning with tool use
🔹Plan and Solve for task decomposition and error reduction
🔹Reflection / Self‑Critique for feedback‑driven improvement
These patterns form the foundation of many popular agent frameworks and are critical for building reliable, adaptive AI systems.
Ideal for engineers, ML practitioners, and anyone designing or evaluating autonomous AI agents.
🔗 Learn more about building AI agents with Azure Cosmos DB:
👉 learn.microsoft.com/azure/cosmos-db/ai-agents
Modern AI agents go far beyond simple prompt‑response behavior.
This video breaks down the core reasoning and planning techniques that power autonomous agents in today’s LLM‑based systems.
Covered in this explainer:
🔹Self‑Ask for structured intermediate reasoning
🔹Reason and Act (ReAct) for interleaving reasoning with tool use
🔹Plan and Solve for task decomposition and error reduction
🔹Reflection / Self‑Critique for feedback‑driven improvement
These patterns form the foundation of many popular agent frameworks and are critical for building reliable, adaptive AI systems.
Ideal for engineers, ML practitioners, and anyone designing or evaluating autonomous AI agents.
🔗 Learn more about building AI agents with Azure Cosmos DB:
👉 learn.microsoft.com/azure/cosmos-db/ai-agents
