Ai agents

AI Agents + LLM Reasoning: Transforming Autonomous Workflows

AI Agents + LLM Reasoning: Transforming Autonomous Workflows

Explore the distinction between LLMs and AI agents, focusing on how agents leverage reasoning, tool calling, and the ReAct prompting framework for autonomous decision-making and task execution in complex business workflows.

No Priors Ep. 137 | With Warp Co-Founder & CEO Zach Lloyd

No Priors Ep. 137 | With Warp Co-Founder & CEO Zach Lloyd

Warp CEO Zach Lloyd discusses the evolution of the developer terminal into an agentic platform, the shift from manual coding to a future of automated development, and the philosophical questions surrounding AI intelligence versus consciousness.

RIP Windows 10, automated code repair and battling the payroll pirates

RIP Windows 10, automated code repair and battling the payroll pirates

Experts discuss the security implications of Windows 10's end-of-life, the transformative but cautious integration of AI into Security Operations Centers (SOCs), the promise and peril of AI-driven automated code repair, and the ongoing battle against social engineering attacks like payroll fraud.

Overcoming Agentic Memory Management Challenges

Overcoming Agentic Memory Management Challenges

Biswaroop Bhattacharjee from Prem AI discusses Cortex, a novel AI memory system inspired by human cognition. The conversation explores moving beyond traditional flat memory structures to hierarchical, context-aware systems that enable more sophisticated and less noisy retrieval for AI agents.

A2A:The Agent-to-Agent Protocol

A2A:The Agent-to-Agent Protocol

Heiko Hotz and Sokratis Kartakis of Google Cloud introduce the Agent-to-Agent (A2A) protocol, a new open standard for enabling stateful, secure, and asynchronous collaboration between AI agents built on different frameworks. They contrast it with tool-use protocols like MCP and discuss its microservices-like architectural benefits.

Orchestrating Complex AI Workflows with AI Agents & LLMs

Orchestrating Complex AI Workflows with AI Agents & LLMs

Eric Pritchett, President and COO of Terzo, explains the transformative impact of AI agents and LLMs on workflow orchestration. He contrasts the goal-oriented, flexible nature of AI agents with the limitations of traditional RPA, illustrating how a multi-agent system can automate complex processes like quote generation, marking a paradigm shift in automation capabilities.