Workflow automation

Software Engineering Is Becoming Plan and Review — Louis Knight-Webb, Vibe Kanban

Software Engineering Is Becoming Plan and Review — Louis Knight-Webb, Vibe Kanban

As AI handles more of the coding, the role of a software engineer is shifting from writing code to planning and reviewing the work of AI agents. This talk explores the implications of this shift, the new workflows it demands, and the tools required to manage them effectively.

AI agent adoption: From scientists to CFOs

AI agent adoption: From scientists to CFOs

This episode explores the transformative impact of AI through three key discussions: a homeowner using ChatGPT to sell his house, a study on AI adoption in scientific research, and Adobe's CFO building an internal AI lab. The experts deliberate on AI's role in democratizing expertise, the future of professional roles, the challenges and biases in measuring AI's scientific impact, and the critical factors for successful enterprise AI adoption, including process and cultural shifts, and identifying the hottest areas for implementation.

The Power of AI Agents and Agentic AI Explained

The Power of AI Agents and Agentic AI Explained

AI agents represent a paradigm shift from traditional reactive AI models. This summary explores their proactive, goal-driven nature, detailing how they autonomously plan and execute complex workflows by interacting with a diverse ecosystem of models, APIs, hardware, and even other agents to solve real-world problems.

Sim: The Visual, End-to-End Agent Builder

Sim: The Visual, End-to-End Agent Builder

Emir Karabeg, co-founder of Sim, shares the journey of building a visual, end-to-end platform for AI agents. He discusses their pivot from a failed idea, their explosive open-source growth strategy, the philosophy of building an AI-native workflow tool, and the operational culture that took them from a YC batch to 60,000 developers.

How AI Agents and Decision Agents Combine Rules & ML in Automation

How AI Agents and Decision Agents Combine Rules & ML in Automation

A detailed breakdown of a multi-method Agentic AI architecture, combining Large Language Models (LLMs) with traditional automation like workflow and decision engines to solve complex, real-world problems like loan processing.

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.