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This video provides a beginner-friendly, step-by-step guide to setting up Claude Skills for more consistent and higher-value AI output. It covers enabling skills, creating new ones using Claude’s "create a skill together" flow, and differentiating them from Projects. The tutorial also demonstrates building a conversion-focused copywriting review skill for an agency workflow and iterating on skills for continuous improvement.

Claude Skills: Build Your Own AI Employees

This video delves into the concept of sycophancy in AI models from the perspective of AI researchers. It explains the conditions under which AI models are more prone to exhibiting sycophantic behavior. Furthermore, it outlines practical strategies to guide AI models towards truthfulness and away from unwarranted agreement.

What is sycophancy in AI models?

The guide to engineering reliable, context-aware AI systems.

The Context Engineering Guide (weaviate.io)

This tutorial demonstrates how to build and deploy LangChain Deep Agents from local prototypes to production-ready cloud infrastructure using Runloop. It covers customizing agent environments, local testing, deployment with GitHub Actions, and agentic state persistence.

Building Enterprise AI Agents: LangChain Deep Agents + Runloop Tutorial

This playlist captures sessions from AI Dev Days, a two-day virtual event by Microsoft Developer and GitHub. It explores the latest Azure and GitHub innovations, focusing on modernizing legacy applications, building with AI agents, and leveraging new AI models.

AI Dev Days: Azure & GitHub AI Innovations

The era of AI evangelism is giving way to evaluation. Stanford faculty see a coming year defined by rigor, transparency, and a long-overdue focus on actual utility over speculative promise.

Stanford AI Experts Predict What Will Happen in 2026 | Stanford HAI

Firecrawl /agent is a magic API that searches, navigates, and gathers data from even the most complex websites. Describe what data you want and agent handles the rest. Accomplishes in minutes what takes humans hours.

Agent – Gather Data Wherever It Lives on the Web | Firecrawl

A simple, open format for giving agents new capabilities and expertise.

Overview – Agent Skills

This video provides a beginner-friendly, step-by-step guide to setting up Claude Skills for more consistent and higher-value AI output. It covers enabling skills, creating new ones using Claude’s "create a skill together" flow, and differentiating them from Projects. The tutorial also demonstrates building a conversion-focused copywriting review skill for an agency workflow and iterating on skills for continuous improvement.

Claude Skills: Build Your Own AI Employees

This video delves into the concept of sycophancy in AI models from the perspective of AI researchers. It explains the conditions under which AI models are more prone to exhibiting sycophantic behavior. Furthermore, it outlines practical strategies to guide AI models towards truthfulness and away from unwarranted agreement.

What is sycophancy in AI models?

The guide to engineering reliable, context-aware AI systems.

The Context Engineering Guide (weaviate.io)

This tutorial demonstrates how to build and deploy LangChain Deep Agents from local prototypes to production-ready cloud infrastructure using Runloop. It covers customizing agent environments, local testing, deployment with GitHub Actions, and agentic state persistence.

Building Enterprise AI Agents: LangChain Deep Agents + Runloop Tutorial

This playlist captures sessions from AI Dev Days, a two-day virtual event by Microsoft Developer and GitHub. It explores the latest Azure and GitHub innovations, focusing on modernizing legacy applications, building with AI agents, and leveraging new AI models.

AI Dev Days: Azure & GitHub AI Innovations

The era of AI evangelism is giving way to evaluation. Stanford faculty see a coming year defined by rigor, transparency, and a long-overdue focus on actual utility over speculative promise.

Stanford AI Experts Predict What Will Happen in 2026 | Stanford HAI

Firecrawl /agent is a magic API that searches, navigates, and gathers data from even the most complex websites. Describe what data you want and agent handles the rest. Accomplishes in minutes what takes humans hours.

Agent – Gather Data Wherever It Lives on the Web | Firecrawl

A simple, open format for giving agents new capabilities and expertise.

Overview – Agent Skills

This video provides a beginner-friendly, step-by-step guide to setting up Claude Skills for more consistent and higher-value AI output. It covers enabling skills, creating new ones using Claude’s "create a skill together" flow, and differentiating them from Projects. The tutorial also demonstrates building a conversion-focused copywriting review skill for an agency workflow and iterating on skills for continuous improvement.

29. Dezember 2025

GenAI Updates

Claude Skills: Build Your Own AI Employees

Claude Skills: Build Your Own AI Employees If you’ve ever wished your AI would behave…

This video delves into the concept of sycophancy in AI models from the perspective of AI researchers. It explains the conditions under which AI models are more prone to exhibiting sycophantic behavior. Furthermore, it outlines practical strategies to guide AI models towards truthfulness and away from unwarranted agreement.

28. Dezember 2025

GenAI Updates Published

What is sycophancy in AI models?

What is sycophancy in AI models? If you’ve chatted with a modern AI, you’ve probably…

The guide to engineering reliable, context-aware AI systems.

28. Dezember 2025

GenAI Updates Published

The Context Engineering Guide (weaviate.io)

When you first play with a Large Language Model, it feels like magic. Then the…

This tutorial demonstrates how to build and deploy LangChain Deep Agents from local prototypes to production-ready cloud infrastructure using Runloop. It covers customizing agent environments, local testing, deployment with GitHub Actions, and agentic state persistence.

20. Dezember 2025

GenAI Updates Published

Building Enterprise AI Agents: LangChain Deep Agents + Runloop Tutorial

Building Enterprise AI Agents: From Prototype to Production If you’re curious about taking a LangChain…

This playlist captures sessions from AI Dev Days, a two-day virtual event by Microsoft Developer and GitHub. It explores the latest Azure and GitHub innovations, focusing on modernizing legacy applications, building with AI agents, and leveraging new AI models.

20. Dezember 2025

GenAI Updates

AI Dev Days: Azure & GitHub AI Innovations

AI Dev Days: Azure & GitHub AI Innovations If you’ve ever wished for a fast,…

The era of AI evangelism is giving way to evaluation. Stanford faculty see a coming year defined by rigor, transparency, and a long-overdue focus on actual utility over speculative promise.

19. Dezember 2025

GenAI Updates Published

Stanford AI Experts Predict What Will Happen in 2026 | Stanford HAI

What to expect from AI in 2026: Stanford experts say, less hype, more proof If…

Firecrawl /agent is a magic API that searches, navigates, and gathers data from even the most complex websites. Describe what data you want and agent handles the rest. Accomplishes in minutes what takes humans hours.

19. Dezember 2025

GenAI Updates

Agent – Gather Data Wherever It Lives on the Web | Firecrawl

Meet Agent, the API that goes and gets the web for you You ever spend…

A simple, open format for giving agents new capabilities and expertise.

19. Dezember 2025

GenAI Updates

Overview – Agent Skills

Agent Skills — a friendly intro If you’ve ever wished your software assistant could learn…

Discover how to build your first AI agent workforce with Google's open-source Agent Development Kit (ADK). This guide introduces three hands-on labs covering autonomous agents, empowering agents with tools, and orchestrating multi-agent systems using ADK and Gemini.

18. Dezember 2025

GenAI Updates

Build Your First ADK Agent Workforce | Google Cloud Blog

Build your first AI agent workforce, without the scary setup AI agents are not sci-fi…

Turn proof-of-concept agent demos into production-ready systems using observability, evaluation, and deployment tools from Nvidia's NeMo Agent Toolkit.

18. Dezember 2025

GenAI Updates

Nvidia’s NeMo Agent Toolkit: Making Agents Reliable

Nvidia’s NeMo Agent Toolkit: Making Agents Reliable If you’re opening this course for the first…