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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

Google 💚 MCP. Contribute to google/mcp development by creating an account on GitHub.

16. Dezember 2025

GenAI Updates

GitHub – google/mcp: Google 💚 MCP

Meet Google’s MCP repo — a practical way to try Model Context Protocol If you’ve…

Contribute to google/A2UI development by creating an account on GitHub.

16. Dezember 2025

GenAI Updates

GitHub – google/A2UI

A friendly intro to Google’s A2UI (and why you should try it) I stumbled on…

The video discusses the evolution of web development, moving from traditional frameworks to an era of "vibe coding" influenced by large language models. It explores how developers collaborate with AI to shape software rather than relying solely on syntax. The talk delves into the implications for the future of coding, particularly in frontend development.

15. Dezember 2025

GenAI Updates

From Vibe Coding To Vibe Engineering

From Vibe Coding To Vibe Engineering I watched Kitze’s talk and felt a little like…

This explainer video delves into the mechanics of large language models (LLMs) that exhibit thinking and reasoning capabilities. It addresses what "thinking" means in this context and how to enhance these models' reasoning abilities. Key topics include scaling laws, test-time compute, and reinforcement learning from verifiable rewards.

15. Dezember 2025

GenAI Updates

How LLMs Learn to Think and Reason

How LLMs Learn to Think and Reason I watched a short explainer recently and I…

Learn about AG-UI, the User Interaction protocol, and A2UI, a generative UI specification. Discover how they work together to enable powerful agent-user interactions.

15. Dezember 2025

GenAI Updates

AG-UI and A2UI: Understanding the Differences | CopilotKit

If you’ve ever scratched your head over AG-UI versus A2UI, you’re not alone. They sound…

This video captures a debate between AI pioneer Yann LeCun and Google DeepMind's Adam Brown, moderated by Janna Levin. They discuss whether Large Language Models truly understand or merely process information. The conversation explores the fundamental nature of AI cognition and its astonishing progress.

15. Dezember 2025

GenAI Updates

LLMs Understanding: AI Pioneer Yann LeCun Spars with DeepMind’s Adam Brown

Bold question first: do Large Language Models really *understand*, or are they very good at…

Convert text into spoken audio, adding natural sounds like laughter or coughs. Upload or record reference audio to match the speaker's voice.

15. Dezember 2025

GenAI Updates

Chatterbox Turbo Demo – a Hugging Face Space by ResembleAI

Chatterbox Turbo Demo is one of those tools that makes you stop and listen, literally.…

An Automatic Prompt Optimization Framework for Large Language Models - SalesforceAIResearch/promptomatix

14. Dezember 2025

GenAI Updates

GitHub – SalesforceAIResearch/promptomatix: An Automatic Prompt Optimization Framework for Large Language Models

We read every piece of feedback, and take your input very seriously. If you’ve been…

Learn how code execution with the Model Context Protocol enables agents to handle more tools while using fewer tokens, reducing context overhead by up to 98.7%.

13. Dezember 2025

GenAI Updates

Code execution with MCP: building more efficient AI agents

Code execution with MCP: build faster, cheaper AI agents If you work with agents, you’ve…

13. Dezember 2025

GenAI Updates

Use Cases | Claude

Want practical ways to get more done, faster, without losing your voice? You're in the…