🚨ChatGPT launches group chats globally, marking OpenAI's strategic pivot from pure conversational interface to collaborative workspace platform. The move signals OpenAI's intent to compete directly with Slack, Teams, and Notion in the productivity layer.

Generic AI is dead. Specialized AI is taking over.

Claude just launched Skills — a feature that lets you dynamically load folders full of prompts, scripts, API connections, and task-specific instructions into your AI. Instead of one general-purpose assistant, you now have multiple specialists you can swap between.

Think of it like hiring different contractors for different jobs. You don't want the same person doing your taxes, fixing your plumbing, and designing your website. You want specialists.

Claude Skills works the same way. You create a folder for each domain — content generation, project setup, data management — and load it when you need that specific expertise.

Content generation skill: One creator has Claude scrape Twitter, Instagram, and TikTok for trending content in his niche, then format scripts in his voice. All the prompts, API connections, and voice guidelines live in one skill folder.

Second brain skill: Another user has Claude interface with Notion, Obsidian, and Google Drive. The skill includes custom SOPs for managing file structures, transferring data between services, and cataloging new notes. Claude knows exactly how to organize information the way this person wants.

Project setup skill: A developer has Claude automatically set up project structures, configuration files, and unit testing frameworks. Instead of explaining the same setup process every time, it's encoded in a skill that loads instantly.

Generic AI tries to be good at everything and ends up being mediocre at most things. Specialized AI focuses on specific tasks and gets dramatically better results.

Skills let you build institutional knowledge into your AI. Instead of re-explaining your preferences, processes, and standards every time, you encode them once and load them on demand.

It's the difference between hiring a generalist and hiring an expert. Experts cost more but deliver better outcomes. Skills let you have multiple experts for the price of one AI subscription.

AI is moving from one-size-fits-all to context-specific. The best AI tools won't be the ones with the smartest models. They'll be the ones that adapt to your specific needs, workflows, and domain.

Skills are how you build that adaptation. You're not just using AI. You're training it to work the way you work.

If you use AI regularly, start building skills for your most common tasks. The upfront investment pays off exponentially as you reuse them.

If you're selling AI services, productize your skills. Clients don't want generic AI. They want AI that understands their industry, their workflow, their standards.

If you're building AI products, think about how users can customize and specialize your tool. Generic AI is a commodity. Specialized AI is a moat.

What's next

Expect a marketplace for Claude Skills. People will start selling pre-built skill folders for specific industries and use cases. "Marketing agency skill pack." "Legal research skill set." "E-commerce operations bundle."

The best AI users won't be the ones with the best prompts. They'll be the ones with the best skills library.

BTW: Skills are how you turn AI from a tool into a team. Each skill is like a different team member with different expertise. You're not managing one AI. You're managing a specialist for every domain you work in.

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The Recap: Google's Nano Banana Pro ships with essentially no content moderation, easily generating conspiracy theories and controversial imagery without guardrails. The model represents a dramatic departure from Google's traditionally cautious approach to AI safety, raising questions about the race to market versus responsible deployment.

Unpacked:

Bottom line: Google's decision to ship an unmoderated model reveals the tension between AI safety principles and competitive pressure. As open-source alternatives proliferate without guardrails, major labs face a choice: maintain strict safety standards and risk losing market share, or race to the bottom on moderation to stay relevant.

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Best of AI™ Team

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