OpenAI just introduced ChatGPT Pulse, a new feature that gives you daily personalized updates right inside ChatGPT. Pulse can pull insights from your chats and, if you choose, connect to Gmail and Calendar to suggest meeting prep, reminders, and more. It’s still in preview for Pro users on mobile, but it’s a big step toward making ChatGPT more proactive not just reactive. 👉 Check it out here: openai.com/introducing-chatgpt-pulse

Anthropic just upgraded Claude Sonnet 4 with a massive 1 million token context window, a 5x increase from its previous 200K limit. This means Claude can now analyze entire codebases, full novels, or massive document sets in a single prompt. What Happened: Claude Sonnet 4 now supports up to 1 million tokens of context on the Anthropic API, a 5x increase. The expanded context window allows Claude to process and reason over much larger amounts of text in a single request, putting it on par with Google Gemini and OpenAI's million-token models. Users can now load entire codebases, including source files, tests, and documentation for comprehensive analysis. The feature is currently in public beta on the API. Why This Matters for Agencies: - Codebase Analysis: Upload entire client repositories for bug detection, refactoring, and documentation without splitting across multiple prompts. - Document Synthesis: Process massive PDFs, reports, or research in one go instead of chunking and summarizing. - New Service Opportunities: Offer comprehensive code audits or large-scale content analysis as premium services. - Workflow Efficiency: Price has substantially increased, so smart context management becomes crucial for profitability. Bottom Line: Claude's 1M token window opens doors to enterprise-level analysis tasks previously impossible. Start piloting with smaller clients to test cost effectiveness before scaling up.

Google Cloud recently shared 601 real-world generative AI use cases from leading companies across 11 industries — showing how AI is already solving real problems at scale. Key Takeaways - The use cases are grouped into six types of “AI agents”:Customer, Employee, Creative, Code, Data, and Security agents. - These agents show how AI is moving beyond experiments into everyday business processes. - Companies across automotive, healthcare, finance, retail, media, manufacturing, and energy are using AI to improve speed, accuracy, and customer experience. Highlights - Customer agents: Car brands use conversational assistants for in-car search and support; food chains predict orders and personalize promos. - Employee agents: AI helps support teams summarize conversations and assists factory staff with quick-build ML tools. - Creative agents: Brands cut campaign production from weeks to hours and use AI-generated visuals for marketing. - Code agents: Enterprises use AI to generate, debug, and understand legacy codebases. - Data agents: Banks accelerate credit approvals by up to 90 %, manufacturers optimize supply chains with AI-driven simulations. - Security agents: Financial institutions detect fraud and respond to threats much faster. Why It Matters These examples prove that generative AI is already transforming industries. The shift is from “What could AI do?” to “Here’s what it’s doing today.” Use this list for: - Inspiration for your next AI-powered project - Understanding trends shaping your industry - Learning patterns that can transfer across sectors, from chatbots to document automation You can explore the full list on Google Cloud: cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders

This is your starting point in the AI Automation Agency PH Family. Here, you’ll make your first connections and set the foundation for meaningful relationships within our community. What This Channel is For: - Introduce Yourself: Share who you are with the community. - Show Your Goals: Let others know what you’re working toward. - Find Connections: Meet members with similar interests. - Build Your Network: Form relationships that can accelerate your growth. How to Introduce Yourself: Click the “Write Something” button ✍️ and include: 1. Your name and location 2. What you do / your background 3. Your top 3 goals for the next 6 months with your AI agency 4. 3 things you enjoy outside of work 5. Any unique skills or experiences you bring to the community Reminder: Your introduction is your first impression. The connections you make here could become collaborators, partners, or valuable supporters in your journey. Let’s start strong and grow together.

N8N has just introduced Native Data Tables a feature that lets you store and manage data directly inside your n8n environment. No more relying on external databases or endless API calls. With this update, you can easily connect data tables to your workflows or AI agents in just a few steps. It’s perfect for quick prototypes, demos, or when you need a simple way to manage data without dealing with latency or rate limit issues. For many use cases, this feature is a complete game-changer!!!