Hey Squad! I just uploaded a quick demonstration of the new Google Gemini Auto-Browse feature inside Chrome, and honestly, the potential here is wild. 🤯 We all know the struggle of automating sites that don't have an API (or have a limited one). In this video, I test out using Gemini’s agentic layer to handle my daily Skool checks for me. In this demo, you’ll see: - 🤖 Navigation: Gemini logging in and finding our specific community. - 👀 Detection: Scanning for new comments that need a reply. - ✍️ Interaction: Drafting and posting a response directly to a member—hands-free. It wasn't perfect (it missed the "like" button on the first try), but for a tool that can learn and execute "human" browsing tasks while you work on other things, it’s a game-changer. Watch the full demo here: https://www.youtube.com/watch?v=gzYiG0zgw8Y How are you guys using these new agentic browser features? Let me know in the comments! 👇

A lot of times I see these images on LinkedIn and X and don’t necessarily agree with the tools they feature. Many of them are usually outdated or ones that I’ve tried and not really liked. But this one has some pretty good tools on it and my opinion! So I figured I’d share for everybody!

Hey Squad! I’m super pumped to announce that we just shipped something massive, and I wanted you guys to be the first to see it. We’ve officially open-sourced the Automation Squad MCP for Samsara. 🔗 Link: https://github.com/automationsquadhq/mcp-samsara What is it? It connects Claude directly to the Samsara API. This isn't just a wrapper; it allows you to literally talk to a physical truck fleet. You can now build Agents that: ✅ Optimize Routes: "Find the fastest route for Truck 5 avoiding traffic." ✅ Track Live: "Where is driver John right now?" ✅ Check Compliance: "Who is about to hit their HOS violation limit?" Why this matters: This is one of the first real-world bridges between LLMs and physical logistics operations. And we are giving it away for free. 👇 I need a huge favor from the Squad: We want to get this trending on GitHub to blow up the Automation Squad brand (which helps all of us). 1. Click the link below. 2. Hit the ⭐️ Star button in the top right corner. 3. Try it out and let me know what you think in the comments! 🔗 Link: https://github.com/automationsquadhq/mcp-samsara I’m going to be dropping a full YouTube breakdown on how to set this up later this week, but the code is live right now. Let’s build! 🚀 — Rob

I’ve been experimenting with NotebookLM heavily lately, and honestly, the "Audio Overview" feature gets all the hype, but the real power is in the workflow. I just uploaded a breakdown (see the infographic below) of how to actually use this thing beyond just a party trick. The 3-Step Flow shown here is a game changer: - Curate (The Input): Dump your PDFs, YouTube links, and messy Google Docs into one notebook. It eats up to 50 sources at once. - Chat (The Analysis): Instead of CTRL+F, you literally ask questions. "What are the common themes between these 3 meetings?" or "Find the contradiction in this report." - Transform (The Output): This is the money maker. Use the Studio panel to turn those messy notes into FAQs, Briefings, Timeline, or Study Guides instantly. Who this is actually for: - Devs & Creators: Turn your documentation or video scripts into instant blog posts or social snippets. - Learners: Turn a dense whitepaper into a podcast you can listen to on the drive home. - Project Managers: Consolidate 10 different spec docs into one "Source of Truth." Want to Be a NotebookLM Boss? Visit our Classroom Here! I’m curious—has anyone tried the "Deep Research" feature yet for analyzing competitors? Drop a comment below with your best use case so far. 👇

Here are 5 powerful AI prompts specifically designed for commercial real estate brokers: 1. Property Analysis & Valuation Prompt "Analyze this commercial property at [address]: [property type, square footage, year built, current occupancy]. Compare it against similar properties within a 3-mile radius, considering current market conditions, recent comparable sales, cap rates, and NOI. Provide a detailed valuation range and highlight key investment metrics including cash-on-cash return, IRR, and potential value-add opportunities. Also identify any red flags or concerns." 2. Tenant Prospecting & Matching Prompt "I have a [property type] space with [square footage] available in [location] with these features: [list amenities, parking, visibility, etc.]. Based on current market demographics, business growth patterns, and industry trends in this area, identify the top 10 most likely tenant categories and specific businesses that would be ideal fits. For each, explain why they would benefit from this location and what lease terms would be mutually beneficial." 3. Market Report Generation Prompt "Create a comprehensive quarterly market report for [city/submarket] focusing on [property type - office/retail/industrial/multifamily]. Include: current vacancy rates, absorption trends, new construction pipeline, average asking rents, cap rate trends, major transactions, economic indicators affecting the market, and a 6-12 month forecast. Format this for client presentation with key takeaways and investment recommendations." 4. Deal Underwriting Assistant Prompt "Help me underwrite this potential acquisition: [property details, asking price, current rent roll, operating expenses]. Create a 10-year pro forma including: revenue projections with market rent growth assumptions, expense escalations, capital expenditure reserves, debt service coverage ratios, and sensitivity analysis for 3 scenarios (base, optimistic, pessimistic). Calculate expected returns and identify the break-even occupancy rate."