[[{“value”:”
Hey fam 👋 Luis & Rui here with your Monday AI coffee break.
Google just dropped Gemini 3.1 Pro with next-level reasoning capabilities, OpenAI boosted coding speed to 1,200+ tokens per second, and we’re getting our first look at OpenAI’s hardware lineup (yes, they’re building physical devices now). Plus, Claude can now hunt down security vulnerabilities in your codebase.
Grab your coffee!
(3-minute coffee break ☕)
AI News around the world 🌍
🧠 Google launched Gemini 3.1 Pro, a new AI model built specifically for complex, multi-step reasoning tasks that require sophisticated problem-solving. (continue reading)
⚡ OpenAI’s GPT-5.3-Codex-Spark now runs 30% faster at over 1,200 tokens per second on Cerebras hardware, making real-time AI coding dramatically more responsive. (continue reading)
📱 OpenAI is developing AI-powered hardware designed by Jony Ive, starting with a $200-$300 smart speaker launching in 2027, plus potential smart glasses and a lamp. (continue reading)
🔒 Anthropic released Claude Code Security preview, an AI reasoning tool that scans codebases for vulnerabilities and suggests patches that traditional static analysis tools miss. (continue reading)
📺 YouTube is testing a conversational AI assistant on smart TVs that lets viewers ask questions about videos they’re watching in real time. (continue reading)
Trending AI Tools 🛠
🔍 Lorka AI: Boost your productivity with AI-powered automation designed to simplify your workflow and help you work smarter. Discover how Lorka AI helps you save time, optimize tasks, and get better results faster. 👉 Try Lorka AI now!
💰 CroPilot: AI agent that autonomously analyzes your site, generates high-converting copy, and runs A/B tests with automated implementations.
🔍 Semrush One: Unified search visibility platform tracking your brand across Google, ChatGPT, Gemini, and Perplexity with AI visibility scores.
📝 Glinky: AI meeting assistant that transcribes calls in real time, generates structured action notes, and syncs takeaways to your project.
Tutorials 📝
Career & Capital 💼
AI Job Board
🎯 Apple – Marketing Operations Data & Insights Lead | $141,800 – $258,600 (view job)
🏥 Arya Health – Senior Software Engineer, AI | $180,000 – $250,000 (view job)
🚀 Relitix – Technical Delivery Lead, Agentic Engineering | $130,000 – $140,000 (view job)
Investments in AI
🤖 OpenAI: Finalizing a record-breaking $100B+ funding round at $850B+ valuation with Amazon ($50B), SoftBank ($30B), Nvidia ($20B), and Microsoft as key investors. (link)
🌍 World Labs (Fei-Fei Li): Raised $1B for spatial AI and 3D world models with investors including Autodesk ($200M), AMD, Nvidia, and Fidelity at ~$5B valuation. (link)
🧠 Ineffable Intelligence (David Silver, ex-DeepMind): Raising $1B seed round led by Sequoia Capital for reinforcement learning-based AI that teaches itself from scratch at ~$4B pre-money valuation, which would be Europe’s largest seed round. (link)
Prompt of the Week 🧠
Sales Objection Handling
Every sales team faces the same objections over and over, but most reps wing their responses instead of using battle-tested frameworks. This prompt analyzes your product and common objections to generate a structured playbook with multiple response strategies, so your team always has a confident, natural-sounding answer ready.
You are a Sales Strategist with 15 years of experience closing B2B deals in competitive markets. Your job: Build a comprehensive objection-handling playbook for my sales team. Context I'll provide: — Product/Service: [PRODUCT NAME + one-sentence description] — Target Customer: [WHO they are + typical deal size] — Top 5 Objections: [List the most common pushbacks you hear] — Current Close Rate: [approximate %] — Sales Cycle Length: [average days/weeks] For EACH objection, generate: **1. Acknowledge & Reframe** — Validate the concern (never dismiss it) — Reframe it as a strength or opportunity — Bridge to your value proposition **2. Question-Based Response** — 2-3 discovery questions that uncover the real concern behind the objection — Follow-up responses based on likely answers **3. Social Proof Response** — Reference a customer success story template — Include specific metrics (ROI, time saved, revenue gained) — Make it conversational, not scripted **4. The Confident Close** — A direct response for when the prospect is nearly there — Include a soft close and a direct close option **5. Red Flag Check** — When this objection actually means "not a fit" — Signs to qualify out gracefully Output format: Organized by objection, with headers and sub-sections. Each response should feel conversational, not robotic. Include coaching notes for managers on common mistakes reps make with each objection. My details: [PASTE YOUR PRODUCT AND OBJECTION INFO HERE]
Where to use it: Perfect for sales leaders building team playbooks, founders handling their own sales calls, account executives preparing for enterprise deals, and SDRs who want to move past “let me think about it” with confidence.
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That’s a wrap for today’s AI Break 🙌
Thanks for hanging out → don’t forget to hit subscribe, drop your thoughts below and share this update with your fellow AI enthusiasts.
Luis & Rui
PS: Catch us on X @sousa_brothers for daily updates on the latest AI developments.
PPS: If you enjoyed today’s AI Break, sharing is caring (and our algorithms are 😉 programmed for gratitude)
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