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Hey fam 👋 Luis & Rui here with your Monday AI coffee break.
Big week ahead. Google pushed Gemini 3.5 Pro back again after coding benchmarks came up short, Apple briefly stole the crown from Nvidia, and Moonshot dropped a 2.8 trillion parameter open model out of nowhere.
Grab your coffee! (3-minute coffee break ☕)
We have a Question for your:
What if you could learn from A-Z how to use Claude (App, Cowork and Code) to run your entire business or to create one from scratch?
Would you be interested in joining a FREE community where Luis and I will personally teach you how we use Claude to run two 6-figure businesses with no employees?
Let us know below 👇
AI News around the world 🌍
📉 Google delayed Gemini 3.5 Pro again after coding tests fell short, and Alphabet shares dropped roughly four percent. (continue reading)
🍎 Apple briefly passed Nvidia as the world’s most valuable company on Friday, signaling investors are rotating beyond AI chips. (continue reading)
🐉 Moonshot released Kimi K3, a 2.8 trillion parameter open model with a million token context and competitive coding scores. (continue reading)
🌏 China launched WAICO, a Shanghai-based AI governance body with 29 founding countries, mostly across the Global South. (continue reading)
🚧 Patreon now actively blocks AI training crawlers through Cloudflare, cutting weekly scraping attempts from thousands down to zero. (continue reading)
Trending AI Tools 🛠
⚙️ Script.it: Describe an automation in plain English and get a verifiable, rerunnable workflow across 600+ integrations, replacing brittle Zapier chains.
🗣️ PolyTalk: Self-hosted, open-source real-time speech translation across 30+ languages, so sensitive meeting and client audio never touches a cloud API.
📊 PasteSheet: Turns any public Google Sheet into a live REST API and MCP server in seconds, letting apps and AI agents read your data without a backend.
🗂️ Siket: Replaces your browser’s new tab with a keyboard-driven command center for todos, calendar, email, tab sessions, and habits, plus Claude-powered planning.
Tutorials 📝
Career & Capital 💼
AI Job Board
🤖 FurtherAI: Engineering Manager, AI Agents (San Francisco) – $250,000 to $350,000 (view job)
🧠 Stand: Machine Learning Engineer, Multimodal Modeling (San Francisco) – $250,000 to $295,000 (view job)
🚀 Clera: Founding AI Engineer (San Francisco) – $150,000 to $200,000 (view job)
Investments in AI
📊 Databricks: Signed a term sheet for roughly $3 billion at a $188 billion valuation, led by existing backer Coatue. (link)
🩺 Neko Health: Daniel Ek’s body scanning startup raised a $700 million Series C led by Lightspeed ahead of its US clinic launch. (link)
🎬 PixVerse: The AI video platform closed a $439 million Series C led by Alibaba, pushing its valuation past $2 billion. (link)
Prompt of the Week 🧠
Ad Angle Lab → Turn one product into 10 testable ad angles ranked by likely winner.
Most teams run the same tired ad forever, then blame the algorithm when CPA climbs. Use this when creativity has gone stale, when you are launching a new offer, or when you need a month of test variations without paying an agency to brainstorm them.
Prompt:
You are a direct response strategist who has spent 10 years buying paid media for [YOUR INDUSTRY]. You care about what converts, not what wins awards. MY BUSINESS Product/service: [WHAT YOU SELL] Price point: [PRICE AND BILLING MODEL] Primary customer: [WHO BUYS, ROLE AND COMPANY TYPE] The problem they have before buying: [PAIN IN THEIR WORDS] Main competitor or status quo: [WHO OR WHAT THEY USE INSTEAD] Channel: [META / GOOGLE / LINKEDIN / TIKTOK / YOUTUBE] Current best performing ad: [PASTE COPY, OR WRITE "NONE YET"] Current CPA and target CPA: [NUMBERS, OR "UNKNOWN"] DO THIS STEP 1: Angle map Generate 10 distinct ad angles. An angle is a strategic argument, not a headline. Cover at least these families and label which each one is: pain agitation, dream outcome, cost of inaction, competitor switch, objection reversal, unexpected use case, identity or status, proof and authority, speed or ease, risk reversal. For each angle give me: - Angle name - The core argument in one sentence - The specific belief the buyer must already hold for it to land - Why it could fail STEP 2: Score them Rank all 10 in a table on: message to market fit (1-5), differentiation versus my competitor (1-5), ease of proving the claim (1-5), and channel fit for [CHANNEL] (1-5). Give a total and sort descending. Explain the top pick and the bottom pick in two sentences each. STEP 3: Build the top 3 For each of the top 3 angles, write: - 3 hooks (first line or first 2 seconds, under 12 words each) - 1 primary text block of 60-90 words - 2 headline options under 40 characters - 1 visual direction described concretely enough to brief a designer or a video editor Match my buyer's actual vocabulary. No jargon I did not use above. STEP 4: Test plan Give me a 14 day test: what to launch first, budget split, how many impressions or clicks before I judge anything, the single metric that decides a winner, and the kill rule for a loser. STEP 5: Flag risk List any claim in the above that I would need evidence for before running it, and what evidence would satisfy a platform reviewer. Ask me up to 3 clarifying questions before you start if anything above is too thin to work with.
Where to use it: Best for founders and marketers running paid acquisition on any budget, plus agency and freelance media buyers who need to walk into a client call with a real creative slate.
📮 Need help with AI? Here’s how we can help:
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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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