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Hey fam 👋 Luis & Rui here with your Monday AI coffee break.
SpaceX just closed a $60 billion deal for Cursor, Google cut the price of Gemini 3.7 Flash in half, and ChatGPT now wants to watch what you do on your Mac.
Grab your coffee!
(3-minute coffee break ☕)
Did you know we have +150 step-by-step AI tutorials in our archive? 📚
ChatGPT, Claude, Perplexity, automations, prompt systems, all step by step. Odds are whatever you’re stuck on this week already has one.
Browse the archive →
AI News around the world 🌍
🚀 SpaceX closed its $60 billion buyout of Cursor maker Anysphere, folding the coding tool into a new SpaceXAI division. (continue reading)
⚡ OpenAI previewed Ultrafast mode for GPT-5.6 Sol, hitting 750 tokens per second and running up to 14x faster on Cerebras chips. (continue reading)
💸 Google launched Gemini 3.7 Flash with big coding gains and half the price of 3.6 Flash through the end of the year. (continue reading)
🔓 Alibaba released Qwen3.8-27B, a multimodal open weight model under Apache 2.0 with a 262K context window that runs on local hardware. (continue reading)
🖥 ChatGPT’s new opt in Computer History feature logs your Mac clicks and app switches so it can pick up where you left off. (continue reading)
Trending AI Tools 🛠
⚙️ Cuey: cross-checks ChatGPT, Claude & Gemini so you don’t get burned by AI answers that can be wrong 35% of the time. Add to Chrome, free.
🏗️ Tenki Cloud: swaps GitHub hosted runners for bare metal ones, so your builds finish about 30 percent faster and cost your team far less.
🎬 Ankon AI: turns a topic, script or PDF into a narrated whiteboard explainer video with voiceover, captions and thumbnails, ready to publish in minutes.
🛒 TickClip: checks any product link against 90 day price history, review authenticity and seller reputation, then tells you to buy, wait or skip.
Tutorials 📝
Career & Capital 💼
AI Job Board
✏ Oddball: Applied AI/Machine Learning Engineer – $150,000 to $200,000 (view job)
⚖ CGI Group: Senior Software Engineer, AI Development Enablement Lead – $89,600 to $198,400 (view job)
🎯 DEPLOY: AI / ML Engineer – $85,000 to $199,999 (view job)
Investments in AI
🧱 Databricks raised $5 billion at a $190 billion valuation led by Coatue. (link)
🚀 River AI raised $1.1 billion led by General Catalyst just two months after being founded, with Nvidia and AMD Ventures joining. (link)
💜 Lovable raised $400 million at a $13.3 billion valuation led by Menlo Ventures, nearly doubling its valuation in eight months. (link)
Prompt of the Week 🧠
Key-Person Risk Audit → Find out what quietly breaks if one person, one client or one tool disappears tomorrow.
Every business has hidden single points of failure: the ops person who is the only one who knows the billing system, the client who is 40% of revenue, the founder inbox nobody else can answer. This prompt maps them all, scores them by damage, and hands you a coverage plan you can start this week.
Prompt:
You are a business continuity consultant who specializes in small and mid-sized companies. Your job is to find the single points of failure that would hurt me most, and give me a realistic plan to reduce them. Here is my business: - What we do: [ONE LINE DESCRIPTION] - Team size and roles: [LIST EVERY PERSON AND WHAT THEY OWN] - Revenue split by client or product: [TOP 5 WITH ROUGH % OF REVENUE] - Critical tools, accounts and systems: [BILLING, HOSTING, CRM, EMAIL, PAYMENTS, ETC.] - Who holds access, passwords or admin rights for each: [LIST] - Things only one person knows how to do: [BRAIN DUMP, MESSY IS FINE] Step 1. Build a Risk Register as a table with these columns: Risk, Type (person / customer / supplier / tool / knowledge / access), What breaks if it disappears, Time to feel the pain (days), Revenue at risk, Likelihood (low / medium / high), Severity (1 to 5), Risk score (likelihood x severity). Step 2. Rank every risk by score and show me the top 5. For each of those 5, explain in plain language the exact chain of events that unfolds in week 1, week 2 and month 1 if it happens with no plan in place. Step 3. For each of the top 5, give me three fixes at three effort levels: a 1-hour fix I can do today, a 1-week fix, and a structural fix that removes the risk permanently. Be specific about what gets written down, who gets cross-trained, and which access gets duplicated. Step 4. Write a 30-day de-risking plan. Week by week, list the exact tasks, who does them, and the artifact each one produces (a document, a shared login, a recorded walkthrough, a signed agreement). Step 5. Flag anything I did not tell you that a business like mine usually has as a blind spot. Ask me up to 5 questions to fill those gaps, then note how the answers could change the ranking. Rules: be blunt about the risks I am underestimating. Prefer concrete artifacts over vague advice. Do not suggest hiring as the first answer to anything.
Where to use it: Ideal for founders, agency owners and ops leads doing a quarterly review, planning time off, or reacting after a near-miss where one person or one tool almost took the business down.
📮 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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