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🚀 Be featured in our next issue. 👉 work with us here
Hey fam 👋 Luis & Rui here with your Monday AI coffee break.
OpenAI teased its next model Astra by casually solving ten open math problems, then slashed GPT-5.6 Luna prices by 80%, while Google’s Gemini Spark started running your web errands right inside Chrome.
Grab your coffee!
(3-minute coffee break ☕)
🔥 If you still haven’t made your first dollar with AI, read this.
We get this email constantly. You understand the tools. Nothing’s turned into money yet.
It’s not a knowledge gap. You just haven’t copied something that already works.
That’s why we are pointing you at The Boardroom. On this skool community you will have:
→ Lead scraping on autopilot
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→ And automations that make you money
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AI News around the world 🌍
🧮 OpenAI teased its next major model Astra by publishing solutions to ten open math problems, each verified with machine-checkable proofs. (continue reading)
💸 OpenAI cut GPT-5.6 Luna prices by 80%, betting that ultra-cheap, high-volume intelligence will win cost-sensitive enterprises from rivals. (continue reading)
🌐 Google’s Gemini Spark now uses your Chrome logins to handle web errands like booking appointments, rolling out to Pro subscribers in 160+ countries. (continue reading)
🔓 Claude models breached three real organizations during Anthropic’s cybersecurity evals after a misconfiguration gave test environments live internet access. (continue reading)
🌍 Google pulled its Nano Banana 2 image feature from Google Earth after one day when users generated fake satellite imagery of nonexistent events. (continue reading)
Trending AI Tools 🛠
🎬 Sync.so: Studio-grade AI lipsync and dubbing that syncs any voice to any face across live-action, animated, or AI-generated video, up to 4K quality.
✍ YoFont: Turns a one-sentence description or reference image into a complete installable typeface with editable glyphs.
🖥 CanIRun.ai: Free browser tool that scans your GPU, CPU, and RAM, grades your machine’s AI-readiness, and shows which local AI models it can actually run.
🗂 Image MetaHub: Local-first desktop gallery that indexes prompts, models, and seeds from AI-generated images.
Tutorials 📝
Career & Capital 💼
AI Job Board
🍎 Apple: AIML Data Scientist, Evaluation (Seattle, WA) – $142,300 to $263,300 (view job)
🤖 ATHES (APEX): AI Application Developer (Remote) – $110,784 to $133,417 (view job)
🏥 Ascension: Data Scientist (Remote) – $96,209 to $134,110 (view job)
Investments in AI
🛡 Onyx Security: Raised $113M Series B (Bessemer-led, ~$640M valuation) for a control plane that monitors and governs enterprise AI agents at runtime. (link)
🔐 Act Security: Emerged from stealth with $60M (Team8, Bessemer, Notable Capital) to stop humans, workloads, and AI agents inheriting dangerous dormant cloud permissions. (link)
🛰 DataBahn: Raised $40M Series B (Insight Partners-led) for an agentic data control plane that routes enterprise telemetry from 600+ sources into AI and analytics. (link)
Prompt of the Week 🧠
AI Adoption Rollout → Turn the AI tools you’re already paying for into daily habits your team actually uses.
Most teams buy AI subscriptions, run one demo, and watch the licenses collect dust while the invoices keep coming. This prompt turns your unused seats into a 30-day rollout plan with role-specific quick wins, internal champions, and adoption metrics you can actually track.
Prompt:
You are an AI adoption strategist who has rolled out AI tools across dozens of small and mid-sized teams. Your job is to get my team from "we pay for it" to "we use it daily" in 30 days. Here's my situation: - Company and team: [describe your company, team size, and what each role does day to day] - AI tools we pay for: [list each tool, monthly cost, and honest current usage, e.g. "ChatGPT Team, $25/seat, 3 of 10 people touch it weekly"] - Biggest blockers: [e.g. "people don't know where to start", "fear of putting client data in", "no time to learn new tools"] Step 1: For each role on my team, identify the 3 highest-leverage tasks our existing AI tools could take over or speed up. Be specific to that role's real workflow, not generic advice like "use it for emails." Step 2: Build a 30-day rollout plan: - Week 1: one guaranteed quick win per role (a task under 10 minutes with an obvious payoff), plus a copy-paste starter prompt for each - Weeks 2-3: one recurring workflow per role that moves into the AI tool permanently, with a simple checklist for doing it right - Week 4: a 30-minute team session agenda where people show what worked, plus 3 questions to surface what flopped and why Step 3: Recommend how to pick 1-2 internal champions, what their role is, and the exact message I should send to recruit them without making it feel like extra homework. Step 4: Give me 3 adoption metrics I can track without surveilling anyone (e.g. weekly active users from the admin panel, tasks migrated, hours saved self-reported), with a realistic day-30 target for each. Step 5: Set a kill rule: for each tool, tell me the threshold where I should downgrade seats or cancel if adoption doesn't materialize, so the stack pays rent or leaves. Format the output as a clean rollout doc I can share with my team as-is: plain language, tables where useful, no corporate fluff.
Where to use it: Paste into ChatGPT, Claude, or Gemini along with your tool list and team details. Perfect for founders, ops leads, and team managers paying for AI seats that mostly sit unused.
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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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