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Hey fam 👋 Luis & Rui here with your Monday AI coffee break.
Anthropic dropped Claude Opus 4.8 (it now catches its own coding mistakes) and quietly raised a jaw-dropping $65B, Perplexity moved into your Microsoft Office apps, and Amazon MGM greenlit its first AI-made series.
The models and the money are both moving fast this week, so let’s break it all down.
Grab your coffee!
(3-minute coffee break ☕)
Claude Code for Beginners. Free Masterclass.
We created a full masterclass on Claude Code for beginners. No slides. No theory. Just us opening Claude Code live and showing you exactly how to use it from scratch.
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AI News around the world 🌍
🧠 Anthropic released Claude Opus 4.8, which catches its own coding mistakes and tops legal benchmarks. (continue reading)
💰 Anthropic also raised a massive $65B Series H at a $965B valuation, led by Altimeter and Sequoia, with run-rate revenue now past $47B. (continue reading)
📊 Perplexity Computer now works natively inside Word, Excel, PowerPoint, and Outlook, drafting docs, building models, and writing emails. (continue reading)
🖥️ Microsoft unveiled a redesigned 365 Copilot app with a new in-app AI experience, putting agentic assistance in front of millions. (continue reading)
🎬 Amazon MGM Studios launched a GenAI Creators’ Fund and greenlit three AI-assisted Prime Video series. (continue reading)
Trending AI Tools 🛠
🤖 Cuey: Free Chrome extension that brings your ChatGPT, Claude & Gemini chat history into one searchable tab. Never start from scratch again. Get 2 months of Pro on us with code 👉 AIBREAK.
🤖 NoimosAI: An all-in-one autonomous AI marketing platform for SEO/GEO, social media, growth strategy, competitor intelligence, multi-channel marketing workflows, and more — helping individuals and companies scale marketing operations from one unified system. 👉 Start your 7-day free trial
🛍️ Vmake AI: Turns product links or photos into shoppable user-generated videos optimized for TikTok Shop and ads, so founders can scale ecommerce content fast.
💻 Grok Build: xAI’s agentic command-line coding tool that runs in your terminal, edits files, runs shell commands, and builds apps from natural-language prompts.
Tutorials 📝
Career & Capital 💼
AI Job Board
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🤖 Hewlett Packard Enterprise: AI Tools Architect / Tech Lead – $160,000 to $349,000 (view job)
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🏗️ Capgemini: Dynamics 365 Enterprise AI Architect – $160,650 to $201,495 (view job)
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🧬 Iovance Biotherapeutics: AI Product Engineer – $100,000 to $125,000 (view job)
Investments in AI
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🧑💻 Cognition: The maker of AI software engineer Devin raised $1B at a $26B valuation, co-led by Lux Capital, General Catalyst, and 8VC. (link)
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🔀 OpenRouter: The unified marketplace for 400+ AI models raised a $113M Series B at a $1.3B valuation, led by Alphabet’s CapitalG. (link)
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🎬 Reactor: The real-time generative video platform emerged from stealth with $59M led by Lightspeed, with Jeffrey Katzenberg’s WndrCo participating. (link)
Prompt of the Week 🧠
Blameless Post-Mortem → Turn a flopped launch or missed quarter into a system that stops the same failure twice.
Prompt:
You are a seasoned operations and strategy advisor running a blameless post-mortem. I'm going to describe something in my business that underperformed. Your job is to find the real root cause and give me a prevention system, not to assign blame. Here's what happened: - What we expected: [describe the goal/target and why we believed it was achievable] - What actually happened: [the outcome, with numbers if you have them] - Timeline: [key events and decisions from start to outcome] - Who/what was involved: [people, tools, channels, dependencies] - What we already suspect went wrong: [your current theory] Walk me through this in five steps: 1. TIMELINE OF DECISIONS - Reconstruct the sequence of decisions and the assumptions behind each one. Flag the moments where a different call could have changed the outcome. 2. ROOT CAUSE (not symptoms) - Use "5 Whys" to drill past the surface explanation to the underlying systemic cause. Distinguish a one-off bad-luck event from a repeatable process failure. 3. WHAT WORKED - Identify what we should NOT change, so we don't overcorrect and break something that was fine. 4. PREVENTION SYSTEM - Give me 3 concrete, assignable changes (a checklist item, a guardrail, a decision rule, or an early-warning metric) that would have caught this earlier. For each, name the trigger and the owner role. 5. EARLY-WARNING DASHBOARD - List the 3 leading indicators I should track from now on that would flag this failure mode 2 to 4 weeks before it becomes visible in results. Ask me up to 3 clarifying questions before you start if anything critical is missing. Keep it direct and specific to my situation. No generic advice.
Where to use it: After any failed product launch, lost deal, missed sales quarter, blown deadline, or botched hire.
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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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