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Hey fam 👋 Luis & Rui here with your Thursday AI coffee break.
This week, Mistral is sending coding agents to the cloud so they can ship PRs while you’re at dinner, NVIDIA dropped an open multimodal model that’s eating six leaderboards for breakfast, and Anthropic just made Claude part of your creative stack (Photoshop, Blender, Ableton, the works).
Grab your coffee!
(3-minute coffee break ☕)
AI News around the world 🌍
🤖 Mistral launched Vibe, async cloud coding agents powered by Medium 3.5 that hit 77.6% on SWE-Bench Verified and open GitHub PRs while you sleep. (continue reading)
🧠 NVIDIA released Nemotron 3 Nano Omni, an open 30B multimodal model unifying vision, audio, and language with 9x higher throughput than rivals. (continue reading)
🎨 Anthropic plugged Claude into 9 creative apps including Photoshop, Blender, Ableton, and Fusion, letting you 3D model and edit scenes by prompt. (continue reading)
📄 Google Gemini can now generate full PDF, Word, Excel, Slides, and LaTeX files directly in chat, killing the copy-paste-into-blank-template loop. (continue reading)
💻 Poolside dropped Laguna M.1 plus open-weights Laguna XS.2, two agentic coding models hitting 72.5% on SWE-bench Verified, with the 33B XS.2 runnable on a Mac. (continue reading)
Trending AI Tools 🛠
🤖 Atoms: an AI product-building platform from the MetaGPT/OpenManus team that takes you from idea to working product, with built-in SEO and Ads agents to grow what you ship. 👉 Try Atoms here
🎧 Auxx.ai: an open-source AI customer support platform that auto-classifies, routes, and drafts replies to tickets across email, chat, SMS, and Shopify integrations.
🎙 Monologue: a Mac and iOS voice dictation app that adapts to your vocabulary and writing style, formatting transcribed text based on the app you’re working in.
🌐 Text-to-360: an AI generator that turns text prompts into immersive 360° images and videos, useful for virtual tours, VR backdrops, and product showcases.
Tutorials 📝
Career & Capital 💼
AI Job Board
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🚗 Waymo: AI Enablement Lead – $158,000 to $200,000 (view job)
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📱 Samsung Research America: Senior AI Interaction Designer – $158,800 to $218,100 (view job)
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🧪 Leidos: Applied Machine Learning Engineer (NLP/AI) – $87,100 to $157,450 (view job)
Investments in AI
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Ineffable Intelligence: raised a record $1.1B seed at a $5.1B valuation to build a “superlearner” that masters knowledge through reinforcement learning instead of human labels. (link)
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ComfyUI: raised $30M at a $500M valuation to scale its open-source visual AI workflow platform. (link)
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Tesla: quietly disclosed a ~$2B all-stock acquisition of an unnamed AI hardware company in its Q1 10-Q. (link)
Prompt of the Week 🧠
Customer Interview Synthesis → Turn messy discovery calls into clear product insights and next moves.
Use this when you’ve just wrapped a batch of customer or prospect interviews and have a stack of transcripts (or rough notes) sitting unused. It turns raw conversation into themes, jobs-to-be-done, objections, and a prioritized list of what to build, fix, or test next.
Prompt:
You are a senior product researcher and strategist. I'm going to share raw customer interview notes or transcripts, and I need you to synthesize them into actionable insights. Context inputs (I'll provide): - Company / product: [one-line description] - Target customer: [who you sell to] - Goal of the interviews: [e.g. validate new feature, understand churn, refine ICP] - Interview material: [paste 1-5 transcripts or note dumps below] What I want you to produce: 1. Top 5 themes — Recurring patterns across interviews, ranked by how many people mentioned them. For each theme: a one-sentence summary, who said it, and a representative quote. 2. Jobs-to-be-done — The 3 biggest "jobs" customers are hiring our product (or a workaround) to do. Phrase each as: "When [situation], I want to [motivation], so I can [outcome]." 3. Pains and frustrations — Top 5 specific complaints or friction points. Tag each as: product, pricing, onboarding, support, or positioning. 4. Objections and hesitations — What's stopping prospects from buying or expanding? List each objection with the underlying belief or fear behind it. 5. Surprises — Anything that contradicts our current assumptions or strategy. Flag clearly. 6. Prioritized action list — 5 next moves, ranked by impact vs. effort. Split into: - Build / fix (product changes) - Message / position (marketing changes) - Test / validate (things to ask in next round of interviews) 7. Follow-up questions — 5 sharper questions I should ask in the next round of interviews to close the gaps in this batch. Constraints: - Quote customers directly when it strengthens a point. Use their language, not corporate-speak. - If a theme only came from 1 person, say so. Don't inflate it. - Be honest about what's unclear or conflicting in the data. Don't paper over contradictions. - Keep the final action list to 5 items. No more.
Where to use it: Founders and product/marketing leads after a batch of discovery, churn, or win/loss interviews. Especially useful before roadmap planning, repositioning a landing page, or briefing the team on what customers actually want next.
📮 Need help with AI? Here’s how we can help:
✅ Become a PRO member → Get exclusive AI tutorials, ready-to-use prompts, custom GPTs, and +50 automation workflows. Upgrade here
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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.
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