☕🤖 Anthropic Just Launched Cloud Agents You Can Deploy in Minutes
PLUS: Meta Drops Muse Spark, a New Multimodal Reasoning Model...
🚀 Learn Claude Code in 90mn 👉 Our Free Claude Code Masterclass for Beginners
Hey fam 👋 Luis & Rui here with your Thursday AI coffee break.
Anthropic just dropped Managed Agents, so you can deploy Claude in the cloud, Intel is teaming up with Musk on a massive AI chip factory, and Meta unveiled a brand new multimodal reasoning model.
Grab your coffee! (3-minute coffee break ☕)
AI News around the world 🌍
🤖 Anthropic launched Claude Managed Agents in public beta, letting developers deploy cloud-hosted agents with sandboxed execution. (continue reading)
🛡️ Anthropic’s Project Glasswing partners with major tech companies to deploy Claude for defensive cybersecurity. (continue reading)
🏭 Intel joined Musk’s Terafab mega-project alongside SpaceX and Tesla to produce AI processors targeting one terawatt annual chip capacity. (continue reading)
🧠 Meta unveiled Muse Spark, a multimodal reasoning model with a new “Contemplating mode” for agent orchestration. (continue reading)
💻 Z.ai released open-source GLM-5.1 under MIT license, achieving top SWE-Bench Pro scores on long-horizon coding tasks. (continue reading)
Trending AI Tools 🛠
🔌 HasMCP: A no-code gateway that converts any OpenAPI spec into a ready-to-use MCP server, letting AI agents call your APIs instantly.
📣 Montr AI: An all-in-one marketing automation suite that generates UGC, schedules social posts, and manages leads with drag-and-drop AI workflows.
🚀 Flint: An autonomous landing page platform that scans your brand and generates conversion-optimized pages at scale with no engineering needed.
🎧 Pluno: An AI support agent for complex B2B tickets that learns from resolved cases to handle multi-step troubleshooting inside Zendesk and Intercom.
Tutorials 📝
Career & Capital 💼
AI Job Board
⚡ Qualcomm: Senior AI Technical Lead - $249,900 to $374,900 (view job)
📊 Zillow: Manager, Ads and Marketing Data Science - $152,500 to $256,500 (view job)
💊 Sanofi: iCare Insights, Data Analyst - $133,500 to $192,833 (view job)
Investments in AI
🚀 Eclipse Ventures raised a $1.3B fund to back and incubate “physical AI” startups across robotics, manufacturing, and defense. (link)
🛰️ Xoople raised $130M Series B to build a satellite constellation capturing high-resolution Earth data designed as training data for AI models, led by Nazca Capital. (link)
💰 Microsoft committed $10B to expand AI data center infrastructure and cybersecurity in Japan, partnering with SoftBank and Sakura Internet. (link)
Prompt of the Week 🧠
Customer Win-Back Campaign → Turn your churned customers into a reactivation pipeline with personalized outreach sequences.
Prompt:
You are a retention marketing strategist. I need you to build a complete customer win-back campaign for my business.
**My Business Context:**
- Company: [YOUR COMPANY NAME]
- Product/Service: [DESCRIBE YOUR PRODUCT OR SERVICE]
- Average customer lifetime: [e.g., 8 months]
- Monthly churn rate: [e.g., 5%]
- Pricing: [YOUR PRICING TIERS]
- Main reasons customers leave: [LIST 3-5 REASONS]
- Number of churned customers in the last 6 months: [APPROXIMATE NUMBER]
**Build me a complete win-back system with these components:**
**1. Churn Segmentation Framework**
Create 4-5 distinct segments based on the churn reasons above. For each segment, define:
- Segment name and criteria
- Recovery probability (high/medium/low)
- Optimal re-engagement timing (how long after churn to reach out)
- Best channel (email, phone, LinkedIn, in-app)
**2. Win-Back Email Sequence (3 emails per segment)**
For each segment, write 3 emails spaced across 30 days:
- Email 1: Acknowledgment + value reminder (no hard sell)
- Email 2: What's changed since they left (new features, improvements relevant to WHY they left)
- Email 3: Specific incentive or offer tailored to their segment
Each email: subject line, preview text, full body copy, and CTA.
**3. Win-Back Offer Matrix**
Table matching each segment to the right incentive:
- What offer to make (discount, free month, feature upgrade, dedicated onboarding)
- Maximum discount authority
- Expiration timeline for the offer
- Escalation path if the first offer doesn't convert
**4. Tracking Dashboard Spec**
Metrics to track: emails sent per segment, open rates, reply rates, reactivation rate, revenue recovered, cost per win-back, time-to-reactivation. Include target benchmarks.
**5. Disqualification Criteria**
Which churned customers should NOT be contacted (complained publicly, requested data deletion, churned due to fraud, etc.)
Format everything with clear headers, tables where appropriate, and make each email ready to copy into your email platform.Where to use it: Ideal for SaaS founders, subscription business operators, and retention marketers who want to systematically recover lost revenue from churned customers instead of only focusing on new acquisition.
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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)
Thanks for sharing 🙏 ☺️
Been running agents on local hardware for months and the sandboxed execution piece is what changes things. Failure modes are annoying to debug when environment contamination is hard to trace - a clean sandbox per run removes an entire class of problems.
The HasMCP approach is clever. Half the friction in building on top of Claude is the MCP setup. If that becomes a one-step conversion it opens up a lot of integration patterns.
Curious how people are handling state persistence across managed agent sessions. That's the messy part none of the demos show - what happens between calls when you need continuity.