☕🤖 Claude Opus 4.7 Is Here! Anthropic Just Dropped Its Best Model Yet

[[{“value”:”

Hey fam 👋 Luis & Rui here with your Monday AI coffee break.

Huge week in AI land: Anthropic shipped Claude Opus 4.7 (and a brand-new design tool), OpenAI’s Codex can now quietly run your whole computer, and Canva teamed up with Anthropic to turn prompts into on-brand visuals.

Oh, and OpenAI lost two of its biggest product leaders in the same week. 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.

No coding background needed. Over 1,200 people have already signed up.

If you’ve been curious about Claude Code but didn’t know where to start, this is it.

Watch Now

AI News around the world 🌍

🧠 Anthropic released Claude Opus 4.7 with major gains in coding, reasoning, and vision while keeping the same pricing as Opus 4.6. (continue reading)

💻 OpenAI upgraded Codex to control your entire computer, browse the web, generate images, and run multiple background agents in parallel. (continue reading)

🎨 Anthropic Labs launched Claude Design, letting anyone generate on-brand slides, prototypes, and one-pagers through conversation with Opus 4.7. (continue reading)

🖌️ Canva and Anthropic launched Claude Design on Canva’s engine, turning text prompts into fully editable, on-brand visuals without opening Canva. (continue reading)

👋 OpenAI’s product chief Kevin Weil and Sora head Bill Peebles exited as the company shuts down consumer side quests to refocus on enterprise. (continue reading)

Trending AI Tools 🛠

💰 LTVX.ai: Predicts customer lifetime value at first interaction and auto-triggers upsells and churn prevention so merchants grow revenue without building ML pipelines in-house.

🛠️ Lanes: A macOS workspace for running parallel AI coding agents like Claude Code, Codex, and Gemini CLI, each in its own isolated git worktree with resumable sessions.

✉️ Professionally: Instantly rewrites emails across Outlook, Gmail, and iOS with tone, grammar, and clarity controls, plus custom tones and one-click replies for faster inbox work.

🎙️ Vocallab AI: Neural text-to-speech and voice cloning platform with 300+ studio-quality voices across 15+ languages, plus karaoke captions and SRT exports for creators.

Tutorials 📝

Career & Capital 💼

AI Job Board

• 🧠 Microsoft: Senior/Principal Software Engineer, Applied AI (Threat Protection) – $119,800 to $304,200 (view job)

• ⚡ Johnson Controls: Principal Embedded Edge AI Engineer – $110,000 to $164,000 (view job)

• ☁️ Microsoft: Principal Cloud Solution Architect, Cloud & AI (Federal) – $130,900 to $272,300 (view job)

Investments in AI

• 💰 Gizmo: Raised $22M Series A to expand its U.S. college market after hitting 13 million users on its AI learning app. (link)

• 🤝 American Express: Acquired Hyper, an AI expense management startup backed by Sam Altman, with the deal expected to close in Q2 2026. (link)

• 🏦 Nava: Raised $8.3M seed co-led by Polychain and Archetype to build AI financial agents with built-in safety guardrails. (link)

Prompt of the Week 🧠

Hiring Decisions → Turn messy interview notes into a structured hire/no-hire scorecard.

Most founders make hiring calls on gut feel and end up regretting it 90 days in. Feed your raw interview notes into this prompt and get back a structured scorecard, risk flags, and a clear recommendation you can defend to your team.

Prompt:

You are a senior talent operator who has made 500+ hiring decisions across early-stage startups. Your job is to convert my raw interview notes into a rigorous, structured hire/no-hire evaluation that I can share with my team and refer back to in 6 months.

INPUTS (I will paste below):
- Role title and seniority level: [paste]
- Top 3 outcomes this hire needs to deliver in the first 6 months: [paste]
- Raw interview notes from all rounds (screen, technical, culture, founder): [paste]
- Reference check summaries (if any): [paste]
- Compensation range and my ceiling: [paste]

PROCESS (do all of this, in order):

1) SIGNAL EXTRACTION
   Re-read the notes and extract every concrete signal (positive and negative) tagged by round. A signal is a specific observable (a quote, a project result, a reaction, a question they asked). Minimum 12 signals total.

2) SCORECARD (1-5 scale, with evidence)
   Score the candidate across these 6 dimensions, citing at least 2 signals per score:
   - Outcome fit (can they deliver the 3 target outcomes?)
   - Domain depth (do they actually know the craft?)
   - Judgment under ambiguity
   - Ownership and drive
   - Communication and collaboration style
   - Culture add (not just "fit" but what they bring that's missing)
   For each dimension: score, 2-sentence rationale, supporting signal IDs.

3) RISK FLAGS
   List every risk that could cause this hire to fail in months 3, 6, or 12. For each: severity (low/medium/high), early warning sign to watch for, and one mitigation you can put in place before day 1.

4) REFERENCE CHECK GAPS
   List the 3 most important things you'd still verify in a back-channel reference, with the exact question to ask.

5) RECOMMENDATION
   - Verdict: HIRE / NO HIRE / HIRE WITH CONDITIONS
   - 3-sentence rationale a non-technical cofounder would understand
   - If HIRE: suggested offer strategy (where to land in the range and why), plus the one sentence to include in the offer email that will make them say yes
   - If NO HIRE: the kindest, clearest rejection message (4 sentences max, no platitudes)
   - If CONDITIONS: the 2-3 concrete conditions (paid trial, specific 30-day goal, reference verification) before committing

TONE: Direct, evidence-based, zero hedging. If the notes are thin, say so explicitly and list what I should probe in a follow-up round instead of faking confidence.

Where to use it: Founders, hiring managers, and ops leads making any key hire — especially first engineers, first sales reps, or operator-level roles where gut calls cost 6 figures when they go wrong. Works just as well for contractor evaluations and internal promotion decisions.

📮 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

🧁 Free Claude Code Masterclass → We broke down exactly how to use Claude Code from scratch. No coding background needed. Over 1,200 people have already signed up. Get free access now. Join the Masterclass

📣 Sponsor Us → Put your brand in front of 95,000+ founders and professionals. Work with us

🙌 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)

Share

“}]] Read More in  The AI Break