1,000+ Claude Prompts Top Professionals Actually Use at Work

Claude can be your analyst, editor, and strategist.

But most professionals are using it to fix grammar.

These 1,000+ Claude prompts take it from grammar tool to your most powerful AI work assistant.

Sign up for Superhuman AI and get:

• 1,000+ ready-to-use Claude prompts to get real work done in minutes — researched, tested, and used by professionals at Google, Microsoft, and NASA

• Superhuman AI newsletter (4 min daily) so you keep learning new AI tools and skills to stay ahead in your career — the prompts are just the beginning

Claim your free prompts

Hello There!

SpaceX started machining its own turbine blades because the queue for AI’s power equipment now runs into 2030, which means the rocket company is quietly turning into an energy company. Meta put its new image model on the API at a penny a picture, which means the cost of a visual just dropped below the cost of the meeting about the visual. And ASUS reorganized itself around humanoid robots and factory AI, which means the company that sold you a laptop now wants to staff your production line.

Here’s what’s making headlines in the world of AI and innovation today.

In today’s AI Pulse

• ⚙️ SpaceX Makes Blades – Musk’s fix for AI’s power crunch is a turbine blade factory.

• 🎨 Meta Drops the Price – Its new image model runs one cent a picture.

• 🤖 ASUS Bets on Robots – The PC maker reorganizes itself around physical AI.

• ⚡ Quick Hits – IN AI TODAY

• 🛠️ Tool to Sharpen Your Skills – 🎓 AIGPE® Certified JIT Specialist

The coming years won’t just transform technology; they’ll reshape your home, your family life, and the control you have online.

Make It Make Sense

You've felt it. Skimming a headline and understanding nothing. Morning Brew fixes that: news explained like a smart friend would, minus the boring parts.

See why it’s the go-to for over 4 million people daily. Takes just 15 seconds to sign up.

Check it out

⚙️ Musk Is Manufacturing AI’s Power Bottleneck Himself

🧠 The Pulse

SpaceX has started manufacturing turbine blades and vanes in-house, the hardest components in a gas turbine to build. A single batch normally takes 60 to 90 weeks, and the order queue for the portable generators now powering AI data centers stretches into 2030. Building them itself could pull deliveries forward by roughly 18 months.

📌 The Download

• The real bottleneck – Blades and vanes are the choke point in jet engine and generator production, with one batch running 60 to 90 weeks.

• Eighteen months back – In-house production could cut generator delivery times by about 18 months against a queue that otherwise runs into 2030.

• Why AI needs it – Operators are buying portable gas turbines to skip multi-year grid connection waits; Musk already spent roughly $1 billion on a turbine fleet, including for Colossus in Memphis.

• Gas as a bridge – Musk says natural gas is still needed to “supplement and bootstrap solar” for several years, while SpaceX and Tesla each build toward 100GW a year of solar production.

💡 What This Means for You

This is Theory of Constraints at national scale. When the constraint moved from chips to power equipment, the answer was to own the constraint outright. Look at your own value stream the same way: the step everyone queues behind is the one worth insourcing, not the step that is easiest to optimize.

🎨 Meta Just Made AI Images Cost One Cent

🧠 The Pulse

Meta has put Muse Image, the first image model from its Superintelligence Labs, on the Meta Model API at $0.01 per image. It is billed as a reasoning model that plans a layout before it draws, and it holds composition steady across edits, so revising one element no longer restarts the whole picture.

📌 The Download

• A cent an image – Muse Image is listed at $0.01 per image on the Meta Model API, undercutting most frontier image models on posted price.

• It plans before it draws – Meta describes Muse Image as a reasoning model that works out layout first rather than generating in a single pass.

• Edits stay anchored – Anchored composition keeps the rest of the frame stable when you change one element, making iteration predictable instead of a re-roll.

• Built for builders – It ships through Meta’s developer API alongside the wider Muse line, aimed at teams generating images at volume rather than one-offs.

💡 What This Means for You

Image generation has stopped being a budget line. At a cent a shot, the constraint moves from cost to control: who checks brand accuracy, who approves, who catches the errors. Build that review step into the process now, before your team ships a thousand images nobody actually signed off on.

🤖 ASUS Is Building a Business Around Physical AI

🧠 The Pulse

ASUS has folded its AIoT unit into a new Physical AI Solutions Business Group, putting humanoid robots and factory-floor AI at the center of the company as it shifts away from contract electronics manufacturing. It follows the chairman’s decision to go all in on AI and stop launching new smartphones.

📌 The Download

• A new business group – The AIoT Business Group has been rebranded as the Physical AI Solutions Business Group, with humanoid robots named as a strategic focus.

• Phones are out – ASUS has confirmed it will stop releasing new Zenfone and ROG handsets, redirecting resources into AI, servers and robotics.

• The kit is already shipping – Its PE3000N industrial edge computer runs NVIDIA Jetson Thor, alongside AISVision recognition and InsightOne sensor-fusion products for factories.

• The prize it is chasing – ASUS points at a physical AI market that Future Market Insights sizes at $383 billion in 2026, reaching $3.25 trillion by 2040.

💡 What This Means for You

When a PC maker restructures itself around robots, physical AI has left the demo stage. The near-term change on your floor is not a humanoid, it is edge AI on the line: vision inspection, sensor fusion, scheduling. Pick one high-defect process and scope what continuous machine vision would actually catch.

Winning Startups Aren't Bigger. They're Leaner.

Founders deploying AI agents across sales, marketing, and customer service are closing more with smaller teams. 65% more sales leads. Less headcount.

Download the free Practical Guide to Agentic GTM for Startups and start building the stack your competitors dream of.

Get the Free Playbook

IN AI TODAY - QUICK HITS

⚡Quick Hits (60‑Second News Sprint)

Short, sharp updates to keep your finger on the AI pulse.

• 🖼️ OpenAI Just Switched Off DALL·E’s Dedicated GPT: OpenAI retired the official DALL·E GPT on August 30, folding image generation into ChatGPT Images for every tier and urging users to download anything they wanted to keep. User-built GPTs with image generation are unaffected, and it follows the recent shutdowns of o3 and Atlas.

• ⚖️ Music Giants Just Put Claude’s Training Data on Trial: Universal, Concord and ABKCO filed an amended complaint against Anthropic built on internal discovery, alleging staff tested Claude’s lyric reproduction and stripped copyright notices as “useless junk,” seeking up to $150,000 per work across roughly 500 songs.

📈Improve Processes. Drive Results. Get Certified.

👩‍🎓 AIGPE® Certified JIT Specialist

Learn the principles of Just-In-Time (JIT) to reduce waste, optimize inventory, improve workflow, and increase operational efficiency using Lean best practices.

Enroll Now

🙌 About Us

AI Pulse is the official newsletter of AIGPE®. Our mission: help professionals master Lean, Six Sigma, Project Management, and now AI, so you can deliver breakthroughs that stick.

Love this edition? Share it with one colleague and multiply the impact.
Have feedback? Hit reply, we read every note.

See you next week,
Team AIGPE^®