^{AI SPOTLIGHT}
WATCH: Blue Origin's New Glenn Explosion

Blue Origin's New Glenn rocket exploded during a static fire test at Cape Canaveral while preparing for its fourth launch, marking the most serious setback in the company's history. The rocket was fully fueled ahead of a mission that was expected to carry Amazon's Leo internet satellites, resulting in one of the largest rocket explosions ever seen in the United States. While all personnel were reported safe, the incident comes just weeks after New Glenn's third mission failed to place a satellite into orbit due to an upper-stage malfunction. Blue Origin had planned up to 12 New Glenn launches this year and is expected to play a role in NASA's Artemis moon program as well as future Pentagon missions. The deeper thesis: competing with SpaceX requires more than capital and ambition—space remains one of the most technically demanding industries in the world, where even years of progress can be disrupted by a single failure.

Key Takeaways:

• Blue Origin's New Glenn rocket exploded during pre-launch testing ahead of its planned fourth mission

• The failure is likely to delay launch plans tied to Amazon's satellite network, NASA's Artemis program, and national security missions

• The incident highlights how difficult and unforgiving large-scale rocket development remains, even for well-funded competitors

👉️ Read the article here

Most AI agents demo well. Few ship real work.

Most AI agents can run a task. The problem is everything around it: setup, memory, context, cost, and figuring out what actually happened.

SureThing turns useful AI skills into autonomous agents with business context, persistent memory, cost-aware model selection, and a live dashboard. Paste a link, assign the work, and your agent reports back like a human teammate: what it did, what it cost, what needs your decision, and what happens next.

Built for founders, operators, and marketers who want AI to ship work, not become another tool to babysit.

Create Your Agent

^{AI SPOTLIGHT}
99% of CEOs Expect AI-Driven Job Cuts Within Two Years

A new Mercer survey of 825 C-suite leaders found that 99% expect AI to reduce headcount within the next two years, while 98% are planning organizational redesigns to adapt to automation. The pressure appears especially concentrated at the bottom of the career ladder, with a separate Oliver Wyman study showing the share of CEOs planning to reduce junior roles jumped from 17% to 43% in just one year. At the same time, many executives admit they are still figuring out how humans and AI should work together effectively, and some companies are struggling to prove a clear return on their AI investments. The deeper thesis: AI adoption is moving from experimentation to workforce restructuring, even as many organizations remain uncertain about how to capture its full value.

So what does that mean for you?

The message isn't that jobs are disappearing overnight—it's that work is being redesigned around AI. The workers who learn how to collaborate with AI tools will likely be better positioned than those who ignore them.

In practical terms, that means:

• Build AI fluency alongside your existing professional skills

• Focus on work that requires judgment, creativity, and decision-making

• Treat AI as a productivity partner rather than a competitor

👉️ Read the full article here

Escape vague AI side hustle advice.

Most “AI side hustle” content is useless.

It’s either vague motivation or overcomplicated theory nobody executes on.

The AI Income Playbook is different.

120 pages.
200 real income paths.
Each one structured around a simple principle:

Speed to execution beats perfect strategy.

You’ll find practical models for newsletters, micro-products, automation agencies, templates, niche research products, and other AI-enhanced businesses you can start without a team or massive audience.

You don’t need 200 ideas.
You need one that fits.

👉️ Download the Playbook

^{TODAY’S PROMPT}
The Interview That Reveals Your Next Digital Product

This mega-prompt acts like a digital product strategist, helping you uncover hidden expertise and transform it into a simple product you can create within 30 days. Through a guided interview, it builds your product concept, positioning, customer profile, build plan, and launch roadmap so you can stop guessing and start building.

👉️ See the example inputs and outputs here

Act as my Digital Product Strategist.

Your job is to help me identify, validate, and design a simple digital product I can realistically create and launch within the next 30 days.

You will NOT give me a complete answer immediately.

Instead, you will conduct an interactive interview and ask me ONE question at a time.

After each answer:
• Analyze what I shared
• Adapt your next question based on my response
• Dig deeper when needed
• Help uncover expertise, skills, experiences, frameworks, processes, templates, systems, or knowledge that could become a valuable product

Your goal is to identify a digital product that is:
• Useful
• Specific
• Easy to understand
• Fast to create
• Valuable to a defined audience
• Realistic to launch within 30 days

Focus on products such as:
• Templates
• Guides
• Playbooks
• Checklists
• Notion systems
• Swipe files
• Toolkits
• Prompt libraries
• Resource databases
• Workshops
• Mini-courses
• Digital downloads

Once the interview is complete, structure your response using the following sections:

## 1. WHAT YOU KNOW
List the facts, inputs, and information that are directly stated or clearly supported by my answers.

## 2. WHAT YOU ARE ASSUMING
List every assumption you are making to fill gaps, interpret intent, estimate demand, evaluate opportunities, or predict outcomes.

## 3. WHAT COULD BE WRONG
Identify weaknesses, uncertainties, missing context, market risks, execution risks, positioning risks, or reasons the recommendation may fail.

## 4. QUESTIONS THAT WOULD IMPROVE THE ANSWER
List the most important unanswered questions that would materially improve the recommendation.

## 5. PRODUCT OPPORTUNITY ANALYSIS
Evaluate the strongest product opportunities revealed during the interview.

For each opportunity include:
• Product concept
• Target audience
• Problem solved
• Ease of creation
• Speed to launch
• Monetization potential
• Advantages
• Risks

Rank the opportunities from strongest to weakest.

## 6. RECOMMENDED PRODUCT
Select the strongest opportunity and explain why it was chosen.

Include:
• Product name
• Core promise
• Unique positioning
• Main value proposition
• Why people would buy it

## 7. TARGET CUSTOMER SNAPSHOT
Provide:
• Who they are
• Biggest frustrations
• Desired outcomes
• Buying triggers
• Common objections

## 8. PRODUCT BUILD PLAN
Provide:
• Recommended format
• What to include
• What to exclude
• Required assets
• Step-by-step build plan
• Estimated completion timeline

## 9. LAUNCH CHECKLIST
Provide:
• Pre-launch actions
• Validation steps
• Launch-week actions
• Post-launch actions

## 10. FASTEST PATH TO FIRST SALE
Provide:
• Pricing recommendation
• Validation strategy
• Distribution channels
• Audience-building opportunities
• Promotion plan
• Quick-win opportunities

Important Rules:
• Ask only ONE question at a time
• Wait for my answer before continuing
• Adapt dynamically based on my responses
• Challenge vague answers with follow-up questions
• Separate facts from assumptions clearly
• Do not pretend certainty where uncertainty exists
• Prioritize speed, simplicity, and realistic execution
• Focus on products that can realistically be created within 30 days
• If information is missing, make the most reasonable assumption and state it clearly

Begin with your first interview question.

⚡️ Want to Build and Sell Prompts Like This?
Prompt Empire Builder shows you how to create, package, and monetize prompts that generate real income. Learn more

You don’t need another AI idea

You need something you can sell.

Prompt Empire Builder gives you:

• 300+ monetizable prompts

• A structure to turn them into products

• A system to track buyers and revenue

No theory. No fluff.

Just build something and get it live.

👉️ Get Prompt Empire Builder

^{AI QUICK HITS}

🤖 A mystery company reportedly burned through $500 million on Claude AI in a single month after forgetting to set usage limits, highlighting how quickly enterprise AI spending can spiral when adoption outpaces governance.

💸 Major exchanges are now exploring AI token futures markets, treating AI compute more like a tradable commodity as businesses look for ways to hedge against rising inference costs.

📈 Anthropic reportedly raised $65 billion at a $965 billion valuation, surpassing OpenAI and signaling that investor appetite for AI infrastructure remains enormous despite growing concerns about an AI bubble.

🧠 A new Wharton study found workers accepted incorrect AI answers 80% of the time, raising concerns that growing reliance on AI could quietly erode critical thinking and decision-making skills in the workplace

📊 Amazon scrapped an internal AI leaderboard after employees began "tokenmaxxing"—running unnecessary AI tasks to boost their rankings—showing that measuring AI usage is not the same as measuring productivity.`

^{AI TOOL STACK}

🔧 Brand24: Monitors socials, news, blogs, forums, and podcasts for your brand

🔧 amplemarket: All-in-one AI platform to boost rep performance and revenue.

🔧 Dust: Multiplayer AI for human-agent collaboration.

🔧 knowledgenet.ai: Find your target customers and boost efficiency by 20x.

🔧 Chatbase: Build and deploy AI support agents for your business.

Discover the AI tools I trust — organized, updated, and built to help you win.

👉 Explore the brand new Tool Database

🤔 ^{Which image is real?}

One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way.

The last edition’s results—62% were wrong!

Did you vote in the poll from May 29th? The bottom image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?

Learn AI in 5 minutes a day

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