^{AI MARKET PULSE}
Block’s AI Layoffs May Be a Preview of What’s Coming

After Block cut nearly half its workforce, including machine learning engineers once considered “future-proof,” one laid-off employee described the shift as less shocking than inevitable. CEO Jack Dorsey framed the move as structural, arguing that “intelligence tools” now allow significantly smaller teams to operate more efficiently — and warning that most companies will reach the same conclusion within a year. For employees who actively integrated AI into daily workflows, the irony was stark: the very tools that improved productivity also reduced the need for human oversight. While some critics argue Block simply overhired during the pandemic, the broader signal is harder to ignore. Startups are already launching with leaner AI-native teams, and large enterprises may follow in gradual waves of redesign and headcount compression. The deeper thesis: AI is not just augmenting work — it is redefining how much labor is required.

So what does that mean for you?
AI isn’t just replacing tasks — it’s reducing redundancy. The advantage belongs to professionals who move beyond execution into judgment, integration, and system design — and who diversify income streams to reduce single-employer risk:

• Build skills that supervise, design, or deploy AI systems
• Avoid roles defined purely by repeatable execution
• Develop parallel income or ownership leverage outside your employer

The signal is clear. AI-driven efficiency is beginning to compress even technical roles once thought immune to automation. Those who position themselves around oversight, strategy, and adaptability can preserve relevance and resilience, while those anchored solely to operational output may face growing long-term displacement risk.

👉️ Read the article here

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^{WORKFLOW BUILDER}
The Competitor Intelligence Radar

Goal: Transform the tedious chore of manual competitive research into an automated system that delivers a weekly summary of your rivals' moves.

Steps:

1. Identify Target Signals

   Define the specific competitors and keywords you need to track across the web.

   • Prompt ChatGPT: Write a list of 10 specific keywords and search queries I should track to monitor my competitors in the [Insert Niche] industry, focusing on new product launches and PR mentions.

   • ➡️ Next: Input these keywords into Brand24 or Browse AI to start the data scraping.

2. Extract Raw Intelligence

   Use a "scraping robot" to pull the latest updates from competitor blogs or social feeds.

   • Prompt ChatGPT: Write a 2-sentence instruction for an AI agent to visit [Competitor URL] every Monday and extract only the headlines of new blog posts or news releases.

   • ➡️ Next: Set a recurring "Task" in Browse AI to monitor those specific URLs.

3. Summarize the Weekly Noise

   Condense dozens of mentions and updates into a single, readable briefing.

   • Prompt ChatGPT: Summarize the following raw competitor data into 3 bullet points: Major Product Changes, Marketing Shifts, and Customer Pain Points.

   • ➡️ Next: Paste your weekly data export into ChatGPT for the summary.

4. Spot Market Gaps

   Analyze the competitor updates to find where they are failing and where you can win.

   • Prompt ChatGPT: Based on these recent competitor updates, identify 3 "content gaps" or service weaknesses where I can offer a better solution to [Target Audience].

   • ➡️ Next: Use these gaps to plan your next marketing campaign or product feature.

5. Generate a Response Strategy

   Create a quick action plan to counter-position your brand against their latest move.

   • Prompt ChatGPT: Write a 3-part email or social post strategy that highlights my brand’s unique advantage over the specific competitor update [Insert News].

   • ➡️ Next: Schedule your "counter-content" to go live while the competitor's news is still trending.

Pro Tip (Upgrade):
Use Brand24 to get real-time AI sentiment analysis. It doesn’t just tell you what they said; it tells you if the audience loved it or hated it, giving you the perfect opening to swoop in.

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AI Isn’t the Edge. Execution Is.

Most people are playing with AI.
Very few are using it to build income they control.

The AI Income Playbook gives you 200 practical, execution-ready income paths — clearly broken down so you can choose one and move.

No hype.
No theory loops.
No “someday.”

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^{TODAY’S PROMPT}
The Framework That Converts Knowledge Into Action

This mega-prompt operates like a strategic learning architect, converting any book you read into a structured execution plan built for real-world application. It transforms passive insights and scattered highlights into distilled principles, personalized takeaways, and prioritized action steps—cutting through vague summaries, eliminating intellectual fluff, and delivering practical clarity that turns knowledge into leverage without requiring a second read or major interpretation.

👉 Use the prompt + check out my example output here

Turn a Book Into Action Steps in One Prompt

CLEAR ASK

You are to act as a Strategic Learning Architect and Applied Execution Coach.

Your task is to:
• Summarize the core ideas of the specified book clearly and concisely  
• Extract the most actionable principles  
• Translate those principles into personalized action steps based on the user’s situation  
• Create a practical implementation plan that can be applied immediately  

The final output must be structured, practical, and execution-focused — not just a summary.


CONTEXT & PURPOSE

The purpose of this output is to:

• Save time by distilling the book into its highest-leverage ideas  
• Convert passive reading into active implementation  
• Eliminate vague inspiration and replace it with practical execution  
• Personalize insights so they directly apply to the user’s real-world goals  

This is NOT:
• A generic book report  
• A high-level philosophical summary  
• A list of quotes  
• Surface-level commentary  

This IS:
• A clarity tool  
• An execution engine  
• A practical roadmap  
• A bridge between knowledge and action  

Assume the reader values:
• Clear thinking  
• Practical leverage  
• Time efficiency  
• Immediate application  

DETAILED INPUT REQUIREMENTS (USER MUST FILL IN)

BOOK INFORMATION
• Book Title:
• Author:
• Primary Topic / Theme:
• Specific Areas of Interest (optional):

USER CONTEXT (CRITICAL FOR PERSONALIZATION)
• Current Role / Profession:
• Industry:
• Experience Level (Beginner / Intermediate / Advanced):
• Primary Goal Right Now:
• Secondary Goals (if any):
• Biggest Constraint (Time / Money / Skill / Clarity / Confidence / etc.):
• Biggest Frustration:
• Desired Outcome in 6–12 Months:

APPLICATION PREFERENCES
• Depth Level (High-Level / Tactical / Very Detailed):
• Implementation Timeline (7 days / 30 days / 90 days):
• Tone Preference (Analytical / Direct / Strategic / Motivational / Minimalist):
• Format Preference (Bullets / Step-by-Step / Hybrid):


OUTPUT REQUIREMENTS 

Your response must include:

EXECUTIVE SUMMARY (5–10 concise paragraphs)
- Core thesis of the book
- Major frameworks
- Central mental models
- What makes this book valuable
- What most readers misunderstand

5–10 HIGH-LEVERAGE PRINCIPLES
Each principle must include:
• Clear explanation  
• Why it matters  
• Common mistake people make  
• Real-world implication  

PERSONALIZED TAKEAWAYS
Translate the book’s lessons directly into the user’s situation:
• What applies immediately
• What should be ignored
• Where the biggest leverage lies
• What would create asymmetric upside

ACTION PLAN
Based on the selected timeline:
• Clear step-by-step plan
• Prioritized by ROI
• Designed around the user’s constraints
• No fluff steps
• No vague advice

RISK & BLIND SPOT CHECK
• Where this book’s ideas can fail
• Where over-application becomes dangerous
• What to watch for while implementing

FIRST 48-HOUR QUICK START
Provide 3–5 concrete actions the user can execute immediately.


ADDITIONAL INSTRUCTIONS 

You must:
• Eliminate generic phrasing
• Avoid motivational clichés
• Avoid vague advice
• Avoid filler commentary
• Avoid unnecessary quotes
• Extract practical insight
• Write clearly and concisely
• Make it feel custom-built for the user

If the book is ambiguous or unknown, ask clarifying questions before generating.

If user context is weak, request clarification before proceeding.

Prioritize application over admiration.


FINAL QUALITY CHECK (BEFORE DELIVERING)

Verify that:

✓ The summary is clear and structured  
✓ The principles are actionable  
✓ The plan fits the user’s constraints  
✓ The advice is personalized  
✓ The steps are immediately executable  
✓ No major revisions would be required  
✓ The output feels like a custom strategic brief  

The user should feel:

“I don’t just understand this book — I know exactly what to do with it.”  

⚡️ 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

Become An AI Expert In Just 5 Minutes

If you’re a decision maker at your company, you need to be on the bleeding edge of, well, everything. But before you go signing up for seminars, conferences, lunch ‘n learns, and all that jazz, just know there’s a far better (and simpler) way: Subscribing to The Deep View.

This daily newsletter condenses everything you need to know about the latest and greatest AI developments into a 5-minute read. Squeeze it into your morning coffee break and before you know it, you’ll be an expert too.

Subscribe right here. It’s totally free, wildly informative, and trusted by 600,000+ readers at Google, Meta, Microsoft, and beyond.

^{AI SPOTLIGHT}
OpenAI Pushes Toward Autonomous Agents With GPT-5.4

OpenAI has unveiled GPT-5.4, its latest flagship model that advances reasoning, coding, and professional task execution while introducing native computer-use capabilities. The model can operate applications, issue keyboard and mouse commands, and complete workflows across software environments — marking a clear step toward autonomous AI agents. GPT-5.4 also improves web browsing, multi-source research, and tool/API integration, with OpenAI calling it its most factual model yet, reducing individual claim errors by 33% compared to GPT-5.2. A dedicated “Thinking” version provides structured reasoning outlines within ChatGPT, while Pro and API variants target enterprise-grade performance. The release signals OpenAI’s accelerating shift from conversational AI toward agentic systems that can execute complex tasks with minimal human intervention.

Key Takeaways:

• GPT-5.4 introduces native computer-use capabilities for task automation
• The model improves web search, multi-step reasoning, and factual accuracy
• OpenAI is advancing toward agentic AI systems that act autonomously

👉️ Read the full article here

^{AI QUICK HITS}

🧬 AWS has launched Amazon Connect Health, a HIPAA-eligible AI agent platform designed to automate healthcare administrative tasks like scheduling, documentation, and patient verification, signaling a deeper push into AI-powered clinical workflow automation within the $5 trillion healthcare market.

⚡️ Luma has launched Luma Agents, powered by its new Unified Intelligence models, to coordinate multiple AI systems and generate end-to-end creative campaigns across text, images, video, and audio — aiming to replace fragmented prompting workflows with a persistent, self-improving agent platform for agencies and brands

🤖 Researchers from Amazon and UC Berkeley have developed a framework called Perceptive Humanoid Parkour that enables humanoid robots to autonomously run, vault, climb, and traverse complex obstacle courses using vision-based decision-making and reinforcement learning trained on human parkour movements

🤔 ^{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—63% were right!

Did you vote in the poll from March 5th? The top image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?

How Jennifer Anniston’s LolaVie brand grew sales 40% with CTV ads

For its first CTV campaign, Jennifer Aniston’s DTC haircare brand LolaVie had a few non-negotiables. The campaign had to be simple. It had to demonstrate measurable impact. And it had to be full-funnel.

LolaVie used Roku Ads Manager to test and optimize creatives — reaching millions of potential customers at all stages of their purchase journeys. Roku Ads Manager helped the brand convey LolaVie’s playful voice while helping drive omnichannel sales across both ecommerce and retail touchpoints.

The campaign included an Action Ad overlay that let viewers shop directly from their TVs by clicking OK on their Roku remote. This guided them to the website to buy LolaVie products.

Discover how Roku Ads Manager helped LolaVie drive big sales and customer growth with self-serve TV ads.

The DTC beauty category is crowded. To break through, Jennifer Anniston’s brand LolaVie, worked with Roku Ads Manager to easily set up, test, and optimize CTV ad creatives. The campaign helped drive a big lift in sales and customer growth, helping LolaVie break through in the crowded beauty category.

Learn more.