^{AI MARKET PULSE}
Salesforce Cut $100M in Costs With AI—Now It’s Using It to Generate Revenue

Salesforce has already used AI agents to handle over 3 million customer support conversations, reducing case volume by 8% and cutting $100 million in annual costs. But the bigger shift is happening now: the company is using those same AI systems to generate revenue. By deploying agents to engage previously ignored “sawdust” leads—low-priority prospects that sales teams didn’t have time to pursue—Salesforce is turning dormant demand into active pipeline. The result is a shift from AI as a cost-cutting tool to AI as a growth engine. The deeper thesis: AI is moving from efficiency gains to revenue creation—and that’s where the real value is starting to show up.

So what does that mean for you?

The takeaway is simple: using AI just to save time is no longer enough. The bigger opportunity is using it to create new opportunities that didn’t exist before.

In practical terms, that means:

• Use AI to follow up on leads or opportunities you currently ignore
• Look for “untouched” parts of your business where AI can operate at scale
• Focus on systems that generate output (leads, content, revenue), not just efficiency

👉️ Read the article here

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^{WORKFLOW BUILDER}
The Solo Founder Dashboard

Goal: Create a simple operating dashboard that tracks your leads, content output, conversions, and revenue signals so you can run your business like a system—not a guessing game.

Steps:

1. Define Your Core Metrics
   Decide what actually matters so you don’t track noise. Keep it lean and tied to growth.

   • Prompt ChatGPT: Act as a business operator. Based on a solo founder running a [business model], list the 8–10 most important weekly metrics to track across leads, content, conversions, and revenue.

   ➡️ Next: Choose 6–8 metrics max (example: leads, replies, calls booked, clients closed, posts published).

2. Build a Simple Dashboard in Google Sheets
   Create one clean sheet with columns for each metric and rows for each day.

   • Prompt ChatGPT: Design a simple Google Sheets dashboard structure to track these metrics: [list metrics]. Include column headers, example rows, and how to organize daily vs weekly tracking.

   ➡️ Next: Build the sheet manually in under 10 minutes.

3. Create a Daily Logging System
   Make updating the dashboard frictionless so you actually use it.

   • Prompt ChatGPT: Create a simple daily logging checklist for tracking business metrics in under 5 minutes per day for a solo founder.

   ➡️ Next: Save this checklist and use it at the same time every day.

4. Add Conversion Tracking
   Track how activity turns into results so you know what’s working.

   • Prompt ChatGPT: Based on these metrics: [list metrics], calculate key conversion rates I should track (e.g., lead → call, call → client) and show simple formulas I can use in Google Sheets.

   ➡️ Next: Add 2–3 conversion formulas to your sheet.

5. Run a Weekly Review System
   Turn data into decisions so you improve every week.

   • Prompt ChatGPT: Act as a growth advisor. Based on these weekly numbers: [paste sample metrics], analyze what’s working, what’s not, and give 3 specific actions to improve next week.

   ➡️ Next: Block 30 minutes weekly to review and adjust.

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^{TODAY’S PROMPT}
Build Your One-Person Business Stack

This mega-prompt acts like a solo founder systems strategist, turning your business model, skills, and budget into a complete AI-powered operating stack. It builds your core tool stack, automation layer, revenue layer, distribution system, and analytics setup so you can run a lean business with more leverage and less guesswork.

👉 Use the prompt + check out my example output here

Act as an expert solo business strategist and AI systems operator.

Your job is to design a complete one-person business stack for me based on my business model, skills, goals, time constraints, and budget. Build a practical, lean, AI-powered operating system I can start using immediately.

I want you to think like a founder-operator who understands modern solopreneur businesses, automation, audience growth, monetization, and simple tech stacks. Recommend the fewest tools necessary to create a system that is efficient, modular, and realistic for one person to manage.

If anything is missing, make the most reasonable assumption and state it briefly before the plan.

## INPUTS

### Business Overview
• Business model: [Describe the type of business I run or want to start]
• What I sell or want to sell: [Offer, product, service, subscription, digital product, etc.]
• Target audience: [Who I serve]
• Current stage: [Idea stage / validating / early traction / established]
• Main goal for the next 90 days: [Revenue, audience growth, product launch, lead generation, etc.]

### Founder Profile
• My core skills: [List skills]
• My weak spots: [List weak spots]
• My available time per week: [X hours]
• My comfort level with tech: [Beginner / intermediate / advanced]

### Constraints
• Monthly tool budget: [$X]
• Current audience size: [Email list size / followers / none]
• Preferred channels: [Email / LinkedIn / X / YouTube / SEO / paid ads / referrals / other]
• Tools I already use: [List current tools]
• Tools I want to avoid: [List tools or categories]
• Business priorities: [Simplicity / speed / low cost / growth / automation / premium brand / other]

## TASK

Create a complete one-person business stack for me.

## OUTPUT

1. **Business Stack Recommendation**
   • Briefly explain the best operating model for my business as a one-person company
   • Explain the logic behind the stack you chose

2. **Core Stack Architecture**
   Organize the stack into these 6 layers:
   • Foundation and presence
   • AI brain and planning
   • Automation and workflow execution
   • Revenue and payments
   • Distribution and audience growth
   • Analytics and performance tracking

   For each layer, include:
   • Recommended tool
   • Why it fits
   • What role it replaces or simplifies
   • Lower-cost alternative if relevant

3. **Lean Tool List**
   Give me a final recommended stack with:
   • Essential tools only
   • Nice-to-have tools later
   • Estimated monthly cost range
   • Which tools I should start with first

4. **Weekly Operating System**
   Design a simple weekly workflow for how I should run this business in 5 parts:
   • Planning
   • Creation
   • Automation
   • Distribution
   • Review

   Keep it realistic for one person.

5. **Top 5 Automations to Build First**
   Recommend the first 5 automations or AI workflows I should set up.
   For each one, include:
   • Trigger
   • Action
   • Outcome
   • Why it matters

6. **Biggest Bottlenecks**
   Identify the 3 biggest likely bottlenecks in this business model.
   For each one, explain:
   • Why it will slow me down
   • How to reduce it using systems, AI, or better process design

7. **90-Day Execution Plan**
   Break the next 90 days into:
   • Days 1–30
   • Days 31–60
   • Days 61–90

   Focus on what to build first, what to automate next, and how to improve distribution over time.

8. **Simple Rules for Staying Lean**
   Give me 5 operating rules to help me avoid overcomplicating the stack, overspending on tools, or building unnecessary systems too early.

## QUALITY BAR

Make the plan practical, specific, and beginner-friendly.
Do not overload me with too many tools.
Prefer modular systems over bloated all-in-one platforms unless there is a strong reason not to.
Optimize for leverage, speed, and clarity.
Use short sections, bullets, and plain English.

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^{AI SPOTLIGHT}
Rising Anti-AI Sentiment Is Starting to Spill Into the Real World

Anti-AI sentiment is growing rapidly—and in some cases, turning into real-world incidents. A recent attack targeting OpenAI CEO Sam Altman’s home, along with additional arrests tied to nearby violence, highlights how tensions around AI are escalating. Public opinion data shows the shift clearly: only 26% of voters now hold positive views of AI, while 46% view it negatively. Concerns range from job displacement and environmental impact to fears around safety and long-term risks. Notably, even AI companies themselves have contributed to this perception by repeatedly emphasizing the technology’s dangers. The deeper thesis: the gap between how the AI industry views its progress and how the public perceives its impact is widening—and that trust gap could shape how AI evolves next.

Key Takeaways:

• Public sentiment toward AI is turning negative, with more people expressing concern than optimism
• Real-world incidents tied to anti-AI beliefs suggest tensions are escalating beyond online debate
• Trust, perception, and communication may become as important as technical progress in AI adoption

👉️ Read the full article here

^{AI QUICK HITS}

🚨 A tech CEO behind AI startup iLearning has been indicted after the Justice Department alleged the company fabricated nearly all of its $420M in reported revenue, highlighting how investor hype around AI is being exploited.

💰 AI coding startup Cursor is reportedly raising $2B+ at a $50B valuation as revenue surges toward a projected $6B run rate, showing how quickly demand for developer-focused AI tools is scaling.

🧬 An experimental drug called elraglusib doubled one-year survival rates in pancreatic cancer patients, offering a rare breakthrough for one of the deadliest forms of the disease.

🤔 ^{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—66% were right!

Did you vote in the poll from April 18th? 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?

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