You’re reading Excellent AI Prompts. AI prompts, frameworks, and workflows for professionals who use AI to earn more, think sharper, and live better. Copy them, use them, and build with them. Subscribe for the full archive, or grab individual systems at the Excellent AI Prompts.

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In This Issue• The Big Idea

• What You’ll Audit

• Before You Start

• Question 1: Who Pays You, and Can They Keep Paying?

• Prompt 1: Map Your Income Concentration

• Prompt 2: Stress-Test Your Liquidity

• Prompt 3: Design One Second Income Stream

• Question 2: Who Pays Them, and Does Anyone Still Need What You Do?

• Prompt 4: Trace Your Payer’s Demand Chain

• Prompt 5: Classify Your Tasks by the Expertise Framework

• Prompt 6: Run the Disintermediation Test

• Question 3: What Happens to the Money After It Reaches You?

• Prompt 7: Ship the Capital-Side Hedge

• Prompt 8: Audit Your Own Demand Footprint

• The Point of All of This

• PS: Six Agents to Run After the Audit

The Big IdeaMost career and business advice right now tells you to learn prompt and context engineering, adopt AI agent workflows, pick up a new skill, and lean in to your human-only skills and strengths. You probably did some of it. You still don’t know if you’re actually safer, because that advice treats your income as a supply-side question when the real risk sits on the demand side.

Demand-side logic is a simple economic idea. Output depends on who can afford to buy it. Henry Ford doubled wages to $5 a day in 1914 because he understood that workers who couldn’t afford a Model T weren’t customers.

Dambisa Moyo made the macro version of that argument in a recent Fortune interview, warning that jobless AI growth threatens the consumer class every business depends on. The personal version of her question is deeper.

Whose payroll do you depend on, and is their customer base about to evaporate?

Your income doesn't exist until someone else spends. Revenue is the source; income is just what's left after the economy takes its cut. If you have a job, that revenue belongs to your employer. If you freelance, it belongs to your clients. If you sell products, it depends on whether your customers can keep buying. That asset is shifting structurally right now, and the shift moves faster than most people’s budgets.

This audit walks through three demand-side questions across eight prompts and gives you a clear map of where you’re exposed and where to move first.

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What You’ll Audit• Who pays you, and can they keep paying?

• Who pays them, and does anyone still need what you do?

• What happens to the money after it reaches you?

Before You StartEach prompt below interviews you before it analyzes. You paste the prompt, the AI asks for the specific information it needs one question at a time, you answer, then it runs the analysis. No forms, no placeholders.

On calculation. Four of these prompts do arithmetic. Percent of income, dollar gaps, monthly savings rates, spending splits. The math is simple enough that any current model can handle it, but you should still paste your real numbers and tell the model to show its work so you can spot-check. If your AI tool runs code (Claude with analysis tools, ChatGPT with Python), it should execute the math rather than reason through it, which is more reliable on the back-solve in Prompt 2. Always verify.

On privacy. Several prompts ask for real financial data. Anything involving your actual income, expenses, or assets should run through a local model like Jan.ai or Ollama with the strongest model your machine can handle, so your numbers stay on your device. If you’re running the audit through a cloud-hosted AI, substitute percentage approximations rather than real dollars. The demand-side logic still works, and your real numbers stay with you.

Question 1: Who Pays You, and Can They Keep Paying?These three prompts map your income structure today and the runway you’d have if it broke. The goal is to see the math clearly, stop telling yourself comforting stories about diversification, and build the one second stream that actually reduces your dependency on the current payer.

Prompt 1: Map Your Income ConcentrationWhat this audits. The real structure of who pays you, not the story you tell yourself about being “diversified.” Most people count sources (one job, three clients, a side project) and assume distribution means safety. Distribution isn’t the same thing as safety. What matters is the share of total income each source represents and how quickly each could disappear.

Why it matters. Concentration risk and demand risk are the same thing wearing different labels. A 500-person employer is still one payer. Three clients in the same industry is still one industry. If 80% of your income comes from sources that could collapse together, your “portfolio” is a single bet. I like this audit because it forces you to see things clearly, often for the first time.

How to use the output. Flag anything above 30% of total income. That’s a single point of failure and it deserves a contingency plan. If the model surfaces a source you’ve been treating as rock-solid, write down what specifically would have to happen for it to disappear and how long you’d have, hypothetically, before the gap hit your bank account.

Prompt:

You’re reading Excellent AI Prompts. AI prompts, frameworks, and workflows for professionals who use AI to earn more, think sharper, and live better. Copy them, use them, and build with them. Subscribe for the full archive, or grab individual systems at the Excellent AI Prompts.

In This Issue

• The Big Idea

• What You’ll Audit

• Before You Start

• Question 1: Who Pays You, and Can They Keep Paying?

  • Prompt 1: Map Your Income Concentration

  • Prompt 2: Stress-Test Your Liquidity

  • Prompt 3: Design One Second Income Stream

• Question 2: Who Pays Them, and Does Anyone Still Need What You Do?

  • Prompt 4: Trace Your Payer’s Demand Chain

  • Prompt 5: Classify Your Tasks by the Expertise Framework

  • Prompt 6: Run the Disintermediation Test

• Question 3: What Happens to the Money After It Reaches You?

  • Prompt 7: Ship the Capital-Side Hedge

  • Prompt 8: Audit Your Own Demand Footprint

• The Point of All of This

• PS: Six Agents to Run After the Audit

The Big Idea

Most career and business advice right now tells you to learn prompt and context engineering, adopt AI agent workflows, pick up a new skill, and lean in to your human-only skills and strengths. You probably did some of it. You still don’t know if you’re actually safer, because that advice treats your income as a supply-side question when the real risk sits on the demand side.

Demand-side logic is a simple economic idea. Output depends on who can afford to buy it. Henry Ford doubled wages to $5 a day in 1914 because he understood that workers who couldn’t afford a Model T weren’t customers.

Dambisa Moyo made the macro version of that argument in a recent Fortune interview, warning that jobless AI growth threatens the consumer class every business depends on. The personal version of her question is deeper.

Whose payroll do you depend on, and is their customer base about to evaporate?

Your income doesn't exist until someone else spends. Revenue is the source; income is just what's left after the economy takes its cut. If you have a job, that revenue belongs to your employer. If you freelance, it belongs to your clients. If you sell products, it depends on whether your customers can keep buying. That asset is shifting structurally right now, and the shift moves faster than most people’s budgets.

This audit walks through three demand-side questions across eight prompts and gives you a clear map of where you’re exposed and where to move first.

Share Excellent AI Prompts

What You’ll Audit

1. Who pays you, and can they keep paying?

2. Who pays them, and does anyone still need what you do?

3. What happens to the money after it reaches you?

Before You Start

Each prompt below interviews you before it analyzes. You paste the prompt, the AI asks for the specific information it needs one question at a time, you answer, then it runs the analysis. No forms, no placeholders.

On calculation. Four of these prompts do arithmetic. Percent of income, dollar gaps, monthly savings rates, spending splits. The math is simple enough that any current model can handle it, but you should still paste your real numbers and tell the model to show its work so you can spot-check. If your AI tool runs code (Claude with analysis tools, ChatGPT with Python), it should execute the math rather than reason through it, which is more reliable on the back-solve in Prompt 2. Always verify.

On privacy. Several prompts ask for real financial data. Anything involving your actual income, expenses, or assets should run through a local model like Jan.ai or Ollama with the strongest model your machine can handle, so your numbers stay on your device. If you’re running the audit through a cloud-hosted AI, substitute percentage approximations rather than real dollars. The demand-side logic still works, and your real numbers stay with you.

Question 1: Who Pays You, and Can They Keep Paying?

These three prompts map your income structure today and the runway you’d have if it broke. The goal is to see the math clearly, stop telling yourself comforting stories about diversification, and build the one second stream that actually reduces your dependency on the current payer.

Prompt 1: Map Your Income Concentration

What this audits. The real structure of who pays you, not the story you tell yourself about being “diversified.” Most people count sources (one job, three clients, a side project) and assume distribution means safety. Distribution isn’t the same thing as safety. What matters is the share of total income each source represents and how quickly each could disappear.

Why it matters. Concentration risk and demand risk are the same thing wearing different labels. A 500-person employer is still one payer. Three clients in the same industry is still one industry. If 80% of your income comes from sources that could collapse together, your “portfolio” is a single bet. I like this audit because it forces you to see things clearly, often for the first time.

How to use the output. Flag anything above 30% of total income. That’s a single point of failure and it deserves a contingency plan. If the model surfaces a source you’ve been treating as rock-solid, write down what specifically would have to happen for it to disappear and how long you’d have, hypothetically, before the gap hit your bank account.

Prompt: