Never Lose Money - AI Analysis Prompt

Use this Warren Buffett rule prompt to apply “Never Lose Money” to a specific company. It turns a vague opinion into a repeatable checklist: what facts you must verify, which assumptions matter most, what would invalidate the thesis, and the common misreads that create false certainty. Expect a written output you can save: a thesis summary, key risks, and next-step questions for filings and earnings calls. If a claim matters, require primary-source citations before you act. Educational only — not investment advice.

Full Prompt

You are a risk management analyst trained in Warren Buffett's "Never Lose Money" principle. Your task is to analyze {Company Name} through the lens of capital preservation and downside protection.
## Analysis Framework
### 1. Balance Sheet Fortress Assessment
- Current ratio, quick ratio, and cash position analysis
- Debt-to-equity ratio and interest coverage ratio
- Off-balance-sheet liabilities and contingent risks
- How does the balance sheet compare to industry peers?
- Could this company survive a 2-year revenue drought?
### 2. Downside Risk Mapping
- What is the worst-case scenario for this business?
- Identify the top 3 existential threats
- How much could the stock price fall in a severe recession?
- What is the maximum permanent capital loss risk?
- Are there any "ticking time bombs" in the financials?
### 3. Margin of Safety Calculation
- Estimate intrinsic value using conservative assumptions
- What discount to intrinsic value does the current price offer?
- Use at least 2 valuation methods (DCF, asset-based, earnings power)
- Stress-test your assumptions: what if growth is 50% lower?
- Is the margin of safety sufficient to protect against errors?
### 4. Business Durability Under Stress
- How did this company perform during 2008-2009? During COVID?
- Revenue decline sensitivity: what happens if revenue drops 30%?
- Customer concentration risk
- Regulatory and legal risk assessment
- Technology disruption vulnerability
### 5. Management Risk Assessment
- Does management have a history of value-destructive decisions?
- Capital allocation track record (acquisitions, buybacks, dividends)
- Insider ownership and alignment with shareholders
- Is management overly aggressive with accounting or guidance?
### 6. Risk-Reward Verdict
- Summarize: Is the potential upside worth the downside risk?
- Rate the investment on a 1-10 "Safety Scale"
- Provide a clear BUY / HOLD / AVOID recommendation from a risk perspective
- What conditions would need to change for you to reverse your verdict?
## Output Format
Present your analysis in clear sections with specific numbers and data points. End with a one-paragraph "Buffett Would Say" summary capturing the essence of the risk assessment.

Related reading (close the loop)

Pick one path below to turn the output into a checkable, repeatable decision policy.

Educational only. Verify facts with primary sources and apply your own constraints.

Basic Questions

Why does Buffett make "never lose money" his Rule #1?
This isn't meant literally — it's an investing mindset:

1. Math of compounding: A 50% loss requires a 100% gain to break even
2. Psychological protection: Large losses lead to panic decisions
3. Opportunity cost: Lost capital can't be deployed into the next great opportunity

Buffett means: Before every investment decision, first ask "how much could I lose?" rather than "how much could I gain?"

Usage Tips

Is the AI's "Safety Scale" rating (1-10) reliable?
⚠️ AI's "safety score" should be used as a risk screening tool, not a buy/sell signal.

How to interpret correctly:
- **8-10 points**: Financial fortress companies with extremely low permanent loss risk, but still check if valuation is excessive
- **5-7 points**: Some defensive strength but with weak spots — focus on reviewing the specific risk items AI identified
- **1-4 points**: Significant risk of permanent capital loss — avoid unless you have a special informational edge

Key reminder: AI may underestimate "black swan" risks (fraud, sudden policy changes). A high score doesn't mean zero risk. Combine AI scoring with your own judgment on management integrity.

Getting started

Does this prompt give investment advice or buy/sell calls?
No. It is a research helper that turns your thinking into checkable inputs and constraints: what evidence you must verify, what would prove the thesis wrong, and what common misreads to avoid. Treat the output as a draft, not a signal. Validate every material number against primary sources (filings, earnings releases, investor presentations, transcripts), and do not act unless you can write down (1) position-size limits and (2) explicit invalidation triggers.
What inputs should I provide for a reliable result?
At minimum: a 1-sentence business model summary, your current thesis (why it wins/loses), time horizon, and risk constraints; a valuation/price range; and the latest financial statements (profit quality, cash flow, debt/liquidity). Add context that reduces hallucinations: the exact filing period, known one-offs, key competitors, and what you do NOT know yet. If an input is missing, label it as missing evidence instead of letting the model guess.

Validation and boundaries

How do I validate the output?
Validate falsifiable claims one by one. Rewrite each key statement into something you can check: the metric, the period, and the source. Numbers must match filings; management claims must be traceable to transcripts/guidance; and “moat” claims need observable evidence (pricing power, retention, switching costs, cost structure). Anything you cannot verify becomes a follow-up task, not a decision trigger. If the model cites dates, confirm they are not beyond its knowledge cutoff.
When should I NOT act on the output?
If you cannot write down invalidation triggers, a position-size cap, or primary-source evidence for the key claims behind “Never Lose Money”, do not act. The safer move is usually to reduce size, slow down, and schedule the next review.

More Rule Prompts

Explore other investment principles from this master.