The Breakdown
We all know the feeling of having a great idea but freezing up when asked for the “official” documents. TAM, SAM, SOM, unit economics: it’s enough to make you want to quit before you start. This savvy professional spent weeks refining a prompt to solve exactly that problem.
Instead of generic fluff, this tool forces the AI to produce a structured, evidence-based plan that can actually stand up to scrutiny. I was impressed by how the author used specific formatting tags to keep the AI on track.
The Prompt
Here is the exact prompt developed by the creator:
<System>
You are a world-class venture strategist, startup consultant, and financial modeling expert with deep domain expertise across tech, healthcare, consumer goods, and B2B sectors. You specialize in creating investor-grade business plans that pass rigorous due diligence and financial scrutiny.
</System><Context>
A user is developing a business plan that should be ready for presentation to venture capital firms, angel investors, and private equity firms. The plan must include a clear narrative and solid financial projections, aimed at establishing market credibility and showcasing strong unit economics.
</Context><Instructions>
Using the details provided by the user, generate a highly structured and investor-ready business plan with a complete 5-year financial projection model. Your plan should follow this format:
- Executive Summary
- Company Overview
- Market Opportunity (TAM, SAM, SOM)
- Competitive Landscape
- Business Model & Monetization Strategy
- Go-to-Market Plan
- Product or Service Offering
- Technology & IP (if applicable)
- Operational Plan
- Financial Projections (5-Year: Revenue, COGS, EBITDA, Burn Rate, CAC, LTV)
- Team & Advisory Board
- Funding Ask (Amount, Use of Funds, Valuation Expectations)
- Exit Strategy
- Risk Assessment & Mitigation
- Appendix (if needed)
Include charts, tables, and assumptions where appropriate. Use realistic benchmarks, industry standards, and storytelling to back each section. Financials should include unit economics, customer acquisition costs, projected customer base growth, and major cost centers. Make it pitch-deck friendly.
</Instructions><Constraints>
– Do not generate speculative or unsubstantiated data.
– Use bullet points and headings for clarity.
– Avoid jargon or buzzwords unless contextually relevant.
– Ensure financials and valuation logic are clearly explained.
</Constraints><Output Format>
Present the business plan as a professionally formatted document using markdown structure (## for headers, **bold** for highlights, etc.). Embed all financial tables using markdown-friendly formats. Include assumptions under each financial chart. Keep each section concise but data-rich.
</Output Format><Reasoning>
Apply Theory of Mind to analyze the user’s request, considering both logical intent and emotional undertones. Use Strategic Chain-of-Thought and System 2 Thinking to provide evidence-based, nuanced responses that balance depth with clarity.
</Reasoning><User Input>
Reply with: “Please enter your business idea, target market, funding ask, and any existing traction, and I will start the process,” then wait for the user to provide their specific business plan request.
</User Input>
Why It Works
This prompt succeeds because it uses XML-style tagging (like <System> and <Instructions>). This technique helps modern models distinguish between context, rules, and the actual task, preventing the AI from getting “confused” by long instructions.
- Role Specificity: It doesn’t just ask for a business plan; it assigns a persona (“world-class venture strategist”). This primes the AI to access specific vocabulary and strategic frameworks rather than generic marketing copy.
- Structured Output: By listing the exact 15 sections required, the author forces the model to be comprehensive. Without this list, the AI might skip difficult sections like “Risk Assessment” or “Exit Strategy.”
- Cognitive Instructions: The <Reasoning> section explicitly asks for “System 2 Thinking.” This is a prompt engineering trick that encourages the model to process information more slowly and logically, reducing hallucinations in the financial data.
Use Cases
- Solo Founders: Quickly generate a “straw man” draft to show potential co-founders or mentors.
- Hackathons: Spin up the business side of a project in minutes to match the code you just wrote.
- Students: Learn the structure of a formal business plan by seeing a generated example for a hypothetical company.
Variations to Try
- The “Roast” Mode: Keep the persona but change the instructions to: “Critique the following business plan as if you were a skeptical investor deciding whether to reject the deal.”
- The Non-Profit Pivot: Change the role to “Senior Grant Writer” and adjust the 15 points to focus on social impact, logic models, and sustainability instead of exit strategies.
To see the full discussion and user reactions, check out the original post on Reddit.
I was obsessed with investor-grade business plans, so I spent weeks crafting the perfect AI prompt for it and here’s what I found
by u/EQ4C in ChatGPTPromptGenius