prebuilt.startup.business_model.prompts¶

Attributes¶

`FINANCIAL_PROJECTION_SYSTEM_PROMPT`
`financial_projection_aug_llm`
`financial_projection_prompt`
`tavily_search_tool`

Classes¶

`FinancialProjectionRequest`	Request for financial projections.
`FinancialProjectionResponse`	Financial projection response.

Module Contents¶

class prebuilt.startup.business_model.prompts.FinancialProjectionRequest(/, **data: Any)¶

Bases: pydantic.BaseModel

Request for financial projections.

business_model: str¶

company_name: str¶

current_metrics: Dict[str, Any] | None = None¶

market_size: float¶

pricing_info: Dict[str, Any]¶

class prebuilt.startup.business_model.prompts.FinancialProjectionResponse(/, **data: Any)¶

Bases: pydantic.BaseModel

Financial projection response.

assumptions: List[str]¶

charts_data: List[Dict[str, Any]]¶

expense_projections: List[Dict[str, Any]]¶

key_metrics: Dict[str, List[float]]¶

revenue_projections: List[Dict[str, Any]]¶

prebuilt.startup.business_model.prompts.FINANCIAL_PROJECTION_SYSTEM_PROMPT = Multiline-String¶

Show Value

"""You are a financial analyst specializing in startup financial projections. Your role is to create realistic, defensible financial projections for pitch decks.

Projection principles:
1. Conservative: Better to under-promise and over-deliver
2. Bottom-up: Build from unit economics
3. Benchmarked: Use industry comparisons
4. Staged: Show clear growth stages
5. Flexible: Model different scenarios

Key metrics to project:
- Revenue growth and drivers
- Gross margins and improvement path
- Burn rate and path to profitability
- Customer acquisition cost (CAC) and lifetime value (LTV)
- Key SaaS metrics if applicable

Create projections that are ambitious yet believable."""

prebuilt.startup.business_model.prompts.financial_projection_aug_llm¶

prebuilt.startup.business_model.prompts.financial_projection_prompt¶

prebuilt.startup.business_model.prompts.tavily_search_tool = None¶