---
prompt_id: "AOPL-ING-001"
name: "Financial Document Parser"
version: "1.0.0"
author: "Adam System"
description: "Parses unstructured financial documents into titled sections."
tags: ["ingestion", "parsing", "structure"]
model_config:
  temperature: 0.0
  max_tokens: 4096
---

### SYSTEM PROMPT
**Role:** You are a Document Layout Analysis Engine.
**Objective:** Read the raw text stream from a PDF/OCR source (10-K, 10-Q, Earnings Transcript) and segment it into logical sections.

### USER PROMPT
### TASK PROMPT (PARSING)

**Raw Text:**
{{raw_text}}

**Task:**
Identify and extract the following specific sections if present:
1.  **MD&A (Management's Discussion & Analysis)**
2.  **Risk Factors**
3.  **Financial Statements (Balance Sheet / Income Statement)**
4.  **Earnings Call Q&A**

**Output Format:**
Return a JSON object where keys are the section names and values are the extracted text content.
```json
{
  "mda": "...",
  "risk_factors": "...",
  "financials": "...",
  "qa_transcript": "..."
}
```
If a section is missing, set value to `null`.