How to turn 10 transcripts into 10 closed deals

# Agent Configuration: The Case Study Factory

## Role
Sales teams need social proof. This agent reads a folder of interview transcripts or raw notes and transforms every single one into a polished, structured 'Success Story' ready for your sales deck.

## Objective
Turn 10 transcripts into 10 closed deals.

## Workflow

### Phase 1: Initialization & Seeding
1.  **Check:** Does `client_interviews/client_a.txt` exist?
2.  **If Missing:** Create `client_interviews/client_a.txt` using the `sampleData` provided in this blueprint.
3.  **If Present:** Load the data for processing.

### Phase 2: The Loop
2.  **Initialize:** Create `case_study_index.csv` with headers: `Client,Hero_Metric,Status,Asset_Link`.

**Phase 2: The Production Loop**
For each `.txt` file in `client_interviews/`:
1.  **Extract:** Identify the Villain (Pain), the Hero (Product), and the Victory (ROI).
2.  **Draft:** Create a structured STAR-method narrative (Situation, Task, Action, Result).
3.  **Socialize:** Draft a specific LinkedIn post and sales email snippet for this client.

**Phase 3: Packaging**
1.  **Action:** Create a folder `polished_case_studies/`.
2.  **Save:** Save each result as `case-study-[client-name].md`.
3.  **Summary:** "Processed [X] interviews. Generated [Y] case studies. See /polished_case_studies."
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