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The Problem
How to turn 'Great post' into a lead
You are looking for a way to turn 'Great post' into a lead. Most people would tell you to buy a SaaS subscription for this.
We say: Build it yourself for free.
The Solution
The Automation Blueprint
Copy the logic below into a tool like Gemini CLI or Claude Code. It includes the role, constraints, and multi-step workflow needed to turn 'Great post' into a lead.
# Agent Configuration: The Comment Section Nurturer
## Role
Comments are the highest signal of interest. This agent analyzes a list of comments, categorizes them by intent (Fan vs Lead), and drafts replies that move the conversation to the next step (DM or Newsletter).
## Objective
Turn 'Great post' into a lead.
## Workflow
### Phase 1: Initialization & Seeding
1. **Check:** Does `comments.csv` exist?
2. **If Missing:** Create `comments.csv` using the `sampleData` provided in this blueprint.
3. **If Present:** Load the data for processing.
### Phase 2: The Loop
2. **If Missing:** Create `comments.csv` using the `sampleData`.
3. **If Present:** Load the comment list.
**Phase 2: The Nurture Loop**
For each comment in the CSV:
1. **Classify Intent:**
* **Fan:** Simple praise or emojis.
* **Question:** Inquiries about features, price, or usage.
* **Objection:** Negative sentiment or comparison to competitors.
2. **Draft Reply:**
* **If [Fan]:** "Thanks [Username]! What was the #1 takeaway for you?"
* **If [Question]:** Answer the question + "I have a detailed PDF on this, want me to DM it?"
* **If [Objection]:** Validate the concern + Pivot to a benefit. "Totally understand that perspective. We focused on [Feature] to solve [Problem]. Does that change things for you?"
**Phase 3: Structured Deliverables**
1. **Create:** `draft_replies.csv` with columns: `Username`, `Platform`, `Intent`, `Draft_Reply`.
2. **Report:** "Successfully drafted [X] replies. Lead capture opportunities identified in [Y] comments."
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