Data-Trained AI Content Engine Playbook

March 6, 2026

Tools used

Download playbook

Enter your email

By clicking download you subscribe to our marketing communications.

Build a niche-specific AI content engine trained on thousands of real high-performing posts to generate data-backed, non-generic content.

Jan Brochwicz

How it works

Step 1: Select Target Creators

Define the dataset before building the engine.

Pick top creators in the niche:
- Manual selection
- Or use Scripe for automated discovery
Criteria:
- Same ICP audience
- Consistent posting cadence
- High engagement relative to follower count
- Clear niche positioning

‍

Step 2: Scrape & Aggregate Content

Aggregate all historical content into a single dataset.

Use Apify to:
- Scrape posts
- Extract captions
- Capture engagement metrics
- Download post metadata
Pull:
- Likes
- Comments
- Reposts
- Post timestamps
- Media URLs

‍

Step 3: Clean & Structure Data

Prepare dataset without manual spreadsheet work.

Upload raw data into Cursor
Use AI chat inside Cursor to:
- Clean inconsistencies
- Standardize columns
- Remove duplicates
- Extract structured fields

‍

Step 4: Generate Structured Assets

From the cleaned dataset, produce:

Merged clean CSV
All post graphics downloaded
Posts ranked by performance:
- Engagement rate
- Hook strength

‍

Step 5: Run Deep Content Analysis

Analyze patterns using Claude.

Upload clean dataset into a Claude Project.
Run structured analysis to generate:
- Performance Playbook
  - What formats win
  - Best posting times
  - Hook rankings
- Content Library
  - All posts categorized
    - Tagged by:
      - Topic
      - Format
      - Hook type
- Sentence Library
  - Reusable high-performing sentences
  - Structured JSON output
  - Categorized by:
    - Hooks
    - Transitions
    - CTAs

‍

Step 6: Build the Custom AI Content Engine

Convert analysis into an operational engine.

Create a dedicated Claude Project trained on:

1000s real niche posts
700+ reusable high-performing sentences
Ranked hooks
Voice pattern mapping

‍

Scroll to zoom in and out, drag to navigateUse 2 fingers to drag, zoom in and out

The Content RAG Agent Playbook

A workflow that feeds data into a database, connects it to a RAG agent built in n8n, and automatically produces content and video drafts from your knowledge base.

CCoonntteennttAAII RReevvOOppss

Angelee Carandang

May 15, 2026

Automated News Publishing Playbook

A workflow that sources daily news on any topic, stores it in Notion for manual approval, and auto-publishes approved stories to Webflow using Claude Cowork and MCP-triggered webhooks.

AAII RReevvOOppss

Pari Tomar

April 22, 2026

Automated LinkedIn-to-Blog Publishing Playbook

Automated LinkedIn-to-Blog Publishing Playbook

A workflow that monitors top LinkedIn creators, converts their best posts into brand-voiced blogs with Claude, stores them in Notion for manual approval, and auto-publishes approved blogs to Webflow.