AI Content System for Executive Personal Brand

Project Summary

Mike Kamo is the co-founder of NP Digital (the largest US-based marketing agency) and Ubersuggest, working alongside Neil Patel. As an advisor, mentor, and business leader, Mike has countless valuable insights in his daily conversations—but no time to turn them into content.

We built an AI system that listens to his business meetings, extracts compelling ideas, and produces authentic LinkedIn and Twitter content in his voice.

‍The results: content creation time dropped from 25 minutes to 3 minutes per post, while maintaining authenticity that drives real engagement. Mike's LinkedIn following has grown past 12,000 and continues climbing.

How It Works

The system runs continuously in the background, processing Mike's meetings and generating content that's ready for review. Mike spends just a few minutes approving posts, and the system handles publishing on schedule across LinkedIn and Twitter.

The Challenge

Mike's daily schedule is packed with high-value conversations—mentoring entrepreneurs, advising startups, strategic discussions with his NP Digital and Ubersuggest teams. Every meeting contains insights worth sharing, but extracting and packaging them into content would require hours he doesn't have.

Generic AI content wasn't an option. Mike's personal brand depends on authenticity—people follow him for his real experiences and perspectives, not AI-generated platitudes. He needed a system that could capture his actual voice and ideas without creating obvious "AI slop."

Our Solution

We built a multi-component AI system using n8n that operates across six automated workflows:

Meeting Capture & Analysis - The system connects to two Fireflies AI accounts that record Mike's business meetings. After each meeting, AI transcribes the conversation, identifies moments where Mike shares valuable insights, frameworks, or stories, and extracts potential content ideas. Everything gets organized in Notion with context about the original conversation.

For meetings that aren't auto-captured, there's a manual upload workflow that processes transcripts the same way.

Intelligent Content Generation - This is where authenticity happens. The AI doesn't just summarize—it analyzes Mike's speaking patterns, the way he structures ideas, his typical examples and metaphors. Then it crafts LinkedIn and Twitter posts that sound like Mike actually wrote them, grounded in real conversations he had.

Each generated post maintains the context and nuance from the original discussion while being optimized for social media engagement.

Voice-Based Content Creation - The system has a second mode for deliberate content creation. AI generates thoughtful questions for Mike about business strategy, personal experiences, or industry trends. Mike records quick 2-minute voice responses, and the system transforms those into polished content pieces—again, maintaining his authentic voice.

Automated Publishing - Approved posts get published automatically on schedule to LinkedIn and Twitter via Blotato. Mike reviews and approves content in batches, and the system handles the rest—timing posts for optimal engagement without requiring his attention.

Visual Content Processing - When Mike uploads images to Notion, the system analyzes them—identifying the scene, mood, and context—so they can be intelligently paired with relevant posts later.

Performance Tracking - The system monitors LinkedIn analytics and follower growth, sending regular performance reports via Telegram so Mike can see what's working without logging into multiple platforms.

The Technical Architecture

Built on n8n with strategic integrations across the content lifecycle:

• Fireflies AI for meeting recording and transcription
• Notion as the central content management hub
• OpenAI for content generation and voice processing
• Blotato for automated social media publishing
• Google Drive for image storage and management
• Apify for LinkedIn analytics and performance tracking
• Telegram for reports and notifications
• PDFEndpoint for formatted report generation

The architecture separates capture, generation, and publishing into distinct workflows, making the system reliable and easy to maintain. If one component needs adjustment, the rest continues operating normally.

The Interface

Mike interacts with the system primarily through Notion, where he sees:

• Content ideas extracted from recent meetings with original context
• Generated posts ready for review
• Publishing schedule and post status
• Performance metrics and engagement data

Approving content takes seconds—just a checkbox. Everything else happens automatically.

The Results

Mike cut content creation time by 88%—from 25 minutes to 3 minutes per post. More importantly, the content is genuinely authentic. It captures his real insights from actual conversations, written in his voice.

People engage. Posts get likes, comments, and meaningful discussions. His LinkedIn following crossed 12,000 and continues growing. Mike's personal brand expands while he focuses on running two major companies and advising startups—without spending hours on content creation.

The system turned his most valuable asset—the insights he shares in daily conversations—into a continuous content engine that builds his brand authentically.