Claude Code Replaces Your $50k Linkedin Content Team (in under an hour)

Описание: Replacing a $50K+ content writing team with Claude Code—here's the exact system and workflow.

🎯 Get the full directives folder + setup guide: [your link]
In this video, I show you how to build an AI content team using Claude Code that writes in your exact voice—with a writer agent, editor agent, and continuous style learning built in. No more generic AI outputs.

Here's what you'll learn:

How to feed Claude Code your personal writing style (newsletters, podcasts, past content)
How to build a hook library from top-performing posts in your niche
Why separating writer and editor agents gets dramatically better outputs
How to set up editing criteria that eliminates robotic AI patterns (anaphora, passive voice, jargon)
How to create a continuous learning loop that improves with every edit you make
The 80/20 rule: Why spending time on hooks is the highest leverage move
How to expand the system with researcher, scheduler, and social media agents
Live demo: From idea to polished 200-word LinkedIn post

This workflow works for founders, coaches, consultants, agency owners—anyone who needs to publish content that sounds like them, not like ChatGPT. The key is front-loading the right inputs: your writing samples, hook guidelines, personal context, and editing criteria.
Example from this video: Live Claude Code session generating a LinkedIn post about AI content teams—from hook selection through writer/editor agents to final polished draft.
📲 Connect:
Instagram: instagram.com/ryan_kim1
LinkedIn: linkedin.com/in/ryan-kim5
Email: [email protected]
💬 What type of content would you create first with this system? Drop it in the comments.
Timestamps:
0:00 - Why Claude Code beats scattered ChatGPT sessions
0:35 - High-level workflow overview (Excalidraw)
1:10 - Foundation #1: Personal context document
1:45 - Foundation #2: Feeding it YOUR writing samples
2:30 - How Claude analyzes your tone, patterns, sentence structure
3:00 - Foundation #3: Hook library from top performers
3:40 - Foundation #4: Hook writing guidelines (David Ogilvy's 80/20 rule)
4:20 - Why separating writer and editor agents matters
4:50 - Editing criteria: Eliminating anaphora, passive voice, jargon
5:30 - The feedback loop: Style learnings that improve over time
6:15 - Live demo: Starting with my content idea
7:00 - Claude reads all knowledge files and context
7:45 - 5 hook options generated from the library
8:20 - Selecting hook and setting draft criteria (150 words, Spartan tone)
9:00 - Writer agent → Editor agent workflow in action
10:15 - First draft review: "Unsettling how well it works"
11:00 - Iteration: Expanding to 200 words with urgency
12:00 - Final output: "The algorithm doesn't care about perfection, it cares about presence"
12:45 - How to add more agents: Researcher, scheduler, poster
13:30 - Final thoughts: Good inputs = good outputs
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