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AI Operator
AI Operator

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I Built a Content Engine That Publishes While I Sleep (Here's the System)

Most solopreneur content workflows are broken. Not because of bad writing, but because of missing systems.

The typical pattern: find a topic on Reddit, spend 3 hours writing, hit publish, get 12 views, repeat with slowly diminishing motivation until you stop entirely.

After running a content site for the past few months and testing everything from Claude to NotebookLM to automated distribution pipelines, I put together a 3-layer system that handles the whole loop.

Layer 1: Research (Stop Guessing What People Care About)

Reddit is a goldmine for finding topics that already have an audience. Instead of brainstorming, you mine active threads for questions people are already asking, frustrations they're already venting, and debates that already have momentum.

The key metric: is this thread getting engagement today, not 6 months ago?

Layer 2: Creation (The NotebookLM Research Brief Method)

Before writing, I upload the top 5-10 competitor articles on the topic into NotebookLM. Then I query it for content gaps, counterintuitive angles, and questions none of them answer. The result is a Research Brief that shapes the article before a single word gets written.

This is why AI-assisted articles can actually beat SEO incumbents rather than just adding to the pile.

Layer 3: Distribution (The Part Everyone Skips)

Twitter threads, Hacker News, Dev.to, Quora. Each platform has a specific format that works. HN hates clickbait. Quora rewards answer-first writing. Twitter rewards specificity over vague claims.

The system posts to all of them automatically after each article publishes.


I wrote up the full system as a guide with the 30-day launch plan, the tools stack, and the revenue model layered on top.

If you're building content as a solopreneur, the guide is at: https://payhip.com/b/5GtWT

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