How I Built an AI Music Editor to Cut Through the Noise of New Releases

Too Many Songs, Too Little Signal

Every morning, I used to wake up and immediately scroll through streaming platforms, music blogs, and social media. Hundreds of new singles, album announcements, and playlist drops—each one screaming for attention. After twenty minutes of swiping, I'd feel like I knew a lot but couldn't name one track worth my headphones.

The problem isn't scarcity anymore. It's an avalanche. Record labels push endless promos, AI-generated songs flood playlists, and every artist's team claims a "major release." My old habit of checking everything left me exhausted and oddly empty.

So I decided to fight back. I built an AI music editor—a personal curator that filters, verifies, and ranks the noise. Here's how I did it, and how you can too.

Step One: Feed the AI a Curated Feed, Not the Whole Internet

My first attempt was simple: a daily 8 a.m. task that scoured the web for the top five music stories or new releases. It worked for a week. Then I noticed the same single popping up three times—once from a label press release, once from a review site, once from a fan blog. My AI wasn't dumb; it was just eating from a trash buffet.

I switched to RSS. I'd been collecting feeds for years—161 of them, to be exact. But raw RSS is still messy. So I organized them into tiers based on trust.

Build a Tiered Source Pool

The core idea: go to the people actually making the music or reporting it firsthand. I split my sources into four layers.

• Primary sources: Official artist channels, label announcements, and streaming platform blogs. These give you the raw facts—release dates, track lists, credits—before anyone spins them.
• Trusted critics: Publications like Pitchfork, Rolling Stone, and The Wire. They have editorial standards and fact-checking, so their reviews carry weight.
• Curated aggregators: Sites like Bandcamp Daily or Resident Advisor. They're great at spotlighting niche gems, but they also repost a lot—so treat them as a filter, not a source.
• Community & KOLs: YouTube reviewers, Reddit threads, and fan forum experts. They offer genuine listening experiences, but they're prone to hype. Use them for opinions, not facts.

If you're lazy, just subscribe to a few solid newsletters. I'm partial to ones that actually link back to the original label page.

Step Two: Organize Your Feeds Like a Personal Magazine

Managing 161 feeds is chaos unless you have a system. I use a reader called Folo, which runs on RSS—the old-school protocol that pushes content to you rather than making you hunt for it. It's perfect for reclaiming control in an algorithm-driven world.

In Folo, I created six folders: New Releases, Deep Cuts, Electronic, Jazz & Experimental, Live Reviews, and Industry News. Each feed goes into its folder. Now opening Folo feels like flipping through a zine I printed myself.

Open the Door to AI with CLI

Folo's killer feature is its command-line interface. It lets my AI agent read my unread items directly. Instead of scraping random websites, the AI now reads only what I've already vetted. Every item comes with a link back to the original source, so there's zero chance of hallucinated references.

Step Three: Teach Your AI What You Actually Like

Even with good sources, my AI kept pushing what was hot, not what I cared about. For weeks, every new synthwave drop dominated the feed. I love synthwave, but I also have a thing for obscure Japanese ambient. I couldn't take it anymore.

So I typed: "Too much synthwave today. I want more Japanese ambient and experimental electronics. Remember this."

The AI created a memory file and adjusted its filters. The next morning, the feed was full of Ryuichi Sakamoto reissues and tape-loop artists I'd never heard of. It worked because I told it what to ignore—not just what to include.

That's the secret: a good assistant is trained by feedback. You don't need to be a coder. Just talk to it like a human.

Step Four: Turn Your Feed into a Personal Zine

Chat bubbles are fine, but I wanted something I could actually read like a magazine. So I asked my AI to output a clean HTML page—a "cyber-zine" if you will. It builds a card layout with the day's top five picks, each card containing:

• A bold title
• The core facts (multi-source verified)
• Why it matters
• Buttons linking to the original sources

Now, instead of a wall of text, I get a minimalist page with white cards. I can scan it in two minutes and click through only what interests me.

Going Deeper: Tracking a Long-Running Rumor

One day I wanted to know if that long-rumored Beatles biopic was actually happening. Every week, a new "insider" claimed a different director. I set my AI to build a dedicated tracker page. It had to:

• Show a 100-word status summary as of today.
• Display a timeline of key claims, with dates and sources.
• Rate each claim as "Confirmed," "Multiple Sources," "Single Rumor," or "Unverifiable."
• Include a keyword frequency chart based on independent sources, not reposts.
• Filter by category, credibility, and status.

The result was a dark-themed, mobile-friendly page that looked like a proper investigation. I could see that the "confirmed" parts were only two: the script was done and a studio was attached. Everything else was noise.

That page killed my anxiety. I stopped refreshing news feeds because I had a clear picture of what was real and what was hype.

Why This Matters Now

In 2025, the dictionary people chose "slop" as word of the year. It means low-quality, AI-generated content flooding the internet. Music is drowning in it too—auto-generated lo-fi tracks, fake collabs, and clickbait playlists.

Building your own source system is the best defense. It's not about rejecting AI—it's about using it to filter the human-made from the machine-made. My AI doesn't decide what I like. It just brings me options I've already vetted.

Take Back Your Listening Time

You don't need 161 feeds or a coding degree. Start with five sources you trust. Set up an RSS reader. Let an AI agent summarize and sort them daily. Teach it your taste. Ask it to make you a beautiful page.

The flood of music won't stop. But with a small dam at the top of the stream, what reaches you is already settled. You'll know what deserves a deep listen and what to skip. That's the whole point—not to hear everything, but to hear what matters.