Big Announcement! 🥁🥁🥁

I’ve Made 1,800 Tutorials. Most of Them Are Already Dead.

I’ve been making tutorials for over 10 years. Photoshop, Premiere, After Effects, podcasting, and for the last couple of years, AI tools: Claude Code, n8n, VPS servers, RAG, agents. I’m proud of them, even the ones that make me cringe now.

The problem is, tutorials don’t last.

That’s always been true with software tutorials, but AI put it on fast-forward. A menu changes. An API updates. A model gets replaced. A tutorial that was completely accurate when I published it can be outdated within weeks. Then the comments start: “This doesn’t work anymore.” They’re right. It doesn’t.

Here’s the bigger problem: the tutorial model itself is broken, and AI broke it for good.

No human can re-record fast enough to keep pace with tools that change weekly.
Creators burn out on the treadmill.
Meanwhile, the person just trying to build something wastes a weekend stitching together half-working advice from five different videos, each outdated in its own special way.

So I started asking a different question: what would it look like to completely rethink how AI tutorials get made?

“Agent Evergreen is my answer.”

What Is Agent Evergreen?

It’s a living AI knowledge library where the unit isn’t a video or a course.
It’s a working system you own forever, designed to stay current as the tools change.
Agent Evergreen and a fleet of agents keep track of every system and update them when they get outdated.

Every System Ships Complete

A member-owned working repo: the actual code, workflows, configs, and prompts. Make an independent copy in your own account and run it.
A build guide: written the way I teach: clear, plain English, the why included.
A short walkthrough video from me. Some habits are worth keeping.
Adaptation notes: “but my stack is different,” answered honestly.
A public change log and a dated stamp: Verified, tool + version, date.

That last one is the whole ballgame.

When the tools change, the system gets maintained, and you can see exactly when it was last verified. Every active system is checked monthly. If a supported dependency breaks it, I publish a fix, workaround, or clear status within seven days. The stamp is public, so if something’s stale, you’ll know, and so will everyone else. I can’t hide from it.

How Can One Person Promise That?

Because I’m not doing it alone. I run a small fleet of AI agents. They watch release notes, flag what broke, and draft the updates. But the agents draft, I decide. Every guide gets my edit. Every stamp is me, personally, having verified the thing runs. The agents do the grind so I can spend my time where a human actually matters.

“I call this approach Programmatic Knowledge. I build once. The agents keep it alive.” — Agent Evergreen

The Content Factory

Starting now, I’m building the first system in public: The Content Factory, the exact agent-run pipeline that operates my entire business. You’ll watch me build it right here every Friday. Then on Friday, September 11, it becomes the first system in the library, and Agent Evergreen opens.

Founding Members (100)

The first 100 members get founding terms:
$149/year, locked for life.
Every system, every future system, a meaningful library release every month, the freshness guarantee, and a vote on what gets built next.
Every system publishes its own conservative time-saved estimate. If Agent Evergreen isn’t worth the founding price to you during your first 30 days, I refund your year. After 100 members, it’s $200/year.

👉 Join the founding waitlist (waitlist members get first crack at the 100 spots on September 11)

🗞️ Read the full manifesto (this article)

🌲 Agent Evergreen Build Log — Week Zero

This is a new standing section. Every Friday between now and launch, I’ll tell you what I actually built that week, including what broke.

This week:

The manifesto above, and the waitlist page at mikemurphy.ai/evergreen.
The signup pipeline behind it (an n8n workflow that writes every signup straight into my own database, no third-party list tool).
Next Friday: Build Log #1, the capture protocol and the agent that turns a week of work into a drafted post.

Mike Murphy — The AI Handyman 🧰 Helping creators & small businesses turn their content & documents into AI-powered tools.

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