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Hi John,

Last week we opened early access for Unlearn and over 1000 developers joined as founding members. These are engineers who chose to invest in the parts of development AI can’t replace. Every one of them is already helping shape the platform and make it better before we reopen.

Enrollment is now temporarily closed so we can collect feedback, ship improvements, and make the experience even sharper for everyone.

I wanted to give you a peek at what you will actually be doing inside Unlearn if you decide to join the waitlist when enrollment opens again.

Most AI workflows feel inconsistent for one simple reason.

Nothing carries over.

You open your agent, build a feature, get decent output… and move on. When the next task starts, you’re right back at the beginning.

Same explanations. Same corrections. Same preferences.

It feels like you’re resetting every time.

Here are three things you can set up that immediately change how this feels.

1. Make your AGENTS.md actually control behaviour (10 minutes)

You probably already have an AGENTS.md file.

The problem is most of them are passive. They describe the project, but don’t actually change how the agent behaves.

Open it and add a Do/Don’t section somewhere.

Keep it tight and opinionated, and feel free to mix up general and technical constraints.

Here’s an example.

Turn on images to see do's and don't

Every time the agent does something you don’t like, don’t just correct it. Add a rule:

“Please update AGENTS.md do/don’t to avoid this in future: …”

That’s how this file becomes useful. It evolves based on real mistakes, instead of trying to be perfect upfront.

2. Turn one repeated task into a process (5 minutes)

Pick something you do often and create:

implement-feature.md

Define the steps you want followed every time:

Turn on images to see implement-feature

Use it like this: