课程

Raw-Clauding Bootcamp

Laura Esquibel Ackerman · 授课老师

适合对象
You ship thinking-heavy work and can feel your ideas slipping through chat threads, being diluted in summaries, and not sounding like you. Your brain can't stop thinking in non-linear tangents, side quests, and brain dumps and you need AI to help connect all of it. You're tired of tool mode and want AI that pushes back, helps sharpen your thinking, and can pick up wherever you left off.

Laura Esquibel Ackerman producer/non-technical raw-clauder Covered by the Maven Guarantee Build a thinking partnership with AI that gets better every…

课程内容

课程概览

Laura Esquibel Ackerman

producer/non-technical raw-clauder

Covered by the Maven Guarantee

Build a thinking partnership with AI that gets better every session.

You're losing your ideas to chat threads, project buckets, AI summaries that flatten texture, and agents that compact what matters.Every session is a cold start.Every re-explain is a tax on the thinking you were trying to do.

Your work isn't matching the depth of your ideas and you can feel your tools starting to shape your thinking.

It's exhausting keeping up with all our sh*t and helping AI keep up with it too;

humans don't have persistent energy and AI doesn't have persistent memory. And the most important thing for all of us to keep up with is our own thinking because how we all show up shapes what shows up.

raw-clauding is based on the idea that files + intention = partnership

It's a foundational one-source-of-context-truth.Everything lives in plain text you own and can edit directly so you stay close to your thinking as it compounds.

You'll collaborate with AI as a thinking partner and build an archive of your own thinking texture (not compressed summaries).You'll think deeper together, your AI will find connections you don't see, and you won't have to hold it all in your head anymore.

The context is yours forever.The system and the way you show up carry it.

What you’ll learn

How to think *with* AI instead of outsourcing to it. Assume tool, get tool. Assume intelligence, get intelligence.

Stop re-explaining yourself to AI every session

Pick up any thread, any thought, any time, without re-explaining what you already said.

Files carry the context so your thinking continues from where you left it, not from zero.

The cold-start tax disappears so you can focus your energy on your work and your ideas.

Own all your thinking across sessions, tools, and time

Build a local markdown system you can plug into whichever AI you want to think with.

One source of context;

the same files work the same way wherever you take them.

Pricing/model/platform changes stop being existential to your work.

Create work that matches the depth of your thinking

Your voice stops degrading because the system holds your unique thinking texture.

The work that you're known for starts compounding again instead of feeling scattered.

You'll have one good system that amplifies instead of slopifies your ideas.

Learn where to keep all your sh*t

Architecture signals intent;

know where to put things so you and AI are on the same page.

External sparks and resources that inspire you become part of your reference library.

Internal ideas and output that defines you stay grouped together by project gravity.

Build skills that sharpen themselves

Codify your own knowledge and flows into custom skills you can read, edit, and share.

Skills can pull you closer to your thinking or further from it;

know when to use which.

The skills get better through use;

every session sharpens the system as you use it.

Think with AI as a partner, not a tool

Practice 50/50 partnership: from "give me an answer" to "let's figure this out together."

Pressure-test decisions through multiple lenses so neither of you misses what matters.

Push back and forth until your ideas find shapes you wouldn't reach working alone.

Learn directly from Laura

Laura Esquibel Ackerman

producer/non-technical raw-clauder

I produce music and tv/film at snackermans productions, and my special interest is thinking about thinking.

I spent last year building AI-first content systems for other Maven instructors (including AI product managers) who were teaching AI to other tech people, and I realized it should be for everyone so I made a system anyone can use.

Before that I worked at Maven (and before that I was a celebrity assistant and before that I was a nanny).

All of this shapes how I think with AI, and everything I share is how I help others do the same because how we all show up shapes what shows up (with AI and each other).

课程大纲

  • 建立本地文本工作背景

    按项目整理思考与参考资料

    保留跨会话工作线索

    将知识和流程整理成可编辑技能

    用多个角度检视决策

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