3 levels to your "oh sh*t” moment with AI
By Sander SaarPublished Updated Length
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3 levels to your "oh sh*t” moment with AI
This video breaks down three stages of artificial intelligence adoption in modern work environments. It covers Level 1 with AI acting as a tool in browsers and spreadsheets, Level 2 where tools like Claude Code serve as coworkers on code and presentations, and Level 3 where autonomous software like OpenClaw runs on a Mac mini server. The presenter also highlights the rapid pace of these developments and their impact on white-collar jobs.
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Level 1: AI as a tool in browsers and spreadsheets
The presenter introduces Level 1 of AI adoption, demonstrating Claude actively navigating browser tasks like OpenTable bookings and building complex spreadsheets and graphs.
Level 2: AI as a coworker for code and knowledge work
The presenter explains Level 2, where tools like Claude Code and Cowork work on actual files to produce finished applications, presentations, and market-shifting software impact.
Level 3: AI as an autonomous workforce
The host presents Level 3 using autonomous systems like OpenClaw running on a Mac mini server to manage calendars, execute daily schedules, and build its own skills.
The rapid evolution of AI and the future of work
Reflecting on how quickly all three levels developed, the presenter discusses the existential shift for white-collar jobs and asks viewers which level they currently use.
Transcript
There are 3 levels to your oh shit moment with AI. Level 1 is when Claude is working inside your browser. No, not to chat with, but as an agent that navigates, clicks, fills, and completes tasks across your tabs. Or inside your spreadsheets. It creates the formulas, graphs, analysis. It reads the page, understands the context, and does the work. Level 2: Claude Code and Codex for coding, and Claude Cowork for knowledge work. Working on your actual files. You describe what you want, it creates a plan, uses all the tools needed like web, files, code, research.
You walk away and come back to a finished product. Features, build presentations, spreadsheets, reports created from nothing. I built a lot of apps recently, and 1 in 20 of public code commits on GitHub are now written by Claude Code. Cowork itself was built by Claude Code in under 2 weeks, and it triggered a $285 billion sell-off in software stocks. Level 3 is fully autonomous and proactive. I run Open Claude on Mac mini server. It connects to my email, calendar, notes, maps, GitHub, storage, web, everything.
But here's what's different. It doesn't just follow instructions. It observes my daily patterns, writes its own skills, and builds its own tools to solve them and executes. Completely proactively. It's the fastest-growing AI project on GitHub ever, and it's open source. I wake up to a morning briefing, analytics check, news scan 3 times a day, my emails and calendar reviewed, day planned, in addition to work completed overnight while I slept. All 3 of those levels happened in the last 6 months, and honestly, it's made me question a lot what I thought was my job.
If something can do it faster, more consistently, and cheaper, a lot of what I thought was my work just lost its meaning pretty fast. The question isn't whether AI can do your work. It's now that it can, what are you actually going to do with it? Let me know which level you're at. And if you'd like to deep dive in any of the setups.