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[Free Special Lecture] Where to Place Your Tokens: How to Spend Your Time and Money in an Era of Powerful AI

AI can handle more tasks than ever, but where should I start delegating my work? Through public case studies and hypothetical tasks, choose your next move among setting goals, gathering materials, execution, verification, and accumulation, then summarize your criteria for delegation, judgment, and stopping on a single page.

4 learners are taking this course

Level Beginner

Course period Unlimited

AI
AI
Business Productivity
Business Productivity
prompt engineering
prompt engineering
AI
AI
Business Productivity
Business Productivity
prompt engineering
prompt engineering

What you will gain after the course

  • We distinguish AI usage fees from the time people spend on preparation, waiting, and review.

  • I identify where I’m stuck in my work and choose what to prioritize among goals, resources, execution, verification, and accumulation.

  • Summarize the materials to give the AI and the completion criteria in a five-line brief.

  • Define what to delegate to AI, what evidence humans must verify, and the conditions for stopping iteration.

  • We leave the source, reasoning, and update conditions so they can be reused in future work.

Recommended for
these people

Who is this course right for?

  • Office workers who have tried ChatGPT, Claude, Gemini, and others but are unsure where to start delegating their work to them.

  • A solo business owner with many things to create using AI who needs to prioritize time and costs

  • Those who are ready to move from keeping up with new features to establishing their own criteria for making decisions in their work.

Need to know before starting?

  • Experience using an AI chat tool at least once

  • One task for me to consider. No coding knowledge or specific paid subscription is required.

Hello
This is gptssam

I’m GPT Teacher, researching and building AI agent workflows and content automation systems.

After implementing and validating trending global AI technologies and workflows firsthand, I teach them so that even non-developers can reproduce the same setup on their own computers in just 10 minutes by sharing the execution logs, prompt specifications, and open-source starter kits as complete files. Instead of making exaggerated promises about views or revenue, I show you with data and code what actually worked and how it was validated.

[Key Research and Course Areas]

  • Building AI Agents & a Second Brain: Knowledge compilation and workflow automation based on Claude Code · Google Antigravity · Karpathy LLM Wiki

  • AI video and content production systems: Fact-checking and automated rendering pipelines combining Google Flow (Veo), TTS, and agents

  • Integrity verification automation: A lint pipeline that comprehensively checks broken links and factual accuracy across scripts, wikis, and data

[Official Channels and Open-Source Practice Lab]

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