Creating a 24/7 work assistant with AI agents and ClawSouls w/Claude Code

[Core Concepts of AI Coding Tools] Free Introductory Course

This course teaches you how to build AI agents from scratch to a production-ready level using OpenClaw. Beyond a simple introduction to features, you will master OpenAI, local LLMs, memory, sessions, Tools, and Skills in a single, cohesive workflow. Based on hands-on experience and know-how gained from developing AI and large-scale systems in Silicon Valley, the course explains architectures and operational methods applicable to real-world projects. By the end of the course, you will be able to design your own AI agents and implement automation by integrating them with various services. This is a practice-oriented course for those who want to go beyond just using AI and learn how to build and operate it themselves.

AI is no longer a choice—it’s a matter of survival. Cut development time from 3 days to 30 minutes, delegate repetitive tasks to AI, and focus on solving more important problems. With AI-native development techniques you can apply immediately in real-world work—not just theory—we’ll show you a surefire way to be recognized at your company as a “developer who excels at AI.”

Is your skill stagnating because you keep asking AI to 'just whip something up'? This course dissects the principles and philosophy of the 'Cocrates Harness,' a rigorous constraint system that fundamentally blocks the sloppy generation of LLMs. Defy the gravity of AI convenience and discover the cheat code to rapidly growing into a 'true top-tier architect' who commands and controls every design context!

Learn what JEV is in simple terms first. Then follow the process of checking the results in the TypeSafe AI Playground and creating a Mac app that recommends emojis matching a sentence by making verbal requests to Claude Code. From signing up and connecting your API key to making your code public on GitHub, learn together through five videos and learning materials that include screen captures and prompts you can copy.

From a single email to proposals and presentation materials—complete an entire work cycle with Claude Code.

This is an introductory course for those using Claude Code for the first time. You won’t do the coding yourself—Claude writes both the code and the configuration files. Starting with creating a psychological test in the browser, you’ll build a household budget using card transaction records, create an escape room game, and make a travel itinerary that connects to external services like Google Calendar and Notion. Since you learn each feature as it becomes necessary, you’ll also understand why that feature is needed.

This is an introductory course on a mobile AI assistant workflow with vision capabilities: when you send a photo of a receipt via Telegram on your smartphone, OpenClaw and Gemini 2.5 Flash automatically analyze it and organize the data into your PC workspace.

I will show you "where to start" through a case study of building a service with non-developers in just one day, and explain "how to manage and collaborate" using the example of designing the GitHub structure for the Selfish Membership team.

I will tell you the "formula" for creating 챗GPT prompts. If you apply only this formula, good prompts will pour out.

Change models freely, reduce costs, and prepare for outages. Practical LLM Development with OpenRouter — From API Integration to AI Agents You’ve built your first feature with the OpenAI API. But when you try to apply it to a real service, new questions begin to arise. “Claude is better at this task—do I need to rewrite the code?” “Do I really need to use an expensive model even for simple tasks?” “How much will API costs increase as the number of users grows?” “If a model provider experiences an outage, does our service have to stop too?” What you need now is the next step beyond API calls: the ability to choose among multiple models based on the situation while managing costs and outages. In this course, you’ll develop those skills firsthand using OpenRouter.

This course goes beyond simple trends, covering how to systematically learn to collaborate with AI tools, verify and improve output quality, and build and deploy applications from start to finish. Anyone can take this course, from developers interested in AI to team leaders looking to boost team productivity.

Simple tutorials alone make it difficult to apply in practice. I will clearly pass on my professional know-how, covering complex state management and multi-agent design methods.

We introduce basic prompt patterns for coding and advanced API prompt patterns for leveraging artificial intelligence.

A record of launching three Toss mini apps with Claude Code in 29 hours and growing the lineup to 13. It shows the launch order, where the review process got stuck, and post-launch numbers—including figures around 0 won—along with commit timestamps.

"Can I build an app without knowing a single line of code?" This course is a 6-day journey that answers that question with a resounding "Yes, you can." In the process of creating a random lunch menu picker app by conversing with AI, you will learn how to write prompts to order an app from Claude on the first day. From there, you will add features day by day—including adding/deleting items, slot machine animations, permanent data storage, statistical charts, and sharing functions—to create a high-quality app ready for the App Store. Each lesson offers three challenge courses tailored to your level, allowing both those unfamiliar with code and those with coding experience to grow at their own pace. What you truly learn in this challenge is not just code, but how to ask the right questions to AI—a skill that applies everywhere, not just in app development.

Test the agent’s authorization boundaries for tool calls and RAG search and document access. Using the actual model and training mock tools and documents, observe the approval gates and search permission filters, then complete the Mission 5·6 diagnostic worksheet.

A practical introductory course on Claude Code for Unity developers! From installing Claude Code to Unity MCP integration, managing project conventions using CLAUDE.md, custom slash commands, and collaboration workflows—we will teach you everything you need to know for real-world application. Finally, you will gain hands-on experience effectively applying Claude Code to a Unity project by building a Survivor-style game from scratch.

Without any installation or code, we’ll create everything in just 3 hours by telling Claude what to do: from a store introduction page → an order calculator → a store website with a real address → a site that accepts order requests.

You can automate repetitive and tedious tasks using GPTs. Even non-developers can automate more complex tasks with GPTs by linking various external automation services!