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Very on spot. I wont say AI never bring satisfaction. The satifaction of shipping is actually doubled, but the feeling of vanity is huge after that.

Exactly. I feel I lost the ownership and connection to the work.

I am using GLM. The quota is so generous, but the quatlity, I will say, 80-85% ?

Appreciated! For me, the most difficult pieces are the pieces I haven't tried my self! The browser operation and interaction with coding agent in this case.

I wanted to really understand how AI agents work, so I spent two weeks building one from scratch. Then I turned my learning into a step-by-step tutorial.

18 progressive steps — each adds one concept, each has runnable code. Some highlights from the journey:

- Step 0: Chat Loop — Start with the basics. Just you and the LLM, talking. - Step 1: Tools — Give your agent the ability to take actions. - Step 2: Skills — Dynamically load capabilities as needed. - Step 6: Web Tools — Agent can search and read the web. - Step 11: Multi-Agent Routing — Multiple agents, right one for the right job. - Step 15: Agent Dispatch — Agents that can collaborate with each other. - Step 17: Memory — Long-term knowledge that persists across sessions.

Each step is self-contained with a README + working code.

[https://github.com/czl9707/build-your-own-openclaw](https://github.com/czl9707/build-your-own-openclaw)

Hope this helpful! Feedback welcome.


Yes, the "commits = enemy life". Different enemy types is such a genious idea!


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