buttercup.sh

Em dashes welcome — learn how to build AI agents

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Em dashes welcome — learn how to build AI agents

8 followers

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Engineering & Development

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LLMs

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AI Agents

Join the next few weeks and learn to build AI agents. Open source. Courses posted on Youtube and buttercup.sh. Learn how to build AI Agents. You may be interested in the high-level details building agents and software. It's important to know what is possible, so you can learn what to ask code agents to add it to your apps. By knowing what is available, you'll be able to build more robust apps and agents.

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Launch tags:Artificial Intelligence•GitHub•YouTube

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ClarifyThe autonomous CRM that helps you sell more

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Join us over the next few weeks to learn how to build AI agents. Take a look at the source code on github to learn how AI agent harnesses are built. We will be adding more topics and ideas every week. Starting mid-September 2026.

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19d ago

Forum Threads

p/buttercup-sh-web-agent-harness

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5d ago

Lesson 2 — tool calling: how a chat model gets hands

We published the full walkthrough and runnable implementations in JavaScript and Python in Lesson 2: tool calling - how a chat model gets hands. You can follow the breakdown, inspect the exact failure modes, and test the ring directly in the harness against a virtual localStorage filesystem without leaving your browser tab.

A chat model cannot check the weather, read a file, or send an email. It can only generate text. An AI agent is not born from a complex orchestration framework, a planning module, or an external memory layer; it is born from an agreement that turns generated text into an executable instruction. The model simply halts its raw text output to emit a structured schema containing a function name and arguments, your application executes the native code, and you pass the return value back into the conversation array under the matching call ID.

p/buttercup-sh-web-agent-harness

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12d ago

WebLLM: Run a language model in the browser on WebGPU, Lesson 1

https://buttercup.sh/lessons/202...

The first lesson! For building AI Agents. We start with using WebLLM for clinet-side language model inference. Note that the full syllabus has been posted if you are interested in the upcoming lessons.

p/buttercup-sh-web-agent-harness

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18d ago

How long will this last?

At least four weeks, with a chance of a few bonus weeks. This is a short event that will only last a short while. Make sure not to miss it!

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