OpenClaw Project #openclaw #ai #tech #llm #coding #lobster

Jessica Wang · Intermediate ·🧠 Large Language Models ·4mo ago

Key Takeaways

The video demonstrates the use of OpenClaw, an AI coding tool, to automate the evaluation of AI models, specifically in the context of comparing the performance of different models in generating SVGs.

Full Transcript

So, I've been using OpenC Claw for the last couple weeks, and here's what I'm doing with it. So, often when I'm scrolling on Twitter, I will see statements saying things like Gemini 3.1 is better at making SVGs than other models. Whenever I see that, I always want to check if that's true. And it just so happens that I work in the AIE eval space for my job. So, what I'll do is one, I'll paste those Twitter links into a Slack channel. And two, every morning, I have OpenCL scrape those tweets from my Slack channel. Then number three, it kicks off an automation where it basically codes an eval for me. That involves creating its own data set, its own prompt, and its own scoring system. I did give it a couple of example code bases to give it a baseline of how things should be created. And then once it runs the experiment, it checks the results and creates an analysis that it then posts to Slack with a link to the experiment and a full report that looks like this. I've honestly found this to be super useful so far, and I'm really impressed.
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The video shows how to use OpenClaw to automate the evaluation of AI models, including creating custom data sets, prompts, and scoring systems, and posting the results to Slack. This automation can save time and increase productivity in the AIE eval space.

Key Takeaways
  1. Paste Twitter links into a Slack channel
  2. Configure OpenClaw to scrape tweets from the Slack channel
  3. Set up automation to code an eval
  4. Provide example code bases for baseline creation
  5. Run the experiment and analyze the results
  6. Post the results to Slack with a link to the experiment and a full report
💡 By automating the evaluation of AI models using OpenClaw, users can quickly and easily compare the performance of different models and make data-driven decisions.

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