My automation is pretty simple. I use my https://llm.datasette.io tool where I have a template saved:

  llm "Generate an SVG of a pelican riding a bicycle" --save pelican

When a model comes out I first make sure LLM can talk to it - usually by updating the relevant plugin, but if it's on OpenRouter I can use it directly with https://github.com/simonw/llm-openrouter - sometimes I use this mechanism instead, for OpenAI-compliant API models: https://llm.datasette.io/en/stable/other-models.html#configu...

Then I run something like this:

  llm -m gpt-6-astra -m pelican

Then I grab the most recent log export as markdown:

  llm logs -cu | pbcopy

-c means most recent conversation, -u includes token usage

I paste that into https://gist.github.com and then paste the resulting Gist URL into the URL tab on https://tools.simonwillison.net/markdown-svg-renderer

If the model supports multiple reasoning levels I run it once per level and put those in the same file.

I really should automate this a bit more.

When AGI comes it will come as a pelican and gobble up all these troublesome little fishies who gripe and whine and moan about pelicans.

I'm always tired of seeing at the top of every new model release post on here. I say Simon should just keep it to Twitter.