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.