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Shower thought: But how often per week do you run the pelican these days? And do you have it automated at this point or would the automation take out the meani

• simonw 13d ago
  My automation is pretty simple. I use my https://llm.datasette.io 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 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#configure-an-openai-compatible-model 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 https://gist.github.com and then paste the resulting Gist URL into the URL tab on https://tools.simonwillison.net/markdown-svg-renderer 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.