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Simon Willison

@swillison

https://simonwillison.net

Channel created: November 09, 2011

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Using Claude Code for web to build a tool to copy-paste share terminal sessions

I used the new Claude Code for web to build https://tools.simonwillison.net/terminal-to-html - a tool that lets you copy and paste terminal sessions on macOS and turn them into HTML that preserves ...

Using Claude Code to build a GitHub Actions workflow

A short demo of using Claude Code to add a new feature to one of my GitHub repositories by implementing a GitHub Actions workflow for me. Full code written by Claude can be found here: https://gis...

Datasette Public Office Hours #06

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Datasette Public Office Hours 31st January 2025

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Datasette comments, pins and write UI with Alex Garcia

Alex Garcia demonstrates three plugins for Datasette: datasette-write-ui, datasette-pins and datasette-comments. https://github.com/datasette/datasette-write-ui https://github.com/datasette/datase...

Simon Willison on new Datasette Enrichments

Simon Willison demonstrates the latest improvements to Datasette Enrichments - https://enrichments.datasette.io/ and https://github.com/datasette/datasette-enrichments

llm-questioncache with Nat Knight

llm-questioncache builds on top of https://llm.datasette.io/ to cache answers to questions, using embeddings to return similar answers if they have already been stored. https://github.com/nathanie...

Congressional Travel Explorer with Derek Willis

Derek Willis describes a project at the University of Maryland using https://datasette.io/ and AWS Textract and Claude to analyze congressional travel. https://cnsmaryland.org/interactives/fall-20...

llm-consortium with Thomas Hughes

Thomas Hughes presents a collection of his plugins for https://llm.datasette.io/ - including llm-model-gateway and llm-consortium. https://github.com/irthomasthomas/llm-model-gateway adds an OpenA...

llm-logs-feedback with Matthias Lübken

llm-logs-feedback is a plugin by Matthias Lübken for https://llm.datasette.io/ which adds the ability to store feedback on prompt responses, using new "llm feedback+1" and "llm feedback-1" commands...