simonw/pedalican

Simon Willison shares his experience creating a custom animated pet (a pelican riding a bicycle) for Codex Desktop using GPT-5.6 Sol and gpt-image-2. He reverse-engineers the sprite generation process and documents the step-by-step workflow, including all intermediate images and prompts. The article provides practical insights into using AI image generation for creating game-ready animated sprites.

Simon Willison documents his experience using Claude Code to port the Moebius 0.2B image inpainting model to ONNX format for browser-based execution via WebGPU. He walks through the agent-assisted conversion process and shares a working demo that allows image inpainting directly in the browser without CUDA dependencies.

Simon Willison shares practical tips for optimizing Claude Code's Fable agent, including letting the AI use its own judgment for testing decisions and delegating coding tasks to lower-power subagents to save tokens. The article provides specific prompt examples and real-world results showing improved cost efficiency while maintaining productivity.

Simon Willison shares a cache-friendly approach for running Python tools with uvx in GitHub Actions, using the UV_EXCLUDE_NEWER environment variable to create deterministic cache keys without needing additional dependency files. The technique allows tools to be cached between workflow runs while providing a simple way to bust the cache when needed. This solves the problem of uvx repeatedly downloading packages from PyPI on every workflow execution.

This OpenAI Cookbook tutorial demonstrates how to build a speaker-aware meeting intelligence pipeline using audio diarization and transcription. It provides practical code examples for processing meeting audio to identify different speakers and generate structured meeting notes. The guide covers the technical implementation details and architecture for creating an automated meeting analysis system.