Giving the system just enough "samples" of your style and requirements to ground the output.
Fast forward to today, and developer-bloggers like Simon Willison are applying a similar "sampling" logic to software engineering through . Instead of writing every line of boilerplate, they: Sample the model's capabilities with zero-shot prompts. Iterate based on a "sampling" of the output's quality. Simon Sampler System
While there isn't a single official tool specifically named the "Simon Sampler System," the concept appears to combine two major areas associated with Simon Willison and technical sampling: (like Simon's Algorithm ) and AI-assisted writing strategies popularized on Simon Willison's Weblog . Giving the system just enough "samples" of your
A "good" blog post—or a good piece of code—isn't just a dump of information. According to modern AI-assisted workflows, high-quality output requires: Iterate based on a "sampling" of the output's quality
The "Simon Sampler" system isn't a piece of software you download; it’s a . It’s about leveraging tools—be they quantum oracles or LLMs—to do the expensive searching for you, so you can focus on the final 10% that actually matters. Here's how I use LLMs to help me write code