> Source URL: /blog.index
[styles]: ./style.css

# Blog

Short notes on data, AI, coursework, and project process. These posts can stay lightweight: a clear question, a small artifact, and a few practical takeaways.

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# Featured Post

## Week 1: Turning a Question Into a Project

A first process note for Math and the Mouse, using one visual artifact to connect curiosity, research framing, and next steps.

[Read post](./matm.week-1.blog.md)

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# Post Template

Use this structure for future posts:

- Working title: one concrete question or claim.
- Context: the class, project, internship, or problem that prompted the note.
- What I tried: tools, data, sources, or reasoning steps.
- Artifact: chart, image, notebook, screenshot, prompt, or model output.
- What I learned: 2-4 observations that changed the next step.
- Next step: one specific thing to test, build, read, or revise.

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# Draft Ideas

## Reading Model Output Like Data

A short reflection on turning AI responses into comparable observations instead of treating them as one-off answers.

## From Spreadsheet to Story

A note on moving from raw tables to charts that make a non-technical decision easier.

## Learning Log: Visualization Choices

A weekly format for documenting why a chart type, annotation, or color choice helped or hurt the argument.


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## Backlinks

The following sources link to this document:

- [Blog index](/index.path.llm.md)