April 20, 2026 · 1 min read
Analytics Without Seeing the Data
AI agents can clean and explore a dataset in minutes without you ever looking at it. What that does to analyst intuition, and why the pipeline becomes the product.
lab notes
short notes from testing AI agents against real data: what works, what breaks, and where the analytics job is going.
#agentic ai
5 notesApril 20, 2026 · 1 min read
Massive Datasets Are Built, Not Found
Large datasets aren't found, they're built. Why the real edge is control over how data is generated, and what a self-feeding collection loop looks like.
April 09, 2026 · 2 min read
Current Workflow for Data Analytics
How I run exploratory data analysis with Codex and Jupyter, what a business analytics master's didn't teach about messy data, and the bottlenecks left.
April 08, 2026 · 1 min read
The Beginning of the Agent's Final Form
An AI agent is three swappable parts: markdown files holding your preferences, an LLM that issues commands, and a Unix shell with cron. Why that matters.
March 25, 2026 · 1 min read
Agentic EDA Is Still Bottlenecked By Framing
Agents make exploratory data analysis cheap, but vague or shifting questions still sink it. Three rules for framing the analysis before the agent runs.