Choosing AI utilities without guesswork
How to avoid decision paralysis, reduce tab-sprawl research, and make tradeoffs visible.
Blog
These essays are written from a practitioner's point of view. They are not marketing pages. They are an attempt to make the hard parts of AI work more understandable and a little less noisy.
What you'll find here
- practical mental models
- honest tradeoffs
- small, reusable workflows that make AI more dependable
Essays
Read ->
Asking better questions from your knowledge
Why retrieval-augmented systems fail quietly, and how to build a habit of evals that makes improvements repeatable.
Bringing private context to AI safely
Why private context matters, why naive uploads fail, and what a safer, calmer approach can look like.
