Inner Atlas Writing
Field Notes
Assorted writings on psychology, mental-wellness, and practical AI work.
Field Note
Building AI Systems
A practical structure for reliable AI behavior, lower drift, and controlled cost.
How Inner Atlas evolved its AI architecture: deterministic vs non-deterministic layers, retrieval and reranking discipline, assumption lifecycle, scoped multi-pass workflows, and human feedback loops that keep outputs aligned without token bloat.
Field Note
Working With AI
Shaping intention, context, verification, and handoff into reliable workflows.
A practical guide to using AI, as valid for beginners as for experienced developers. Insight into the mental models and workflows that lead to reliable results, and common failure modes to avoid.