Blog · AI & ML
Writing on ai & machine learning.
Writing on the operating layer that decides whether enterprise AI ships. Evaluation discipline, retrieval architecture, governance, cost ceilings, and the failure modes we see most often in the field.
- Posts
- 3 published
- Owner
- CORTEX
- Persona
- CTO/CIO + Head of AI
Browse other tracks
16 editorial tracks
16 tracks · scroll to browse
Posts
In ai & ml.
- AIEnterprise
Why most enterprise AI demos never ship.
82% of enterprise AI projects never reach production. The reason isn't model quality; it's the operating substrate: eval, governance, and deployment topology.
- James Carter
- 8 min
- Apr 1, 2026
- AIRAG
The production RAG checklist no one shipped you with the demo.
What separates a RAG demo from a production-grade system. Twelve concrete items, in order, with the failure mode each one catches.
- James Carter
- 9 min
- Mar 8, 2026
- AIEvaluation
Eval datasets are more valuable than models.
Models change every quarter. The dataset that tells you whether the new model is better than the old one for your workload is the asset that compounds. Most teams haven't started.
- James Carter
- 7 min
- Feb 14, 2026