Why We Build AI the Expensive Way
Adversarial review, grounded corpora, and why accuracy is a solved engineering problem most AI products don't bother building.
Adversarial review, grounded corpora, and why accuracy is a solved engineering problem most AI products don't bother building.
Noevant's intelligence layer extends into telecommunications infrastructure. The SBC Analyzer is what happens when deep domain knowledge becomes an AI product.
Succura's edge-AI box watches for a person on the floor and escalates. Could the same architecture watch a herd — static cameras plus a scheduled autonomous drone — and flag a specific animal that hasn't been seen in days? An honest art-of-the-possible look at what's real, what hardware it needs, an
The most useful AI tools triangulate across public data that already exists. Seven free APIs, one AI synthesis layer, confidence scoring based on source agreement. Here's the pattern and why it matters.
Marine veteran. 32 years in enterprise IT — communications, collaboration, and infrastructure. No practical development or coding experience before this build. Two W-2 consulting engagements. Six companies under one holding entity. No back-office staff. This is the writeup of what running that experiment actually looks like — the tools, the
"AI chief of staff" gets used loosely. Here's what one actually does for a high-revenue operator — persistent memory, cross-company context, and execution — based on a system run in production across six companies.