AI Operations Insights

Practical guides for teams
building with AI.

No fluff. Just what actually matters when you're scaling annotation pipelines, evaluating vendors, and shipping AI products fast.

Latest

How to Evaluate an AI Annotation Vendor: The 12 Questions We'd Ask

Most AI teams hire annotation vendors after a demo and a pricing call. By the time quality problems surface, you've already lost weeks of model training time. Here's the framework we'd use to hire right the first time — covering domain expertise, QA processes, speed, and data security.

Coming August 2026

What Is Inter-Annotator Agreement (IAA) — and Why Your Model Depends On It

AI Data Quality · ~6 min read
Coming September 2026

3D Point Cloud Annotation: What It Is, How It Works, and How to Scale It

Spatial Computing · ~8 min read
Coming October 2026

The Real Cost of Bad Training Data (And How to Avoid It)

Model Performance · ~6 min read
Coming November 2026

How to Scale an AI Annotation Pipeline Without Hiring

Ops Strategy · ~7 min read
Coming December 2026

AI Data Ops in 2026: What Seed-to-Series B Teams Actually Need

Startup Strategy · ~8 min read

Evaluating vendors right now?

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