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Insights on AI infrastructure, Decision Coherence, and building systems for the machine-driven era.

Feature Freshness, Explained

Why stale features silently degrade model performance—key metrics, failure modes, and how to keep features fresh at decision time.

Boyd StoweJan 15, 20269 min read

Latest Articles

29 articles

AI Infrastructure

Semantic Operators: Run LLM Queries Directly in SQL

Classify, summarize, and extract data using LLM reasoning inside your database. No external pipelines, no data movement — just SQL.

Jan 28, 20269 min read

Data Engineering

Time Travel Queries: How to Query Your Data's Past [2026]

Learn how time travel queries let you query any table at any past timestamp. Recover deleted rows, debug data issues, and audit changes with SQL.

Jan 28, 202610 min read

Data Engineering

Why Data Freshness Matters: 5 Real-World Use Cases [2026]

Discover 5 domains where stale data causes real revenue loss. Learn why data freshness is critical for fraud, pricing, and AI.

Jan 28, 202612 min read

AI Infrastructure

AI Agent Coordination: 8 Proven Patterns [2026]

Learn 8 proven patterns to stop AI agents from conflicting. Production-tested coordination strategies.

Jan 28, 202612 min read

Real-Time Data Engineering

Data Freshness vs Data Latency: What's the Difference?

Your system responds in milliseconds — but are those milliseconds returning the truth? Learn why fast queries on stale data are worse than slow queries on fresh data.

Jan 25, 202610 min read

Real-Time Data Engineering

How to Evaluate a Feature Store in 2026

Most feature store evaluations check the wrong boxes. Here's what actually matters: the criteria that separate infrastructure you'll outgrow from infrastructure that scales with you.

Jan 22, 202611 min read

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