Simor

Data Infrastructure for Production AI

Practical writing on AI data engineering, feature stores, and the infrastructure choices that determine whether AI systems work in production.

AI Infrastructure for Legacy Systems: Modernizing 20-Year-Old ERPs with AI
AI Infrastructure for Legacy Systems: Modernizing 20-Year-Old ERPs with AI
18 Feb, 2026 | 13 Mins read

A manufacturing company runs their operations on an ERP system installed in 2004. The vendor still supports it. The team knows how to maintain it. The integrations are stable. It works. The problem i

Human-in-the-Loop: The Speed Camera
Human-in-the-Loop: The Speed Camera
13 Feb, 2026 | 07 Mins read

A speed camera does not stop the car. It captures an image at a specific moment, records the license plate and timestamp, and sends the data to a system where a human makes the judgment. The camera ob

The Governance Layer: Managing AI Risk, Compliance, and Audit
The Governance Layer: Managing AI Risk, Compliance, and Audit
07 Feb, 2026 | 13 Mins read

A healthcare system deployed an AI triage assistant. It worked well in testing. In production, it started routing patients with chest pain to low-priority queues. The error was subtle and infrequent.

Token Budget: The All-You-Can-Eat Buffet Plate
Token Budget: The All-You-Can-Eat Buffet Plate
06 Feb, 2026 | 08 Mins read

The buffet is unlimited in theory. You can make as many trips as you want. But the plate you carry is finite. Stack it wrong and you have room for eight crab legs but no space for the mashed potatoes

Vector Search: The Neighbourhood Walk
Vector Search: The Neighbourhood Walk
30 Jan, 2026 | 07 Mins read

You are looking for a place to swim in warm weather. You do not know the address. Instead, you walk into a city where the street layout encodes meaning. You ask a local: "Where can I swim somewhere wa

AI Agent Orchestration Patterns: From Chaining to Multi-Agent Systems
AI Agent Orchestration Patterns: From Chaining to Multi-Agent Systems
27 Jan, 2026 | 13 Mins read

A software debugging agent receives a bug report. It needs to search code, understand the error, propose a fix, write tests, and summarize for the developer. None of these steps are independent. Each

Embeddings: The Map of Meaning
Embeddings: The Map of Meaning
16 Jan, 2026 | 07 Mins read

You have a treasure map where X marks the spot. Not for gold, but for meaning. The map places every concept at a coordinate. Related concepts sit near each other. "Dog" and "puppy" are neighbors. "Cat

Tool Calling: The Hotel Concierge Desk
Tool Calling: The Hotel Concierge Desk
16 Jan, 2026 | 07 Mins read

You stand at a hotel concierge desk. You want a table at the restaurant downstairs, a reservation at the spa, theater tickets, and a car to the airport. You do not want the concierge to do these thing

Designing the Enterprise Knowledge Layer: Beyond RAG
Designing the Enterprise Knowledge Layer: Beyond RAG
16 Jan, 2026 | 14 Mins read

Most teams implement retrieval-augmented generation and call it a knowledge layer. Give the model access to a vector database, stuff in some documents, and ship. This approach works for demos. It fall