Insights

Notes from the studio

Notes on AI engineering, data infrastructure and productivity from the team building Luupp.

AI Engineering

Why agentic workflows fail in production, and how to fix it

Most agentic systems demo well and fall apart in production. Here's where they actually break, and the guardrails that hold up.

12 August 2026 · 6 min read

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Big Data

The infrastructure hidden behind high-performance recommendation engines

A recommendation engine is a small model sitting on top of a large amount of infrastructure. Here's the part that actually determines whether it works.

22 July 2026 · 7 min read

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Productivity

How tracking AI vs. Human efficiency changes engineering management

Once you can measure AI output against a human baseline, engineering management stops being a guessing game. Here's what actually changes.

3 July 2026 · 5 min read

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