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Insights

Notes from the work.

Practical thinking about product strategy, applied AI, and the systems beneath an experience that feels simple.

Research landscape
01Applied AI

Building production RAG systems that actually work

Retrieval-Augmented Generation sounds straightforward until you face real documents, inconsistent data, and latency requirements that matter.

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02Product

The decisions that make an MVP useful before it's impressive

A first release earns its keep by reducing uncertainty. Here is how to choose what stays in the frame.

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03Engineering

Build the system, not just the feature

The delivery work after launch is where interface decisions become either leverage or ongoing drag.

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04AI Architecture

AI agent architectures for real products

What does an actual multi-agent system look like when it needs to be reliable, observable, and maintainable?

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05SaaS

The five SaaS architecture mistakes that cost the most to fix

Multi-tenancy, auth, and billing decisions made early define the product's future cost — not just its current state.

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06Design

Why design systems pay off at scale

The upfront investment in a proper design system returns significant velocity as products grow in complexity.

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