Perspective from the team building this every day
Notes on applied AI, engineering practice, and what we're seeing across client engagements.
When to build vs. buy your generative AI stack
Off-the-shelf AI tools get you to a demo fast. Here's how to decide when a custom-built system is actually worth the investment.
Five techniques we use to cut LLM latency in production
Streaming, speculative decoding, and smarter caching — the practical techniques that make AI features feel instant instead of sluggish.
Designing trust into AI-powered products
Users don't trust AI by default. The interface decisions that determine whether they will — and the patterns we reach for.
AI agents vs. traditional automation: what's actually different
The term 'AI agent' gets used loosely. Here's the practical distinction that determines which one your workflow actually needs.
How to modernize a legacy system without stopping the business
The strangler-fig pattern, feature flags, and other techniques that let you replace core systems incrementally, in production.
The state of enterprise AI adoption in 2026
What's separating companies seeing real ROI from AI investment from those stuck in pilot purgatory.
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