The short answer
Build infrastructure when it creates differentiated control or economics; buy it when reliability and speed matter more than custom ownership.
AI teams can build almost every layer themselves. The harder question is which layer deserves the attention.
Custom infrastructure makes sense when it improves a differentiated workflow, unlocks unique economics, or creates control competitors cannot easily reproduce.
Hosted components are often a good trade for commodity capabilities. The saved engineering time can go toward evaluation, product experience, and customer learning.
A useful note, once a week
Make room for better signal.
About the author
Maya writes about the systems, people, and practical choices shaping the next generation of AI products.
More from Maya Chen →
A faster model can change the economics of a product. It does not, by itself, create a product people keep.
Benchmarks are a starting point. Here is a practical rubric for choosing the right tool stack for a real team.
Agent-ready APIs are not only about endpoints. They need clear states, predictable errors, and safe ways to undo work.
Keep the good stuff coming
One thoughtful note on AI, agents, and AGI. No noise.
Have a thought? Comments are powered by a lightweight GitHub discussion embed.
