Our learnings from the field.
The model is the cheap layer.
When clients pay for production AI, they aren't paying for the model. They are paying for the architecture that catches what the model can't catch on its own.
Tenant isolation belongs in the database, not the application.
Roughly seventy percent of multi-tenant AI applications enforce tenant isolation in application code. Every one of them is one missing filter away from a cross-tenant leak.
Why your AI tools are still answering, not deciding.
A retrieval app and an autonomous system look the same at first glance. They behave nothing alike on day 90.
A Postgres lake beats your data warehouse, for the things that matter.
Most enterprise data problems are operational, not analytical. Postgres handles them. Add the warehouse only when a specific workload proves it has to.
Straterai Field Notes
Plain-English writing on building AI-native systems — how agents actually work, where they fail, and what we learn shipping them for real companies.
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