Building reliable AI agents requires explicit architectural decisions about infrastructure, model selection, and tooling. Cloud providers offer better long-term integration than direct AI vendors for organizations. API fragmentation across providers can be solved with unification layers like LiteLLM. Small Language Models
•1m read time• From building.nubank.com
Table of contents
Infrastructure first: where your models live mattersThe fragmentation problem: too many APIsWhy smaller models often work better for agentsWhy Clojure fits this problem spaceFrom theory to practice: the live demonstrationConclusionReferencesSort: