We built Chiranjeevi Tech because we kept seeing the same pattern teams spending more time stitching together LangChain, vector databases, LLM APIs, and deployment pipelines than actually building their product. Curious to hear from others: how are you managing the AI tooling sprawl in your stack right now? Are you handling it in-house or outsourcing the integration layer?