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Architecture, automation, and product lessons from building business systems and governed AI on the JVM.
Learn why production AI approval requires suspension, durable state, replay-safe continuation, idempotency, and explicit approval outcomes—not just a confirmation dialog.
Read articleWhy prompt engineering is not security: how to govern AI tool calling, side effects, durable human approval, and runtime policy in Java and Spring Boot applications.
Read articleLearn how to integrate LLMs into Java and Spring Boot using typed contracts, structured output, model routing, tool governance, human approval, resilience, and audit evidence.
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A practical case study of building Sofia, an AI voice agent that calls new leads, captures structured context, and sends a meeting-booking follow-up.
Read articleThe engineering decisions behind TramAI and why production AI systems need explicit boundaries, permissions, portability, and auditability.
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