Why My AI Service Advisor Forgot Everything
A practical memory strategy for LangGraph workflows, using an automotive service advisor to explain conversation context, execution state, persistent knowledge, and memory governance.
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From Automotive Diagnostics to Banking Complaints: What I Learned Building a Local LLM Evaluation Platform
A second domain experiment showing why workflow behavior, retrieval shape, and reusable evaluation architecture matter more than simply adding more context.
From Baseline to RAG to Fine-Tuning: What Actually Works for Automotive AI
A practical experiment comparing baseline, RAG, fine-tuning, and combined approaches for automotive warranty and service diagnostics.