Persistent conversation is easier to reason about when memory is treated as application state instead of hidden prompt magic.
Session state
Represent the conversation and retained memory explicitly, with lifetime, storage, and failure semantics.
Memory selection
Not every historical message belongs in every prompt. Recency, summaries, retrieval, and explicit user state can determine what is relevant.
Prompt construction
Keep prompt assembly separate from storage so changes can be tested without rewriting the persistence layer.
Model boundary
Use a stable interface between orchestration and model backends so different models can be evaluated without changing the client contract.
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AI Developer / ML Engineer building end-to-end AI systems from research to production, with a focus on multimodal AI, LLM applications, retrieval, MLOps, and systems engineering. He is based in Rawalpindi, Pakistan and is the founder of GROVE SYSTEMS.