The developer of SokoFlow AI, a WhatsApp-based ERP for Kenyan SMEs, spent the first week of integrating an LLM focusing on defining the boundaries between the AI's interpretive role and the backend's control over factual data. The core principle established is that the LLM will interpret user language and select appropriate tools, but the backend will retain ownership of all data execution and truth validation. This approach aims to prevent the LLM from making autonomous decisions or executing actions, ensuring that the backend remains the single source of truth. AI
IMPACT Establishes a clear separation of concerns between LLM interpretation and backend truth, a common pattern for integrating LLMs into existing systems.
RANK_REASON Developer blog post detailing the integration of an LLM into an existing product, focusing on technical implementation and architectural decisions.
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