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Developer defines LLM boundaries for WhatsApp ERP, prioritizing backend truth

By PulseAugur Editorial · [1 sources] ·

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.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Developer defines LLM boundaries for WhatsApp ERP, prioritizing backend truth

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6 / 100
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Developer blog post detailing the integration of an LLM into an existing product, focusing on technical implementation and architectural decisions.
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product, infra
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Kirera paul murithi ·

    The LLM Interprets, the Backend Owns the Truth: Week 1 of Adding AI to a WhatsApp ERP

    <h2> I Spent Week 1 of Adding AI to My ERP Deciding What the AI Is Not Allowed to Do </h2> <p><em>SokoFlow AI Build Log, Week 1 of 6: tool boundaries, a timezone detour, and a bug with two correct answers</em></p> <p>Two correct answers. One question: <em>"Compare this month with…

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