enSmaller is not a chatbot plugin — it's a reasoning substrate. It analyses, organises, and verifies every step between a user question and an AI answer.
enSmaller follows a clear, eight-stage process that brings order, trust and intelligence to every AI interaction — controlling everything before the LLM ever sees a token, and learning from every result after.
Understands what's really being asked — not just the words, but the meaning behind them.
Finds, ranks and justifies the most relevant data using enSmaller's intelligent context engine.
Structures and weights information deterministically via graph and linguistic weighting to create a complete, balanced picture.
Applies rules for compliance, privacy and authority before any model is called.
Cross-checks facts, sources and logic to ensure accuracy, balance and traceability.
Delivers a minimal, high-signal prompt — clean, precise, and ready for reasoning.
The model interprets and generates the answer, guided by enSmaller's optimised context.
Evaluates output quality, stores validated insights, and adjusts rules for continuous improvement.
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