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Intent-execution separation for LLM agents: the model emits typed intent (SIF) in a domain vocabulary; a deterministic layer validates, scopes, translates, and executes it. Java/Spring + Vue, with two demo domains (legal, vet).
0 starsJava
An LLM agent that emits typed intent
by gabert·Jun 24, 2026·3 points·1 comment
AI Analysis
●●SolidBig BrainBold Bet
LLM never touches the substrate, deterministic layer handles all execution and validation.
Strengths
- •Intent-execution separation prevents hallucinated function calls and unsafe operations
- •Domain ontologies in plain YAML define typed vocabulary without hand-written service layer
- •Two working demo domains (legal, vet) validate the pattern empirically
Weaknesses
- •Java/Spring + Vue stack limits appeal compared to Python agent frameworks
- •Demo domains are narrow, unclear how pattern scales to complex applications
Category
Target Audience
Developers building production LLM agents needing safety and auditability
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LangChain tools · SmythOS · agent frameworks with tool calling
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