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Explores techniques used in production AI agents to avoid hallucinations when controlling real devices with multiple tools.
Built a competitive-intel MCP server that returns only sourced data to prevent AI agents from fabricating competitor numbers.
The author built an AI research tool that reduces hallucination through strict orchestration and harness engineering, enabling users to supervise research decisions and verify sources.
DALM proposes a domain-algebraic language model that generates text under exact structural constraints derived from a domain lattice, addressing hallucination by organizing knowledge into separate domain fibers with algebraic guarantees. The model uses three-phase structured denoising (domain → relation → concept) with domain-annotated training data to prevent cross-domain contamination.