LLM Council – Run multiple LLMs with critique and consensus eval
Async multi-LLM synthesis with critique—cuts latency via parallel calls, not sequential voting.
The only Next.js SaaS boilerplate with 11 LLM providers in semantic consensus, HSP fail-closed gate (Patent Pending), and EU AI Act audit-grade compliance. Production code from api.quorum-ai.dev.
Boilerplate with 14 LLM providers, but orchestration isn't architectural novelty.
AI SaaS founders, developers building multi-model applications
LangChain · LiteLLM · Portkey
Async multi-LLM synthesis with critique—cuts latency via parallel calls, not sequential voting.
Detects hallucinations via latent space geometry instead of text analysis, but 54% detection rate is incomplete.
Peer-reviewed LLM hallucination detector using uncertainty quantification, published in JMLR and TMLR.
Regression tests catch cross-domain hallucinations, but prompt-based approach won't scale.
Monitors internal latent collapse before tokens are sampled, not output semantics.
Detects hallucinations mid-generation via hidden state geometry, not output analysis.