Collective Intelligence Consensus Engine
A LiteLLM rebuild that turns one model call into a small debate board with proposal, critique, adversarial review, and synthesis.
A LiteLLM rebuild that turns one model call into a small debate board with proposal, critique, adversarial review, and synthesis.
A LiteLLM-native agent that finds product knowledge gaps, ranks evidence, and gates model-written hypotheses.
A LiteLLM-native rebuild of the smolagents code-agent pattern with approved tool calls, AST validation, and provider tests.
A LiteLLM-native operations gateway with Bayesian-style risk scoring, escalation thresholds, and an audit trail.
Most AI API overspending comes from three invisible patterns. This post breaks them down with real examples anyone can follow.
An Educationla demo of AI governance intake agent that flags review areas, gathers evidence, and avoids pretending to give legal advice.
A small LiteLLM-native rebuild showing how roles, actions, messages, and a shared environment create an inspectable multi-agent workflow.
A LiteLLM-native rebuild of an EvoAgentX-style agent loop with one approved tool and clear execution traces.
A LiteLLM agent that verifies claims first, then escalates hard mismatches into structured reasoning.
A LiteLLM agent that senses weak KPIs, proposes prompt updates, and routes risky self-improvement through approval gates.