Lucidic AI

Lucidic AI is a platform that co-trains both the language model and its surrounding harness—system prompts, memory, tools, guardrails, and policies—as a single system. It addresses the problem that optimizing only the model weights or only the prompt often fails to produce reliable, production-ready agents, because the two halves are interdependent. By training them together, Lucidic aims to improve agent performance more efficiently than weight-only post-training or harness-only optimization.

The platform works in three phases: defining the trainable surface of the agent, exploring the behavior space through simulations built from production traces, and co-training both harness and weights using genetic algorithms for harness search and reinforcement learning for policy optimization. It integrates with LLM providers such as OpenAI, Anthropic, and Gemini, and agent frameworks including LangChain and LangGraph. Features include custom reward definition, intelligent candidate exploration across thousands of configurations, and controlled rollouts for safe production deployment.

Lucidic is designed for teams building and deploying agentic systems, particularly in enterprise contexts where reliability, accuracy, and customer satisfaction metrics matter. The website does not specify pricing, plans, or trial availability.