Lucidic.AI

Lucidic.AI is a training platform designed to improve the reliability and performance of AI agents without manually tuning model weights. The platform enables developers to parameterize their agentic systems—exposing configurable elements like LLM selection, system prompts, memory, context, tools, and guardrails—then systematically optimize them through targeted simulations. Agent Parameterization: Formalize and expose the key components of your AI agent system that typically require manual tweaking Simulation-Based Optimization: Improve agent behavior and reliability through targeted simulations rather than black-box trial-and-error Transparent Improvements: Make visible, understandable changes to agent performance rather than relying on opaque optimization Multi-Model Support: Compatible with GPT-4, Claude, Gemini, Llama, and other LLMs Comprehensive Configuration: Tune system prompts, memory management, tool descriptions, guardrails, policies, and contextual parameters Ideal for teams building production AI agents who need to systematically improve reliability, reduce failure modes, and move beyond manual configuration tweaking. The platform is particularly valuable for enterprises where agent consistency and explainability are critical requirements. Lucidic.AI represents a shift from manual AI agent development toward automated, visible, and data-driven agent improvement.