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Promptic helps teams evaluate and optimize GenAI models, prompts, agents, and tool use using their own data and metrics, with tracing for cost, latency, and errors.

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Promptic is an AI optimization platform for teams developing generative AI applications, LLM workflows, and AI agents. It helps benchmark models, improve prompts, compare agent architectures, and evaluate tool use and information extraction against real use-case data. Upload example inputs and expected outputs, then select evaluation metrics such as quality, cost, and latency. Promptic runs candidates against the same dataset, highlights performance differences, and helps identify a configuration suited to your requirements. Its prompt optimization and model comparison capabilities support evidence-based iteration rather than relying solely on manual prompt testing. Promptic also provides OpenTelemetry-based tracing for LLM calls, tool calls, and workflow steps, including token usage, cost, and latency. Teams can inspect traces and evaluation results to find errors or bottlenecks, then use the findings to refine and validate changes to their GenAI applications.

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