Indietool
Prefactor
Evaluate your AI agents in real time.
Prefactor scores every run in production the moment it happens (quality, drift and risk) then wires those evaluations into action, so a failing agent is caught live, not charted after.
•What is Prefactor?
Prefactor is an AI evaluation tool designed to assess agent performance in real-time, focusing on quality, drift, and risk. It automates action based on evaluations to enhance operational reliability.
•Key Features
•How to use it
To use Prefactor, install the CLI with a simple command to connect your workspace. Integrate the SDK with your agents, and define your evaluation metrics for real-time monitoring and action.
•Background
Prefactor was created to bridge the gap between observability and intervention in AI operations. It empowers teams to not only monitor agent performance but also proactively manage risks through automated actions.
Frequently Asked Questions
How does Prefactor ensure real-time evaluations?
Prefactor scores every agent run immediately upon execution, providing instant feedback on quality, drift, and risk, allowing for timely interventions.
What integrations does Prefactor support?
Prefactor supports integrations with TypeScript, Python SDKs, and platforms like LangChain, Claude, and Vercel AI for seamless implementation.
Can Prefactor help manage data leakage risks?
Yes, Prefactor evaluates risks including data leakage during agent operations and can intervene to pause or block risky actions in real-time.
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