© 2026 YOLOX SYSTEM. ALL RIGHTS RESERVED.
Gives your agent the ability to evaluate and improve its own output through iterative reflection, self-critique, and refinement loops.
When you need high-accuracy generation for quality-critical reports
When you want your agent to self-correct code based on test results
When you need output to match a specific rubric or style guide
Define the specific evaluation criteria or success rubric
Set the desired quality threshold and maximum refinement loops
Observe the agent as it generates, critiques, and refines its output
Review the final version along with the iterative improvement log
You
Generate a technical report on our API architecture and refine it until it scores at least 0.9 on clarity and accuracy.
Agent
I'll implement an Evaluator-Optimizer pipeline for this task. I'll first generate a draft, then act as a 'judge' to score it against your accuracy and clarity rubrics. If it falls below 0.9, I'll identify the specific failing points, refine the text to address that feedback, and repeat the cycle until the threshold is met, providing you with a high-quality final report and a log of all improvements made.
Gives your agent the ability to quickly build and deploy modern AI chat interfaces with built-in tool streaming, approvals, and generative widgets.
Gives your agent the ability to add a visual feedback and annotation toolbar to Next.js projects for real-time syncing between users and AI agents.
Gives your agent the ability to run over 150 cloud-based AI applications for image generation, video creation, web search, and social media automation.
Gives your agent the ability to anticipate your needs, survive context loss, and continuously improve through structured protocols.
Gives your agent the ability to implement safety, trust, and policy controls to ensure AI agents operate within defined security boundaries.
© 2026 YOLOX SYSTEM. ALL RIGHTS RESERVED.