To use a single agent:
In any input box, type @ and select AI Model Optimizer from the agent selector. After that, enter your prompt or question. The agent will start working on your task and respond directly. To use multiple agents:
No extra steps needed—when your request needs it, the app will automatically involve a group of relevant agents to deliver the most complete answer.

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What does this agent do?

AI Model Optimizer helps you get the most out of your artificial intelligence tools. It evaluates model choices, tunes parameters, and suggests ways to boost performance—so your AI works smarter and more efficiently.

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Why should I use it?

Use this agent when you want to make sure your AI solutions are well-chosen, high-performing, and optimized for real-world results. It ensures you get maximum value and reliability from your AI investments.

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When should I use it?

  • Setting up or improving AI-powered products or features
  • Choosing between different model options
  • Tuning and optimizing AI for better results
  • Monitoring, measuring, or troubleshooting AI performance

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How does it work?

Describe your AI goals, current setup, or challenges. The agent reviews your use case, helps pick the right models, tunes and tests them for top performance, and gives clear guidance on deployment and monitoring. It also checks for fairness and performance.

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What do I get?

You’ll receive:
  • An AI optimization playbook with step-by-step recommendations
  • Model selection and tuning guides
  • Implementation and monitoring frameworks
  • Evaluation strategies for ongoing improvement

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How do I use it in the app?

  1. In any input box, type @ and select AI Model Optimizer
  2. Enter your prompt or describe your AI use case, product, or goals
  3. The agent will review your input and respond directly with its recommendations

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Example

“We used AI Model Optimizer to improve our recommendation engine. The agent evaluated model choices, suggested parameter tweaks, and helped us set up ongoing monitoring. Our AI is faster, more accurate, and more reliable.”

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Tips

  • Share your use case, data, and performance goals for best results
  • Use when launching, scaling, or troubleshooting AI features
  • Combine with Solution Blueprint Architect or Responsible AI Champion for a complete approach