Manage and Improve Your AI Agent

Once your AI Agent is live, the journey doesn’t stop there. To make sure it continues to deliver high-quality responses and stays aligned with your goals, it’s important to review its performance, keep it updated, and train it over time.

This part will show you exactly how to manage and improve your AI Agent so it remains effective, helpful, and accurate.

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Why Agent Management Matters

AI Agents are like digital assistants. The better you train and support them, the more useful they become.

Managing your Agent helps you:

• Fix gaps in understanding or incorrect behavior

• Improve answer quality and response style

• Adapt to new topics, tasks, or audience needs

• Ensure the Agent always reflects your standards

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Step 1: Monitor Your Agent’s Interactions

Begin by reviewing how your AI Agent is performing:

• Look at recent user interactions or queries.

• Note where users seem satisfied or where follow-up questions occur.

• Identify if the Agent misses key points or misunderstands tasks.

These reviews give you real, practical insights into how well your Agent is doing its job.

Tip: If users keep asking the same type of question or getting confused, that’s a strong sign your Agent needs more training or adjustments.

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Step 2: Update the Tool Prompt or Instructions

If your Agent’s responses aren’t quite right:

• Revisit the Tool Logic Prompt (the instruction you gave during setup).

• Make your instructions more specific, structured, or detailed.

For example:

• If users are getting vague feedback on essays, update the prompt to include phrases like “Give specific examples in your feedback” or “Avoid generic advice.”

You can change the logic anytime — just go into the Agent settings, update the prompt, and save changes.

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Step 3: Refresh or Expand the Knowledge Base

Your Knowledge Base is what powers deeper understanding. Keeping it current ensures your Agent always has access to the most relevant and correct information.

Here’s how to manage it:

• Add new documents if your standards, rubrics, or strategies evolve.

• Replace outdated files to ensure the Agent isn’t using old data.

• Remove irrelevant or unused files to keep things clean.

Tip: Plan to update your Knowledge Base every 3–6 months or whenever you introduce a new workflow, product, or curriculum.

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Step 4: Adjust Capabilities (If Needed)

If your Agent’s task changes or expands, you might need to turn on or off additional capabilities:

• Enable Internet Access if you now want your Agent to look up real-time info.

• Activate the Math Environment if your Agent needs to solve calculations.

• Add new Knowledge Bases if you're covering new topics or departments.

You can always revisit these in the Agent settings and update them as your needs grow.

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Step 5: Use Multiple AI Agents for Different Tasks

Instead of trying to make one AI Agent do everything, consider building multiple task-specific Agents.

Examples:

• One Agent for grading

• Another for answering FAQs

• A third for training or tutorials

Each one can have its own logic, tone, knowledge base, and behavior. This keeps each Agent focused, specialized, and easier to manage.

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Step 6: Test and Iterate Regularly

Test your Agent the way your users would:

• Try asking different types of questions

• Review the quality and structure of the answers

• Check if it follows your instructions correctly

Each test gives you valuable information that you can use to fine-tune its performance.

Tip: Treat your Agent like a work-in-progress. The best-performing Agents are the ones that get regular updates and reviews.

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Step 7: Archive or Retire When Needed

If an Agent becomes outdated or is no longer useful:

• You can archive it so it’s no longer visible to users.

• Or delete it permanently if it's no longer needed.

This keeps your workspace clean and makes it easier to manage your current Agents.

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Final Checklist: Managing Your AI Agent

Task	Purpose	How Often
Review interactions	Spot issues or gaps in answers	Weekly or monthly
Update tool prompt	Improve logic and response accuracy	As needed
Refresh knowledge base	Keep information current	Every 3–6 months
Adjust capabilities	Add/remove tools like internet or math	When your needs change
Test agent performance	Ensure it responds well	Before launch and during updates
Archive outdated agents	Clean up old or unused setups	Occasionally

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Final Thought

An AI Agent is not a one-time setup — it’s a living assistant that improves the more you train and refine it.

With regular updates and thoughtful management, your Agent can become one of the most effective tools in your digital workflow — always ready, always aligned with your standards, and always working for you.

Need more support? Our support team is available 24/7 through:

• Email: [e-mail]