mentorAI - Tools

mentorAI - Tools

Overview

mentorAI has many tools available for each mentor. These tools can add new functionality to a mentor and there are more that may be rolled out in the future. This page is meant to describe these tools


Enabling a Tool

To enable a tool, follow these steps:

  1. Log into mentor.ai.syr.edu

  2. Navigate to the mentor you have permission to edit

  3. Under the drop down for the mentor, go to Tools

    screenshot showing the dropdown menu and location of tools highlighted with a red box
  4. In the Tools settings, enable the tool.
    Below is a screenshot with a red box showing where to enable a tool.

    screenshot
  5. The tool should now be enabled. Some tools require additional steps, outlined below.

 

Additional Steps for some Tools

Some tools need to be turned on at the prompt level as well, these include:

  • Code Interpreter

  • Image Generation

  • Screen Share

Once the tool is enabled in the Tools setting, navigate back to the mentor chat screen and enable the tool under the chat box.

Screenshot showing the box that needs to be activate on a new chat window, highlighted by a red box

 


Additional Considerations

Some tools work best, or only function, with some LLM models. Feel free to explore which model is best for each tool and your use case.


Image Generation

This tool can generate basic images when given a prompt.

Below is an example output:

screenshot of a mento prompt asking it to generate a yellow duck on a lake. The mentor responded with the generated image of a duck on a lake

Code Interpreter

This tool is helpful to visualize abstract math or data solutions.

Some use cases include:

  • Plotting integrals, derivatives, Riemann sums, and more.

  • Comparing functions (e.g., y = sin x vs. y = cos x) to study amplitude, period, and phase shifts.

  • Graph experimental data (e.g., projectile motion) and fit trend lines or polynomials to validate theoretical models.

  • Upload small datasets (CSV or pasted values) and request histograms, box plots, or scatterplots to analyze distributions and correlations.

screenshot showing the response from the mentor when asked to plot the integral of x-squared from 1 to 100. A graph is shown