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Client task template
A student needs to understand degree progress.
AI Degree audit agent
A requirement audit that distinguishes completed, remaining, and unresolved credits.
For universities
Create an AI agent to help students audit degree requirements and plan their next courses. Give it your knowledge and let clients use it on its own web page.
Agentplace lets universities create a customer-facing AI agent to help students audit degree requirements and plan their next courses. You provide the service knowledge and rules. The client opens the agent’s own URL, explains the situation by text or voice, and works with a result that updates on the page as they clarify their request. The examples below cover specific parts of that journey. Open a template to inspect its result and requirements before choosing what to offer.
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Help students audit degree requirements and plan their next courses.
The agent asks for the relevant details, applies your knowledge, and presents the result on its page. A changed answer updates the work in that same session. You choose whether clients pay for the digital service or continue to a booking, your team, or a connected system.
Course catalogs, prerequisite rules, teaching materials, application requirements, and enrollment records.
Create my AI agentFind your use case
Each link opens the full example with its client result, required knowledge, and setup. Starting points show a reusable task and need to be adapted to your business.
01
Client task template
A student needs to understand degree progress.
A requirement audit that distinguishes completed, remaining, and unresolved credits.
02
Client task template
A student needs to plan eligible courses.
A proposed schedule with prerequisite checks and unresolved course constraints.
03
Client task template
An applicant needs to finish a college application.
A completed information packet with missing documents and the next submission step.
Separate learning from administration. A lesson agent should teach and give feedback. An application agent should expose missing information and the actual submission state.
Start with one result you can explain and test. Ask the builder to help define that result before adding more tasks or connections.
How it works
Choose an example or describe the work your clients should be able to complete. Keep its scope tied to a service you can explain and test.
Give the agent your questions, rules, examples, and approved materials. Connect the records or workflow needed to complete that particular task.
Try a complete client session, including a changed answer and missing information. Publish the agent and share its URL when the result and configured actions work as intended.
It can help students audit degree requirements and plan their next courses. Your business supplies course catalogs, prerequisite rules, teaching materials, application requirements, and enrollment records. The agent uses that context during a client session and shows the resulting information and permitted next action on its own page.
Prepare course catalogs, prerequisite rules, teaching materials, application requirements, and enrollment records. Use one completed example from your service and one example with missing information. For this audience, test whether the agent can help students audit degree requirements and plan their next courses without filling gaps with assumptions.
Separate learning from administration. A lesson agent should teach and give feedback. An application agent should expose missing information and the actual submission state.
No. A template shows a particular client task. Examples marked as starting points need your service questions, records, and actions configured before use. The linked page explains the example in full.
Yes. The AI agent has its own web page where clients can use text or voice. Configure the next step your service needs, such as a paid session, an appointment, or a handoff with the agreed information. Phone, messaging, and other systems are optional connections.