How to build a Scholarship Matching AI Agent

TL;DR

What it does:
Automatically matches students to internal scholarships based on their academic and personal information, then generates a formatted eligibility report and creates a Google Doc with the results.

Who it’s for:

• University administrators

• Scholarship coordinators

• Students seeking internal scholarship opportunities

Time to value:
Immediate—students or staff input details, and the system instantly returns a personalized scholarship eligibility report and a shareable Google Doc.

Output:

• A formatted summary of eligible scholarships, tailored to the student’s profile, delivered both on-screen and as a Google Doc.

Common Pain Points for Matching Students with Scholarships

• Manual review of scholarship criteria is time-consuming and error-prone

• Students often miss opportunities due to lack of awareness or unclear eligibility

• Administrators struggle to keep scholarship information up-to-date and accessible

• Difficulty in generating professional, shareable reports for students

• Inconsistent communication of eligibility results

What This Agent Delivers

• Criteria-based scholarship matching using up-to-date internal data

• Personalized eligibility results based on student input (department, GPA, year, career path, financial need)

• Professional, formatted report generation (Markdown and Google Doc)

• Streamlined, repeatable process—no manual review required

• Easy sharing and record-keeping via Google Docs

See This Agent in Action:

Step-by-Step Build (StackAI Nodes)

1) Input Nodes

What it does:

• Collects student information:

  • Department (in-0)

  • GPA (in-1)

  • Year (in-2)

  • Intended Career Path (in-3)

  • Financial Need (in-4)

Goal:
Gather all relevant student data needed for scholarship matching.

2) Knowledge Base Node: Google Drive 1

What it does:

• Searches internal Google Drive for up-to-date scholarship information

• Uses student input as the search query

Goal:
Retrieve the latest list of available internal scholarships and their criteria.

3) LLM Node: Anthropic

What it does:

• Analyzes student data and scholarship information

• Determines which scholarships the student is eligible for

• Generates a plain-language eligibility summary

Goal:
Automate the matching logic and provide a clear, actionable summary.

Instructions

You are a Scholarship Matching Assistant designed to help students identify scholarships for which they qualify. You will assess eligibility based on the following criteria:



- Department

- GPA

- Year in college

- Intended career path

- Financial need



Please provide the necessary information to begin the matching process

Prompt

Notify the student of their eligibility for internal scholarships based on the following criteria:



- Department

- GPA

- Year

- Intended Career Path

- Financial Need



The list of internal scholarships is as follows:



<scholarships>

{knowledgebase-1} 

</scholarships>



Please reference the following information:



<Department>

{in-0}

</Department>



<GPA>

{in-1} 

</GPA>



<Year>

{in-2} 

</Year>



<IntendedCareerPath>

{in-3} 

</IntendedCareerPath>



<FinancialNeed>

{in-4} 

</FinancialNeed>



And determine which scholarships the student should apply for

4) Template Node

What it does:

• Formats the LLM’s eligibility summary into a professional Markdown report

• Adds context and branding to the output

Goal:
Ensure the results are easy to read, presentable, and ready for sharing.

5) Action Node: Create Google Doc

What it does:

• Creates a new Google Doc titled “Scholarship Opportunities”

• Inserts the formatted eligibility report as the document content

Goal:
Generate a shareable, persistent record of the student’s scholarship eligibility.

6) Output Node

What it does:

• Presents the final result to the user (e.g., link to the Google Doc, summary on screen)

Goal:
Deliver the eligibility results in a user-friendly way.