Example: Building a Resume Ranker

This walkthrough builds a Dashboard AI Employee that accepts job descriptions, matches them against a repository of candidate resumes, and produces scored, ranked candidate recommendations.

What You Will Build

A dashboard-based AI Employee that:

• Accepts a job description document as input
• Extracts required skills, qualifications, and experience from the job description
• Searches a repository of candidate resumes for matches
• Scores and ranks each candidate against the job requirements
• Outputs the top candidates with detailed justifications

Prerequisites

• Access to the GWE platform
• One or more candidate resume files (PDF, DOCX, or TXT)
• A job description document for testing

Create a New AI Employee

1. Navigate to the GWE platform.
2. Scroll to the bottom of the AI Employees page and locate the template for GWE Dashboard Persona.
3. Click Create, fill in the AI Employee details, and click Create & Save.
4. Click Go to Workflow Builder to start building.

Create the GWE Workflow

Add Entity Extraction for Job Description Analysis

1. Add an Entity Extraction with Documents agent.
2. This agent extracts the skills and experience required by the job description.
3. Add Extraction rules that define what to pull from each job description. For example, create a rule to extract the number of years of experience required, mandatory skills, preferred skills, and education qualifications.

Convert Extracted Data to a Search Query

1. Add a Generate Query from Agent Outputs agent.
2. Connect the output from the Entity Extraction agent to this agent's input.
3. This agent converts the structured extraction output into a format that downstream agents can query against.

Build the Search Query

1. Add a Respond to a Query agent and rename it (for example, "Query Builder").

2. Connect the extraction output to this agent's input.

3. Write instructions that convert the extracted skill metadata into a natural-language search query. Example instructions:

   "You are an expert query writer for a file search agent. Convert the given list of skills, qualifications, and experience into a clear natural-language query to find the best matching candidates. Include all provided skills, qualifications, and experience. Be specific and do not generalize. Keep the query under 40 words."

Search Candidate Resumes

1. Add a Knowledge Search agent.
2. Connect the query output from the previous agent to the Knowledge Search agent's query input.
3. Upload your repository of candidate resumes:
   • In the configuration panel, click Add Data Source.
   • Select Upload Documents and upload your resume files.

Score and Rank Candidates

1. Add a Respond to a Query agent.
2. Connect:
   • The search results from the Knowledge Search agent
   • The query from the Query Builder agent
3. Write detailed scoring instructions. The instructions should define:
   • Scoring criteria -- evaluate each candidate across four parameters (key matching skills, required qualifications, preferred qualifications, certifications and training) on a 0-to-5 scale.
   • Scoring rubric -- define what each score range means (0-1 Unsuitable, 1-2 Below Average, 2-3 Average, 3-4 Good, 4-5 Excellent).
   • Output format -- for each candidate, provide the candidate name, overall match score, individual parameter scores, and a brief justification.
   • Enforcement rules -- do not infer missing details, do not inflate scores, sort by overall match score in descending order.

Extract Top Candidates for Dashboard Output

1. Add another Entity Extraction with Documents agent at the end of the workflow.
2. This agent extracts the top candidate name and justification from the scoring output.
3. Enable Publish this as a workflow output so the extraction results appear in the dashboard table.

Test the Workflow

1. Click Add in the top-right corner of the dashboard, then select Add single row.

   To process multiple job descriptions at once, select Add multiple rows instead.

2. Click Add File to upload a job description document. Supported formats include DOCX, PDF, and TXT.

3. Click the play icon to trigger the workflow execution. Processing may take a few seconds.

4. Review the ranked candidate list and explanations in the dashboard output.

Next Steps

• Creating a Dashboard-Based AI Employee -- learn more about dashboard AI Employee fundamentals.
• Dashboard Triggers -- configure structured input fields for your dashboard.
• Dashboard Features -- explore bulk operations, HITL review, and data export.
• Writing Effective Instructions -- refine scoring instructions for more accurate candidate evaluations.