As part of the Aeries Next Gen platform, it would be extremely valuable to integrate GPT (Generative Pretrained Transformer) technology for districts using the hosted Aeries solution — specifically for generating and refining Aeries Queries.

Currently, many users find the Aeries query process cumbersome, resulting in frequent inaccuracies or empty results. By leveraging LEA-specific GPT models or machine learning, Aeries could introduce a natural language interface that allows users to ask open-text questions which are then converted into accurate Aeries queries.

Example Prompt:

“List all 7th grade students by school, student name, ID, and only include students with a grade of D+ or below.”

This would produce a properly formatted query automatically, saving staff significant time and reducing frustration.

Benefits

Increased Accuracy: Automatically generates properly structured queries aligned with Aeries syntax.

Time Savings: Reduces the learning curve for new staff and speeds up data retrieval for all users.

Customization: LEA-specific GPT models could learn the nuances and common data structures of each district, improving precision over time.

Empowered Users: Makes data accessible to all staff regardless of their technical expertise with query writing.

Impact

By embedding GPT-powered query generation, Aeries can dramatically improve user experience, making data more accessible and actionable while reducing the burden on technical support teams.