Developed a custom AI report generator for client requests. The report generator can quickly produce reports in HTML, PDF, and Excel formats, significantly reducing the time required for report creation.
Framework setup and report generation time improved. The initial framework took approximately six to eight hours to build, with subsequent report creation now taking about thirty minutes each.
Client-side data manipulation preferred for performance. Data manipulation is now primarily handled on the client-side using JavaScript and SQL Server, which enhances performance and reduces server load.
Issues with server calls and IDE stability identified. Excessive server calls by users caused performance issues, and a JavaScript error led to IDE crashes during report generation.
Infrastructure migration and password reset policies implemented. The client has migrated their infrastructure to a larger company's servers and implemented automatic password resets every 30 days, which has caused some access issues.
Event Date:
03/20/2026
Title:
Developer Forum
Topic Outline:
Introduction to AI report generator
Framework setup and report generation
Client-side data manipulation
Server performance issues
Infrastructure migration
Password reset policies
Keywords:
AI, report generator, integration, HTML, report formats, JavaScript, client-side manipulation, SQL Server, data handling, Ajax, data retrieval, IIS, server infrastructure