ChatGPT Optimized

Best ChatGPT prompts for Engineering Technologists and Technicians, Except Drafters, All Other

A specialized toolkit of advanced AI prompts designed specifically for Engineering Technologists and Technicians, Except Drafters, All Other.

Professional Context

The harsh reality of Engineering Technologists and Technicians, Except Drafters, All Other, is that they spend a significant amount of time troubleshooting and optimizing complex systems, often with limited documentation and under tight deadlines, making it crucial to have efficient workflows and tools to minimize downtime and maximize productivity.

💡 Expert Advice & Considerations

Don't waste time trying to automate everything with ChatGPT, focus on using it to augment your existing workflows and automate repetitive tasks that take away from higher-level problem-solving.

Advanced Prompt Library

4 Expert Prompts
1

Root Cause Analysis of System Downtime

Terminal

Given a system with the following architecture: 3-tier web application with load balancers, application servers, and databases, and the following logs: Apache access logs, application server logs, and database query logs, identify the root cause of a 2-hour downtime that occurred yesterday, including the specific component that failed, the error message or log entry that indicates the failure, and the recommended steps to prevent similar failures in the future, assuming the system is hosted on AWS and uses Git for version control.

✏️ Customization:Replace the system architecture and logs with the actual components and data from your system.
2

Optimization of Sprint Velocity

Terminal

Analyze the following Jira dashboard data: 10 sprints with velocity ranging from 20 to 50 story points, 15 team members with varying levels of expertise, and 50 user stories with estimated story points and priority levels, to identify the top 3 factors that affect sprint velocity, including team member workload, story point estimation accuracy, and priority level, and provide recommendations to improve sprint velocity by 15% within the next 3 sprints, assuming a Scrum framework and bi-weekly sprint planning meetings.

✏️ Customization:Update the dashboard data with your actual Jira data and team information.
3

Deployment Script Generation for CAD Designs

Terminal

Create a deployment script for a CAD design file that includes the following components: 5 3D models, 10 2D drawings, and 20 assembly instructions, to be deployed on a GCP-based cloud storage system, with the following requirements: encryption, access control, and versioning, and provide a step-by-step guide to integrate the script with the existing CAD workflow, assuming the use of IDE for scripting and Git for version control.

✏️ Customization:Replace the CAD design file components with your actual design files and update the deployment requirements as needed.
4

Latency Reduction in Cloud-Based Applications

Terminal

Given an AWS-hosted web application with the following latency profile: 500ms average response time, 200ms average database query time, and 100ms average network latency, identify the top 2 bottlenecks contributing to the latency, including the specific component or code section responsible, and provide recommendations to reduce the latency by 30% within the next 6 weeks, including code optimizations, infrastructure upgrades, or caching strategies, assuming the use of Apache and MySQL.

✏️ Customization:Update the latency profile with your actual application data and adjust the recommendations based on your specific technology stack.