The best approach is to hire a "Nanny McPhee" type team member. Their job will be to look at your sternly, when you forget to track your work. They'll make snide, but supportive comments, to keep you on task. Don't be surprised when their warts start clearing up, as your performance improves- that's normal!

• Prioritize Tasks: Focus on high-risk and critical areas using risk-based testing. • Automate Repetitive Tasks: Leverage test automation tools like Selenium or Cypress for regression and repetitive tests. • Adopt Modular Testing: Break tests into smaller, reusable components to save time. • Leverage Tools: Utilize test management platforms like TestRail or Zephyr to organize and track progress. • Continuous Improvement: Regularly review and optimize testing processes for efficiency.

Prioritize, optimize, and automate. Quality isn’t about doing more. It’s about doing smarter. -> Identify critical test cases. If everything is a priority, nothing is. -> Implement risk-based testing to focus on what truly matters. -> Automate stable flows but keep exploratory testing for edge cases. -> Use session-based testing to maximize focus in short bursts. -> Leverage a test checklist to avoid over-documentation. -> Delegate tasks effectively. Testing isn’t a solo battle.

This practice area is highly applicable to AI technologies, if I were in any way overwhelmed or facing burnout with test, I'd use the opportunity to leverage my experience and understanding of my needs into devising a solution leveraging AI. Without a doubt it would be eagerly adopted by you're colleagues and if you're really successful, a wider audience and more. Use you're existing understanding of requirements and as others have outlined, have a clear plan to guide the process. Without more specifics on the precise requirements I can't offer a LLM/model to investigate, it should be second nature; huggingface, LangChain, OpenAI, LangSmith, Ollama, MLflow... good luck.

Balancing a heavy testing workload while maintaining quality requires smart prioritization and efficient practices. Here are four key strategies: Prioritize High-Impact Areas: Focus on critical functionalities and risk-prone areas to ensure testing efforts provide maximum value. Leverage Automation: Automate repetitive and time-consuming tasks to free up time for exploratory and complex testing. Adopt Modular Testing: Break testing tasks into smaller, manageable units to maintain focus and reduce the risk of errors. Streamline Communication: Collaborate with stakeholders to clarify priorities and expectations, ensuring alignment and reducing unnecessary workload.