Choosing the right AI model across the STLC

The “best” AI model is not always the right one. For QA teams, the better question is: how much intelligence does this testing task actually require?

In this episode, Neeraj Jain and Nikita Mittal unpack a practical 3-tier framework for AI model selection across the Software Testing Life Cycle (STLC), and discuss the factors teams should weigh before choosing: complexity, quality, latency, cost, and security/compliance.

Because smarter AI adoption starts with choosing the right model for the right job.