We liked that Tridhya Tech understood the difference between simply generating text and building a useful AI product. The platform needed to analyze job descriptions, interpret candidate experience, identify relevant gaps, and generate tailored resume content while preserving context. Their team implemented the LLM workflows effectively and paid attention to output quality. The result felt much more purposeful than putting a generic AI writing assistant behind a resume template. Review collected by and hosted on G2.com.
Getting consistently good AI output required more iteration than we initially anticipated. Resume content is highly contextual, and small changes in prompts or source information could affect the quality and relevance of the generated results. We spent additional time refining these scenarios and testing different outputs. A more formal AI evaluation framework from the beginning could have accelerated this process, but the team responded well as we identified areas for improvement. Review collected by and hosted on G2.com.
