Interest in artificial intelligence (AI) has been growing among the monitoring, evaluation, research and learning (MERL) community over the past decade. Yet AI adoption has been hampered by lack of data science capacities, low trust in AI, ethical concerns, affordability, absence of applicable use cases, and multiple other barriers. The public release of mainstream Generative AI (GenAI) applications, beginning with ChatGPT in late 2022, changed the game. GenAI and natural language processing ...