My initial experience with Wonder AI over the past few days reveals a highly innovative approach to deep search, offering users granular control. Although further development and funding are needed to fully realize its potential, the tool is already commendable. Backed by the robust Semantic Scholar library (with hopes for future expansion), Wonder AI stands out. While some bugs persist, the proactive and responsive founders, Robin & Joe, inspires confidence in their commitment to improvement. I envision Wonder AI evolving into a game-changing resource for serious researchers, especially academics, within the next year. Their partnerships with universities and PhD programs further underscore this potential. While it could benefit other research-driven content creators, its core strength lies in facilitating rigorous academic inquiry, distinguishing it from many superficial AI applications. Currently, I rate it four out of five (due to the bugs), but its conceptual brilliance deserves top marks, and I wholeheartedly recommend giving it a try. I've already been impressed by its search capabilities.