Genspark, an innovator in AI-powered applications, has successfully enhanced its Deep Research Agent by collaborating with Fireworks AI, achieving significant improvements in quality and tool calls while reducing costs. Through the use of Fireworks' Reinforcement Fine Tuning (RFT), Genspark fine-tuned large open-source models, resulting in a 12% improvement in quality and a 33% increase in tool calls compared to state-of-the-art closed-source models, leading to a 50% reduction in costs. This collaboration allowed Genspark to overcome challenges associated with closed-source models, such as limited customization and scalability, by adopting a mixture of agents tailored to specific workloads. The partnership facilitated a seamless transition from training to deployment using advanced infrastructure, including NVIDIA hardware, and allowed Genspark to offer superior user experiences by delivering comprehensive, multi-source research reports. The support from Fireworks also enabled Genspark to rapidly transition from proof of concept to production within four weeks, demonstrating the collaborative effort's success in optimizing AI capabilities and enhancing user engagement.