Sure. Thanks, Jeff. And if we just zoom out just to give you, first of all, the perspective of how this partnership has come together. So this was – I was able to meet earlier this year in a meeting with the CEO of the Google Cloud. The idea was that or the thought was – and if you think about CareCloud or previously known as MTBC when started in 1999, our focus was or how we started was how to focus the small to medium practices primarily and bring innovation and technology and converting them from the conventional medical billing conventional RCM into more tech-enabled RCM and providing them with the tools such as EHR and all of those. Fast forward for these last 20 years now, we have the data, the clinical and financial because of our proprietary software and the technology, we started investing, let's say, from the last over five years by establishing our own AI or the data science department to see how we can – what we can achieve with the of our own skilled people and the skill set. It never have been enough to get to the level of where the AI technology exists today. So when Google launched their product or whether the ChatGPT launched their product on the AI, on the generative AI, the one – if you just step back from that perspective and think about it – and let's talk about Google. They launched their Vertex AI, which is their AI, a trained AI model and the engine. And then they started focusing on the health sector, and they're calling it the Med-PaLM model, which is an AI trained model for the health care industry. But when we talk about it, that model is trained only on the health system side space, the larger practices. Because for the smaller ones, whether it's Google or someone else, one, it's a very highly regulated industry. So in order to have an outreach or reach out to so many or thousands and thousands of those small practices and take their data and then train their AI model, it's just not – simply not possible. So this partnership is basically Google coming with their technological, their people, their expertise and technology on the generative AI. We are coming in with the last 20 years of data and our people and the experts. And together, we are trying to produce the product. So that's a bigger picture. What we are trying to accomplish for us in the short-term, as I mentioned, as part of the script, the – we will be providing a sort of a smart assistant in our EHR in the practice management product, which will work as – if we use the analogy of the Microsoft recent launch of their Copilot. First of all, the copilot is a copilot, its not a pilot, it won't be flying the plane, but it will be assisting. So our product is also going to assist and suggest the doctor, leaving the responsibility with the doctor. The decision maker would still be with the doctor and making sure HIPAA compliant and the regulatory requirements and patients' safety in mind. So that assistant will be able to – because we have that specific patients and the industries from the geographic same-specialty, gender insurance mix. So we will be able to suggest a treatment plan, a full comprehensive care plan with the help of the generative AI to the doctor, which can help in the rare disease cases, which can help in preventive medicine, there could be certain tests that should be conducted at that point, which otherwise a doctor may have skipped or may not have thought about at that time. So on one side, from the revenue generation perspective, that one license or one user will be charging from the license fee perspective. And then in the bigger picture, there will be an improvement of the overall profitability and the patient outcomes for that practice. So this is going to be the one, the revenue generation line for us or this is how the revenue will be generated. In addition to that, the bigger picture is, once this proof of concept gets done, our model gets trained for the small to medium-sized practices data, with the help of the Google, we plan to though, and we will communicate if anything gets finalized with Google, we plan to go make and how we can provide this with the help of working with Google access to this trained AI model to other vendors in this space. So there will be another in the future that at least our goal is what we are opportunistic about. That's what we think is a path to go. But anyway, I hope I answered the question in terms of the revenue for us. This year, we are going through and making sure just because of dealing with the patient health information that it should provide a reasonable accurate projections, so we are in the process of refining the results. And by the end of the third quarter, early fourth quarter, we plan to launch this product. Let's see how what is the attention and attraction we get from our existing client base for us as everyone is going through their adaptability and understanding the generative AI and then we believe this is going to help us in the bigger picture into the 2024.