Artus 1.0 Private Beta Demo

hello and welcome to artist private beta I'm sh co-founder CEO with me is Yash co-founder CTO and in this video we're going to show you how artists can help you build fully custom enterprise software in hours instead of months so you start by telling artists what you want to build and then dive deeper into the intricacies of your products Vision you'll be asked to pick out the major features you want your software to have in our case we want to build an Enterprise data analytics tool so we'll select features like Dynamic dashboard Advanced Data visualization and the ability to talk to your data using natural language once artist has a big picture understanding of what your goals are it presents you with two choices either you can fine-tune your software by dictating the nitty-gritties of what your application should contain and how it should be built or if you're in a hurry you can simply let artists make those Factory flow decisions for you fine-tuning is a feature used to build sophisticated Enterprise create products so for now we're just going to go with autofill the first thing artist does for you is organize your business requirements in great detail for our use case it has determined all our data management and processing requirements data visualization needs the security and it infrastructure required to deploy this app and details on what the user interface should look like including the specific styles of cfts and charts best suited for our data the second thing it does is Define each and every task needed to build the software broken down into its simplest possible steps which can go into the hundreds because it doesn't leave any stone unturn as any developer knows once you have a list list of tasks what you need to do is organize them into well- defined Sprints so that you can build the software in manageable stages once the managerial decisions have been made it's time to head into the workbench to actually start executing the plan here along with each task and subtask you will have a complete granular breakdown of the steps needed to write each function of your code you can now assign specialized AI workers best suited to execute each of those tasks to automate the development process itself click on execute and there you have it research tasks to determine which machine learning algorithms to use has been achieved by the research AI worker and the coding tasks have been completed by the coding AI worker but it doesn't end there along with each code output you will also receive a full explanation of the code that was written this includes the libraries used the data types involved the overall logic that was implemented and how this task will synchronize with the larger code base final stage of artist involves keeping all the code well documented for product managers for engineering leads for future employees and even for top level management so that companies can easily modify and adapt the newly built software to their everchanging needs