The platform is a Web app that is a collection of microservices for generating content topics, designing a post, a publishing scheduler and other AI powered image and text editors. The experience is powered by Yarnit’s proprietary AI models and API’s from larger AI models like Stable diffusion and GPT4. The core functionality is as follows:The user inputs keywords for topics or selects from a set of AI recommended topics, then proceeds to add details about format and tonality. The Ai generates a plot structure which can be edited and refined by the user. The user then proceeds to design the content and finally publishes it to a social media platform of their choice. At every stage, a basic prototype, one backed by research, was quickly created to validate hypotheses and generate insights. Owing to the changes in collaborative work post the pandemic, the basic paper prototype was replaced with a digital low-fidelity wireframe which was tested, refined, converted to production ready prototypes and implemented. To stay true to the BML cycle, key metrics and feedback was collected and iterated upon. This process allowed the team to minimize wastage, and prioritize functionality of core features over being feature-rich.
