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@article{206207,
        author = {Ishita and Skanda Ram and Arjun Ramesh and Vignesh Ravichandran},
        title = {PLURA Designing an Intelligent AI Workspace Platform to Resolve Fragmentation in Human-AI Workflows},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {2},
        pages = {613-623},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=206207},
        abstract = {PLURA is an AI workspace platform that will provide solutions to the ongoing fragmentation of human-AI tool usage. Today, professionals use many unconnected and disparate AI tools (e.g., language models, image-generation models). No way currently exists for professionals to organize and track/distribute the work they create with these tools, meaning that when professionals interact with an AI tool, the entire interaction takes place in a vacuum. Context is continually lost, prompts are often deleted per interaction, and there is no way to collaborate. PLURA will create a single intelligent, centralized AI operating environment that will sit above the tools and act as an orchestration layer connecting and chaining together multi-model workflows, prompt intelligence, a structured project organization, role-based personalization, and a community-driven prompt marketplace into one integrated platform. In this report, we document all of the UX (user experience) research, interaction design, information architecture and high-fidelity prototyping of PLURA, including description of problem space based on literature review, heuristic evaluation, cognitive walkthrough, competitive analysis, user interviews and quantitative survey, along with design outputs such as user personas, concept generation, system architecture and final interface.},
        keywords = {AI workspace, prompt engineering, multi-agent systems, human-AI collaboration, UX design, workflow automation, interaction design},
        month = {July},
        }