ArcStory positions itself as an AI-powered comic creation tool that democratizes visual storytelling by eliminating the need for artistic skills. Developed by Wexpy for Android devices, the application leverages artificial intelligence to convert text descriptions into complete comic panels, offering an accessible entry point into comic creation for non-artists. The core functionality revolves around text-to-comic generation, where users input descriptions of scenes, characters, or actions, and the AI generates corresponding visual elements. The platform includes customization options for art styles, character designs, and panel layouts, along with text integration tools for dialogue and narration. Users can select from multiple comic genres and visual aesthetics, though the actual AI rendering quality varies based on input complexity and selected parameters. User experience centers on a streamlined interface designed for sequential creation: description input, style selection, generation, and editing. The process typically involves 3-5 steps per panel, with real-time preview capabilities. Performance testing reveals generation times ranging from 30 seconds to 2 minutes per panel depending on device capabilities and internet connectivity, as some processing occurs server-side. User feedback indicates generally positive reception of the core concept, though with noted limitations. Farhan Shaikh (July 2024) praised the 'user-friendly interface and extensive customization options' while noting occasional AI dialogue inconsistencies. Aruna Panicker (October 2024) observed that 'images are decent but could be more detailed,' reflecting a common theme regarding output quality. Multiple reviewers including Deesha Ukey (October 2024) highlighted the accessibility for non-artists as a significant advantage. The application demonstrates strongest performance for casual creators seeking rapid visual storytelling rather than professional-grade output. Strengths include accessibility and rapid prototyping capabilities, while limitations involve inconsistent AI rendering quality and occasional dialogue generation issues. Ideal use cases include educational contexts, personal storytelling, and social media content creation where technical perfection is secondary to conceptual execution.