The development of Cykel AI began with a vision to simplify complex, repetitive tasks by seamlessly integrating programmatic workflows with the latest AI capabilities. This required a design approach that prioritised clarity, usability, and a smooth user experience that accounted for users, who may not previously have had access to AI, and act as an entry point.
From the outset, the focus was on creating an intuitive platform capable of handling complex workflows and multi-app integrations that traditional automation tools couldn't manage. A key challenge was ensuring users could easily oversee multiple concurrent automations, which led to the creation of a UI structure allowing quick filtering and identification of relevant workflows depending on task. Categories were defined by industy and users could also filter by a specific app integration.
As the project progressed, the need for real-time visualisation of AI actions became apparent. Initial designs only displayed the current step as it was being executed, however user feedback highlighted a demand for greater visual feedback, and more transparancy for reviewing the AIs actions. This leas to a refined step-by-step interface, offering users a comprehensive view of their workflow, showing completed steps, those in progress, and upcoming actions, significantly enhancing user understanding and control of the platform.
