ClickLess

Inspiration

Modern software developers face constant interruptions and repetitive workflows. The Logitech Hardware UX Suite motivated us to rethink these patterns and challenge the status quo.

What it does

Our project consists of three components forming the Logitech Accelerator Package. The goal: offload the cognitive load of managing constant push notifications so users can remain in deep focus.

The Focus Console buffers incoming desktop and browser notifications, classifies them by urgency and context, and releases them in fixed intervals (e.g., every 15 minutes). During this window, the user experiences zero notification noise and can maintain uninterrupted workflow. This buffering aligns with natural attention cycles and removes the pressure to continuously monitor surrounding activity. Once the user decides to take care of new notifications, the respective application can easily be reached by pressing the button on the Logitech Creative Console.

The Auto Macro engine accelerates developer productivity by detecting repetitive interactions and recommending the appropriate shortcut. In the long term, it will support automated macro recording to replace complex, multi-step routines.

To support rapid ideation, the AI Agentic Suite provides one-shortcut access to specialized agents. Based on user context—reading code, reviewing design docs, or drafting messages—the suite selects the optimal agent for targeted assistance.

How we built it

For our Focus Console: -> C# plugin built on top of Logitech’s SDK -> Distributed via Logi Options+ -> Compatible with any native desktop application -> Iterative exploration of OS-level notification and application state tracking -> Fallback logic to handle inconsistent app–OS interactions -> Dynamic retrieval of application icons instead of hard-coded assets -> Real-time detection of new notifications, unread counts, and recency-based ordering

For our AI Agentic Suite: -> Implemented in Python for fast prototyping -> using Anthropics API to make requests to LLMs -> defining specialized agents to tackle common tasks -> use a fast and cheap model to categorize the task and select the agent -> create a UI which adapts to the selected context and provides commonly used actions

Challenges we ran into

Building a browser-agnostic tab interface capable of extracting layered data such as GitHub PR status or Discord @mentions requires a significantly more complex architecture than native desktop integration.

Designing robust macro tooling also demands high-fidelity access to mouse events and user interaction patterns, along with extensive edge-case engineering.

Accomplishments that we're proud of

The Focus Console feels like a system that can meaningfully refine how users balance deep work with reactive tasks. With further improvements toward a more flexible UI, the concept has clear potential to scale into a product we would use ourselves. Adding web-app integration would increase its impact even further. Logitech’s Creative Console is a key enabler, providing substantial efficiency gains when paired with our application.

What we learned

Developing genuinely innovative solutions requires stepping outside ingrained assumptions about productivity tools.

Creating interfaces that behave consistently across diverse desktop environments and abstract away OS differences demands highly adaptable logic and significant attention to edge cases.