Inspiration
"One Day, or Day One." We’ve all experienced the initial burst of motivation when setting a grand goal—like learning to code or figuring out how to juggle five tangerines. But that motivation quickly turns into overwhelm when you realize you have no idea how to actually map out the steps. We looked at the current productivity landscape and saw a fragmented mess: Xmind is great for planning but lacks execution; Notion is organized but manual; Habitica gamifies but leaves you to figure out the steps yourself. We were inspired to build WHIP to bridge the gap between ambition and action, creating a single, immersive ecosystem where planning flows seamlessly into execution.
What it does
WHIP is a personalized productivity ecosystem divided into two core experiences:
Design Mode: You start by interacting with your personalized AI partner. You feed it your grand, vague goal, and it acts as your architect. It generates a concrete "Roadmap Structure," automatically breaking down the overarching goal into manageable tasks, attaching resources, estimating deadlines, and balancing it against your actual daily workload.
Doing Mode: Once the roadmap is set, you switch into execution. Doing Mode is a streamlined, distraction-free interface strictly focused on prioritization. You aren’t working alone; your personalized Avatar joins a live, real-time network of other users' avatars who are also studying and working, providing a multiplayer body-doubling effect to keep you accountable.
How we built it
After a lot of planning, we had a good idea of the functionality we wanted, and we planned the domain, the screens and selected our stack. And then, we told Claude code to do it!
Challenges we ran into
Designing an AI assistant that proposes SMART goals in a way that encourages learning. Because our system has many moving parts, it is hard to account for the exponential user flows from all the ways that people can do things, so we had to focus on all the core flows to set goals and tasks.
Accomplishments that we're proud of
We are incredibly proud of the fluid transition between Design and Doing modes. Often, productivity apps feel like spreadsheets, but we successfully built an interface that feels alive. Successfully forcing the AI to act as a strict, logical project manager that generates highly accurate, realistic roadmaps—rather than just giving generic advice—was a massive win for the technical viability of the platform.
What we learned
We learnt principles of marketing. We also learned a lot about the nuances of prompt engineering—specifically, how to constrain generative AI to output deterministic, application-ready data structures instead of creative prose.
What's next for WHIP
This is just "Day One." In the future, we plan to expand the multiplayer mechanics in Doing Mode, allowing users to form dedicated "parties" based on shared goals. We also want to introduce deeper integrations with external calendars and introduce mobile support, so users can voice-dump their ideas onto their AI assistant while on the bus, and come home to a perfectly updated roadmap.
Built With
- claude
- stitch
Log in or sign up for Devpost to join the conversation.