The Challenge: Building Personalized AI Reminders
Thalla, a WhatsApp-based application, set out to solve a common problem: helping users stick to daily tasks and routines. Unlike traditional reminder apps, Thalla needed to predict users’ habits, learn from their behavior, and provide nudges at the perfect moment. However, their small team faced several hurdles:
- Lack of coding expertise to develop a complex AI system.
- Difficulty in quickly iterating on new ideas for user testing.
- A need for a scalable solution that could be adapted by designers, not just developers.
The team required a platform that could streamline the development process and empower every team member to contribute to building their product.
The Solution: Leveraging Dapta’s AI Tools
Using Dapta, they were able to rapidly prototype and launch their AI-powered solution. With a clear and intuitive interface, Dapta enabled Tala’s team—regardless of technical expertise—to build and test their product efficiently. Key benefits included:
- Rapid MVP Development: The first version of Tala was launched in weeks using Dapta’s drag-and-drop tools.
- Behavior-Based Learning: AI reminders adapted to users’ habits, predicting their needs before they asked.
- Team Empowerment: Even non-technical team members could customize and iterate on the AI agent, ensuring the product evolved with user feedback.
The Results: Faster Launch, Smarter Engagement
With Dapta, Thalla achieved:
- Faster Time-to-Market: The AI-powered reminders went live in record time.
- Seamless User Adoption: Predictive nudges improved habit formation and task completion.
- Scalable Growth: The team could continuously refine the system without deep technical expertise.
By leveraging Dapta, Thalla turned an ambitious idea into a functional, scalable product in just weeks.