Where AI Characters Come to Life
TalkToo.ai revolutionizes learning through interactive AI conversations. Chat with AI characters, summarize books, get homework help, and learn with personalized AI tutors. Create your own characters, use them for therapy, and share them with the world.
I built the full backend that powers real-time conversations, voice interactions, and multi-threaded discussions. The system handles 30 million+ messages with intelligent AI model routing, ensuring seamless experiences across character creation, learning, and social sharing features.
30M+
Messages exchanged on the platform.
100k+
Characters created by users.
The global AI in education market was valued at USD 5.88 billion in 2024 and is projected to reach USD 32.27 billion by 2030, growing at a CAGR of 31.2%. North America dominates with 38% market share, driven by increasing demand for personalized learning experiences and AI-powered tools like Intelligent Tutoring Systems and chatbots. (Source: Market Research)
While AI chatbots exist, most lack personality, depth, and the ability to create meaningful learning relationships. Users want AI characters they can connect with, learn from, and even create themselves.
Real-time Conversations at Scale: The Engineering Behind 30M+ Messages
Building a platform that handles millions of concurrent conversations required a sophisticated real-time architecture. I implemented WebSocket connections with intelligent connection pooling, message queuing systems, and distributed caching to ensure sub-second response times. The system uses a microservices approach where conversation management, AI model routing, and user sessions are handled by specialized services that scale independently based on demand.
Creating a Robust Notification System
Designing a notification system that keeps users engaged without overwhelming them was a critical challenge. I built a multi-layered notification architecture that includes real-time push notifications, email digests, and in-app alerts. The system intelligently prioritizes notifications based on user behavior, conversation importance, and engagement patterns. It handles character mentions, new messages, learning milestones, and social interactions while maintaining 99.9% delivery reliability across all notification channels.
Multi-Model AI Orchestration: Creating Diverse Character Personalities
The platform integrates 10+ different AI models, each optimized for specific use cases. I built an intelligent routing system that matches user requests to the most appropriate model based on conversation context, character personality, and task complexity. For learning scenarios, we use models fine-tuned on educational content. For therapy sessions, we route to models trained on psychological support. This ensures each character feels unique and purpose-built for their role.
"Manu has been very persistent and was able to absorb complex ideas and execute in ways that are efficient and scalable. His approach to the backend architecture demonstrated deep technical understanding while maintaining focus on performance. The final product exceeded our expectations in both functionality and design. Would definitely work with him again."
