Inside Praktika's conversational approach to language learning

1. 1Build a multi-agent tutoring system that adapts and improvises
2. 2Use AI models like GPT-4.1 and GPT-5.2 to power conversation agents
3. 3Implement a Student Progress Agent to track learner language performance
4. 4Design interactive and goal-based lessons that feel natural and unscripted

Language learning platforms and ed-tech companies can benefit from Praktika's approach to create more effective and personalized learning experiences. Developers and product managers can learn from Praktika's use of multi-agent systems and AI-powered tutoring agents

💡 Praktika's use of multi-agent systems and AI-powered tutoring agents can increase learner engagement and retention

🤖 Praktika's AI-powered tutoring agents adapt lessons in real-time to help learners build real-world fluency 📚