In-Depth Look at Praktika's Conversational Language Learning Approach

Praktika built a multi-agent system to strengthen users' real-world conversational skills. Going beyond a simple conversational interface, this system adjusts lessons in real time according to the learner's behavior, progress, and conversation context, just like an actual tutor.

The system consists of three core agents:

• Lesson Agent (GPT-5.2): The main conversational agent that talks directly with learners, conducting natural, unscripted lessons.
• Student Progress Agent (GPT-5.2): Monitors the learner's fluency, accuracy, vocabulary usage, and recurring mistakes in real time.
• Learning Planning Agent (GPT-5 Pro): Designs long-term learning paths and skill sequences based on the learner's goals and progress data.

All agents share a persistent memory layer. By immediately retrieving relevant context right after the learner finishes speaking and responding accordingly, the system creates an interaction that feels like being listened to attentively by an actual person, rather than a robotic response.

In addition, the Transcription API reliably handles the pauses and inaccurate pronunciation typical of non-native speakers, allowing learners to focus solely on communication. Through this approach, Praktika achieved a 24% increase in Day-1 retention and 2x revenue growth.