Inside Praktika's conversational approach to language learning

Praktika was born from a deeply personal insight: language unlocks opportunity. 

Co-founders Adam Turaev, Anton Marin, and Ilya Chernyakov all grew up navigating new countries after their families immigrated in search of better opportunities. English quickly became essential, not just for school, but for work, mobility, and belonging.

“Learning English was never just about communication,” Turaev said. “It opened doors to international work and career growth.” 

But traditional language education fell short. Despite years of study, the founders found that while they could read and write fluently, they struggled to speak confidently when it mattered most: at work, in meetings, and in daily life. The gap between classroom learning and real-world fluency was wider than they’d imagined.

Praktika⁠⁠(opens in a new window) was built to close that gap. It’s a language learning app designed to help people build real-world fluency through daily conversations, with personalized AI tutors who guide them through interactive, goal-based lessons. Users include students preparing for exams, professionals working on job-related language skills, and immigrants building new lives in foreign countries.

Building a multi-agent tutoring system that adapts and improvises

As the product matured, Praktika moved beyond a single-model architecture into a multi-agent system designed to mirror how real tutors adapt lessons in real time. 

Lesson Agent is the primary conversation agent, interacting with learners as the tutor. Running on GPT‑5.2, it blends tutor personality, lesson context, learner goals, and recent conversations to deliver lessons that feel natural and unscripted. This is the point where the system starts to feel like a real tutor rather than a scripted experience.

“The system can switch to a completely different exercise if the learner isn’t feeling it,” says Turaev. “That brings the magic back. It starts to feel much closer to a real human tutor.”