Speak is personalizing language learning with AI

Speak, a language learning app, is leveraging AI to deliver personalized lessons to its users. In an interview with the OpenAI Blog, CEO Connor Zwick detailed how the company uses large language models to adapt content, exercises, and feedback to each learner's proficiency level and learning style. Instead of one-size-fits-all curricula, Speak's AI analyzes user responses in real time to adjust difficulty, focus on weak areas, and simulate natural conversation. This approach reflects a broader trend in edtech where AI enables adaptive learning at scale. For developers building AI workflows, the key takeaway is how Speak integrates models into a feedback loop: the AI generates personalized practice material, evaluates user input, and continuously refines its understanding of the learner. This pattern of input → AI processing → personalized output can be applied beyond education, such as in customer support or content curation. The interview highlights the practical challenges of latency, accuracy, and maintaining engagement when deploying AI in a consumer product.