Real-time AI voice for language learning
Why voice beats drills for fluency
Learners can pass grammar quizzes and still freeze in conversation. SpeakSmart closes that gap with natural, real-time AI dialogue—optional continuous mode included so users are not forced to click before every sentence.
The product integrates with Thinkific so students move seamlessly from course content into live speaking sessions.
Explore the SpeakSmart case study →
Stack and integrations
| Layer | Choices | |-------|---------| | Frontend | React.js, Tailwind CSS, Web Speech API / capture flows | | Backend | Node.js, Express, Flask for AI and LMS bridges | | AI | OpenAI for voice and text generation | | Auth | Thinkific SSO via Google Sheets / Google API provisioning |
Hard problems we solved
Cross-browser voice UX
Safari on Mac and iOS behaves differently from Chrome on Android. We tuned speech-to-text and text-to-speech paths per device class instead of assuming one Web API path works everywhere.
Frictionless LMS handoff
Thinkific enrollment should not end in a separate login screen. Google-backed SSO and secure onboarding let learners land in a session in seconds.
Session value after the call
Transcript review, selectable AI personas, and difficulty settings turn each conversation into feedback learners can act on—not a black box they forget.
What teams can copy
- Integrate where users already are (LMS, CRM, storefront)—do not force a new identity silo
- Design for device quirks before launch; voice products live or die on microphone reliability
- Persist transcripts for personalization and support; they are product data, not logs
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