From the first teacher interview to the App Store. 10+ years in Korean English academies and six AI products built solo. Chekki AI is live on the App Store and Google Play; Chekki Schools is in final testing ahead of a pilot. At VODABI I build the frontend, backend and database of VODATalk, a voice-AI sales training platform.
Two products in depth: the problem, what I built, and the calls I made along the way.
Sales teams need a consistent way to practise and assess calls. The platform runs realistic AI roleplay calls, scores them against a rubric, and gives managers a view of team progress.
98–100% of mistakes caught in grading evals on 105 synthetic pages
Three problems that are usually treated separately: parents who cannot check English homework with their child, mistakes at home that never reach the next lesson, and teachers writing bilingual parent updates by hand. Chekki closes that loop with one camera scan graded against the teacher's own answer key.
Chekki AI is the app parents open; this is what the academy behind it runs on. A director managing the account, a foreign teacher grading homework, and a Korean teacher messaging parents were all stuck in the same single-page tool, each looking at menus meant for someone else's job.
Designed and built solo.
Bilingual 7-pillar self-assessment quiz that scores a hagwon's AI readiness, emails a personalized report, and feeds Chekki's sales funnel — plus a Basic-Auth admin dashboard and GA4 attribution to see which channel actually converts.
Inbox-native CRM for international school admissions: Outlook add-in reads emails and logs touchpoints in one click, paired with a Next.js territory & pipeline dashboard.
Finds regional academies, cleans the directory metadata, deduplicates against the CRM, and drafts a personalized Gmail deep link per lead.
New directors get a setup to-do list, classes get a join link, and owners who also teach can run their own class. Solo-plan rough edges were fixed and staff screens now show what needs attention first.
Campaign links can now run on phones, behind an admin switch per company and per link, with phone layouts for registration, countdown, call and report. Calls now survive mic loss, silent calls and two starts at once; candidates give consent first, and a full campaign shows a closed message. The product was renamed VODATalk with a new logo.
An audit found the submit API emailed and published whatever report text a request sent. The server now rebuilds the report from the raw answers. Admin stats group on stable ids instead of localized names, and the quiz moved to Chekki's warm design system with labeled form fields and light-mode contrast fixes.
I work best where the product thinking and the implementation sit with one person: evaluation design, voice and multimodal pipelines, and the plumbing that makes them usable day to day.
I'm constantly refining these products. If you have an idea for an improvement or just want to call out a friction point, I'm all ears.
A 7-pillar, EN/KO self-assessment that scores a hagwon director's AI readiness out of 84, emails a personalized report, and routes the result into Chekki's B2B sales funnel — with GA4 attribution and a password-gated admin view behind it.
I would be happy to discuss the relational database schemas, automation rules, or model tuning parameters in more detail. Let's start a conversation by email.
