Vocabulary infrastructure for Latin America’s AI-powered English learning wave
The Scenario
Latin America’s AI market is surging — $8B+ in private investment announced, regional LLMs like Latam-GPT emerging. An adult learner in Latin America practices business English on OpenEnglish and encounters “perspective” in a meeting simulation. They need the definition, Spanish translation, a structured lesson in the strategist teaching style, and an assessment — a complete teach-then-test cycle in three API calls.
Step 1 — Word Orb looks up the word
One API call returns a verified definition, translations, pronunciation audio, and etymology.
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Step 2 — Lesson Orb delivers a structured lesson
A 5-phase lesson (hook → story → wonder → action → wisdom) with the strategist teaching archetype.
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Step 3 — Quiz Orb assesses comprehension
Assessment questions aligned to the lesson content through the knowledge graph. Your agent tests what it taught.
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Step 4 — The Knowledge Graph connects everything
30,288 connections link words to lessons to assessments. Every quiz question tests what the lesson taught.
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Why this matters for OpenEnglish
Built by OpenEnglish’s co-founder — designed from experience teaching English to 35+ million Latin American learners
As regional AI models (Latam-GPT) improve, they need verified English vocabulary — Orb provides the ground truth for 162K definitions across 47 language pairs
Complete teach-then-test cycle: definition → structured lesson → aligned assessment, all from deterministic API calls — no LLM drift between sessions
Live-teacher model enhanced — Orb’s structured lesson plans give teachers a ready-made framework for vocabulary segments in live classes