Output Hypothesis1985
Why you’ll build real fluency
“Comprehensible input is not sufficient... comprehensible output is also necessary to develop learners’ fluency and accuracy.”
You must speak to learn — listening alone isn’t enough
Acquisition-Learning Hypothesis1982
Why you’ll speak naturally
“Only acquisition — a subconscious process similar to how children naturally acquire their first language — fosters spontaneous and fluent language use.”
Natural conversation beats grammar rules for fluency
Speaking Anxiety Research1990
Why you’ll practise without fear
“Students placed speaking in the foreign language at the top of the list when asked which aspects caused the most anxiety.”
Speaking anxiety is the #1 barrier to language learning
AI-Assisted Feedback Research2020
Why you’ll improve faster with AI
“AI-assisted corrective feedback improves accuracy while providing a pleasant learning environment that reduces anxiety about practising speaking.”
AI removes the fear while keeping the learning
Corrective Feedback Meta-Analysis2010
Why real-time correction accelerates learning
“Corrective feedback is beneficial to second language learning, with explicit feedback being more effective than implicit feedback.”
Decades of studies confirm: correction during speaking works
Feedback Timing Preferences2003
Why we correct you mid-sentence
“86% of students reported that errors should be corrected as soon as they were made, to help avoid forming bad habits.”
Learners overwhelmingly prefer immediate correction
Interaction Hypothesis1996
Why our AI conversations feel real
“Negotiation of meaning, and especially negotiation work that triggers interactional adjustments, facilitates acquisition.”
Real conversation — not scripted dialogue — drives acquisition
The Forgetting Curve1885
Why you’ll actually remember vocabulary
“Memory decays exponentially, but flattens with the use of spaced repetition review sessions, which significantly improve retention.”
Without review, you forget most of what you learn within days
Spaced Repetition Optimisation2019
Why our review system is scientifically optimised
“Learners who follow an algorithmically optimised spaced repetition schedule memorise more effectively than those using alternative methods.”
AI-optimised review timing outperforms all other methods
CLT Research Consensus1980
Why lessons focus on real scenarios
“The goal of language education is the ability to communicate in the target language — not grammatical competence alone.”
Communication ability matters more than perfect grammar
Task-Based Language Teaching2020
Why we built 345 professional scenario lessons
“Task-based instruction improves motivation, fluency, and communicative competence by engaging students in workplace scenario simulation.”
Practising real workplace tasks builds real workplace English
CEFR Framework2001
Why every lesson maps to recognised CEFR levels
“The CEFR provides a transparent, coherent and comprehensive basis for language syllabuses, teaching materials, and the assessment of proficiency.”
The global standard used by IELTS, TOEIC, Cambridge & employers
The Noticing Hypothesis1990
Why AI interruption drives deeper learning
“Learners must consciously notice linguistic features in the input before they can acquire them. Noticing is the necessary starting condition for acquisition.”
Mid-sentence correction forces you to notice your mistakes
Corrective Feedback Typology1997
Why our AI coach corrects you as you speak
“Recasts and explicit correction are the most common and effective types of corrective feedback in classroom interaction.”
Direct correction during conversation is the most effective method
Computer-Mediated Communication1996
Why you’ll speak more with AI than in a classroom
“Computer-mediated communication provides a less threatening environment for language practice, increasing learner willingness to communicate.”
Technology removes social pressure, so learners practise more
Pronunciation Research2005
Why pronunciation coaching matters
“Pronunciation instruction that includes feedback on specific segmental and suprasegmental features leads to significant improvement in intelligibility.”
Targeted pronunciation feedback makes you understood
Motivation in SLA2001
Why we use real professional scenarios, not games
“Intrinsic motivation, driven by genuine interest and personal relevance, is a stronger predictor of language learning success than external rewards.”
Relevant scenarios motivate better than badges and streaks
Listening Comprehension Research2007
Why our free tier starts with listening
“Listening comprehension is the foundation upon which speaking proficiency is built. Extensive listening develops the phonological awareness necessary for accurate speech production.”
Listening builds the foundation that speaking requires
Willingness to Communicate1998
Why judgement-free AI practice builds confidence
“Willingness to communicate is the most immediate predictor of frequency of second language use. Reducing anxiety directly increases willingness to speak.”
Less anxiety means more speaking means faster fluency
Vocabulary & Proficiency Research2010
Why vocabulary tracking runs through every lesson
“Vocabulary size is strongly predictive of reading, listening, speaking, and writing proficiency at every CEFR level from A1 to C2.”
Systematic vocabulary building powers all four skills
Authentic Materials Research2007
Why 345 lessons mirror real-life situations
“Authentic materials and scenarios increase learner engagement and facilitate transfer of language skills to real-world contexts.”
Real scenarios transfer to real conversations
Learner Autonomy & CEFR2005
Why CEFR progress tracking keeps you on course
“Self-assessment tools aligned with CEFR descriptors help learners develop metacognitive awareness and take ownership of their learning progress.”
Knowing your level empowers better learning decisions
Multimedia Learning Theory2001
Why lessons combine audio, video, and text
“Multimodal input combining audio, visual, and textual information produces stronger vocabulary retention than any single modality alone.”
Audio, visual, and text together lock vocabulary in memory
Distributed Practice Effect2006
Why daily practice with AI builds lasting fluency
“Regular, distributed practice over time is significantly more effective than massed practice for long-term retention of language skills.”
Short daily sessions outperform long weekly cramming
Output Hypothesis1985
Why you’ll build real fluency
“Comprehensible input is not sufficient... comprehensible output is also necessary to develop learners’ fluency and accuracy.”
You must speak to learn — listening alone isn’t enough
Acquisition-Learning Hypothesis1982
Why you’ll speak naturally
“Only acquisition — a subconscious process similar to how children naturally acquire their first language — fosters spontaneous and fluent language use.”
Natural conversation beats grammar rules for fluency
Speaking Anxiety Research1990
Why you’ll practise without fear
“Students placed speaking in the foreign language at the top of the list when asked which aspects caused the most anxiety.”
Speaking anxiety is the #1 barrier to language learning
AI-Assisted Feedback Research2020
Why you’ll improve faster with AI
“AI-assisted corrective feedback improves accuracy while providing a pleasant learning environment that reduces anxiety about practising speaking.”
AI removes the fear while keeping the learning
Corrective Feedback Meta-Analysis2010
Why real-time correction accelerates learning
“Corrective feedback is beneficial to second language learning, with explicit feedback being more effective than implicit feedback.”
Decades of studies confirm: correction during speaking works
Feedback Timing Preferences2003
Why we correct you mid-sentence
“86% of students reported that errors should be corrected as soon as they were made, to help avoid forming bad habits.”
Learners overwhelmingly prefer immediate correction
Interaction Hypothesis1996
Why our AI conversations feel real
“Negotiation of meaning, and especially negotiation work that triggers interactional adjustments, facilitates acquisition.”
Real conversation — not scripted dialogue — drives acquisition
The Forgetting Curve1885
Why you’ll actually remember vocabulary
“Memory decays exponentially, but flattens with the use of spaced repetition review sessions, which significantly improve retention.”
Without review, you forget most of what you learn within days
Spaced Repetition Optimisation2019
Why our review system is scientifically optimised
“Learners who follow an algorithmically optimised spaced repetition schedule memorise more effectively than those using alternative methods.”
AI-optimised review timing outperforms all other methods
CLT Research Consensus1980
Why lessons focus on real scenarios
“The goal of language education is the ability to communicate in the target language — not grammatical competence alone.”
Communication ability matters more than perfect grammar
Task-Based Language Teaching2020
Why we built 345 professional scenario lessons
“Task-based instruction improves motivation, fluency, and communicative competence by engaging students in workplace scenario simulation.”
Practising real workplace tasks builds real workplace English
CEFR Framework2001
Why every lesson maps to recognised CEFR levels
“The CEFR provides a transparent, coherent and comprehensive basis for language syllabuses, teaching materials, and the assessment of proficiency.”
The global standard used by IELTS, TOEIC, Cambridge & employers
The Noticing Hypothesis1990
Why AI interruption drives deeper learning
“Learners must consciously notice linguistic features in the input before they can acquire them. Noticing is the necessary starting condition for acquisition.”
Mid-sentence correction forces you to notice your mistakes
Corrective Feedback Typology1997
Why our AI coach corrects you as you speak
“Recasts and explicit correction are the most common and effective types of corrective feedback in classroom interaction.”
Direct correction during conversation is the most effective method
Computer-Mediated Communication1996
Why you’ll speak more with AI than in a classroom
“Computer-mediated communication provides a less threatening environment for language practice, increasing learner willingness to communicate.”
Technology removes social pressure, so learners practise more
Pronunciation Research2005
Why pronunciation coaching matters
“Pronunciation instruction that includes feedback on specific segmental and suprasegmental features leads to significant improvement in intelligibility.”
Targeted pronunciation feedback makes you understood
Motivation in SLA2001
Why we use real professional scenarios, not games
“Intrinsic motivation, driven by genuine interest and personal relevance, is a stronger predictor of language learning success than external rewards.”
Relevant scenarios motivate better than badges and streaks
Listening Comprehension Research2007
Why our free tier starts with listening
“Listening comprehension is the foundation upon which speaking proficiency is built. Extensive listening develops the phonological awareness necessary for accurate speech production.”
Listening builds the foundation that speaking requires
Willingness to Communicate1998
Why judgement-free AI practice builds confidence
“Willingness to communicate is the most immediate predictor of frequency of second language use. Reducing anxiety directly increases willingness to speak.”
Less anxiety means more speaking means faster fluency
Vocabulary & Proficiency Research2010
Why vocabulary tracking runs through every lesson
“Vocabulary size is strongly predictive of reading, listening, speaking, and writing proficiency at every CEFR level from A1 to C2.”
Systematic vocabulary building powers all four skills
Authentic Materials Research2007
Why 345 lessons mirror real-life situations
“Authentic materials and scenarios increase learner engagement and facilitate transfer of language skills to real-world contexts.”
Real scenarios transfer to real conversations
Learner Autonomy & CEFR2005
Why CEFR progress tracking keeps you on course
“Self-assessment tools aligned with CEFR descriptors help learners develop metacognitive awareness and take ownership of their learning progress.”
Knowing your level empowers better learning decisions
Multimedia Learning Theory2001
Why lessons combine audio, video, and text
“Multimodal input combining audio, visual, and textual information produces stronger vocabulary retention than any single modality alone.”
Audio, visual, and text together lock vocabulary in memory
Distributed Practice Effect2006
Why daily practice with AI builds lasting fluency
“Regular, distributed practice over time is significantly more effective than massed practice for long-term retention of language skills.”
Short daily sessions outperform long weekly cramming