THE SPEAKHOUR METHOD

Build the association.
Then practise the response.

AI changes the situation, difficulty, and feedback. The learning sequence stays purposeful.

01

Meaning before rules

A familiar thought gives the learner a clear starting point. Useful English is attached to that meaning inside a real situation—similar to how “A for apple” creates a memorable connection, but now from a thought to an English response.

02

Retrieval before recognition

Seeing an answer is not enough. Learners complete thoughts, answer questions, imitate rhythm, role-play, and speak freely so English becomes available when a conversation demands it.

03

Feedback with a next step

Feedback stays focused: what was clear, what interrupted fluency, and what to practise next. The lesson then returns to that skill in a new context.

04

Support that gradually fades

Early prompts can use familiar-language guidance. As the connection strengthens, support reduces and learners respond directly in English.

RESEARCH-INFORMED, NOT RANDOM

The principles beneath the AI.

SpeakHour’s design draws on established learning principles including comprehensible context, active recall, deliberate practice, spaced reinforcement, and timely feedback. “Research-informed” means these principles guide product decisions; it does not mean every learner will progress at the same rate.

See the connection in action.

Try a sample lesson