name: speak-hello-world description: 'Create your first Speak AI tutoring session with pronunciation feedback.

Use when starting a new Speak integration, testing your setup,

or learning basic language learning API patterns.

Trigger with phrases like "speak hello world", "speak example",

"speak quick start", "first speak lesson".

' allowed-tools: Read, Write, Edit, Bash(npm:), Bash(node:) version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io tags:

• saas
• speak
• api
• testing compatibility: Designed for Claude Code, also compatible with Codex and OpenClaw

Speak Hello World

Overview

Create your first AI tutoring session with Speak. Demonstrates conversation practice, pronunciation assessment, and real-time feedback using GPT-4o-powered tutoring.

Prerequisites

• Completed speak-install-auth setup
• Valid API credentials configured
• Microphone access (optional for testing)

Instructions

Step 1: Start a Conversation Session

import { SpeakClient } from '@speak/language-sdk';

const client = new SpeakClient({
  apiKey: process.env.SPEAK_API_KEY!,
  appId: process.env.SPEAK_APP_ID!,
  language: 'es',
});

// Start a beginner Spanish lesson
const session = await client.startConversation({
  scenario: 'greetings',
  language: 'es',
  level: 'beginner',
  nativeLanguage: 'en',
});

console.log('Session ID:', session.id);
console.log('AI Tutor:', session.firstPrompt.text);
// Output: "Hola! Bienvenido a tu leccion de espanol. Como te llamas?"
console.log('Audio URL:', session.firstPrompt.audioUrl);

Step 2: Send a Student Response

// Submit text response (or audio file for pronunciation scoring)
const turn = await client.sendTurn(session.id, {
  text: 'Hola, me llamo Juan. Mucho gusto.',
  // Or: audioPath: './recordings/response.wav'
});

console.log('Tutor response:', turn.tutorText);
console.log('Pronunciation score:', turn.pronunciationScore); // 0-100
console.log('Grammar corrections:', turn.corrections);
// Output: [{original: "me llamo", suggestion: null, correct: true}]
console.log('Vocabulary notes:', turn.vocabularyNotes);

Step 3: Pronunciation Assessment

// Assess pronunciation of a specific phrase
const assessment = await client.assessPronunciation({
  audioPath: './recordings/hola-como-estas.wav',
  targetText: 'Hola, como estas?',
  language: 'es',
  detailLevel: 'phoneme', // 'word' or 'phoneme'
});

console.log(`Overall score: ${assessment.score}/100`);
for (const word of assessment.words) {
  console.log(`  "${word.text}": ${word.score}/100`);
  if (word.phonemes) {
    for (const p of word.phonemes.filter(p => p.score < 70)) {
      console.log(`    Weak phoneme: ${p.symbol} (${p.score}) - ${p.suggestion}`);
    }
  }
}

Step 4: End Session and Review

const summary = await client.endSession(session.id);
console.log('Session Summary:');
console.log(`  Duration: ${summary.durationMinutes} min`);
console.log(`  Turns: ${summary.totalTurns}`);
console.log(`  Pronunciation: ${summary.avgPronunciationScore}/100`);
console.log(`  Grammar: ${summary.grammarAccuracy}%`);
console.log(`  New vocabulary: ${summary.newWords.join(', ')}`);

Output

• Working conversation session with AI tutor
• Pronunciation assessment with phoneme-level feedback
• Session summary with learning metrics
• Console output showing scores and corrections

Error Handling

Resources

• Speak Website
• Speak GPT-4 Blog
• OpenAI Realtime API

Next Steps

Proceed to speak-local-dev-loop for development workflow setup.

Examples

Text-only test: Skip audio and use text responses to test the conversation flow before integrating microphone input.

Multi-language: Start sessions in different languages by changing the language parameter to ko (Korean), ja (Japanese), or fr (French).