---

name: speak-core-workflow-a description: 'Execute Speak primary workflow: AI Conversation Practice with real-time feedback.

Use when implementing conversation practice features, building AI tutor interactions,

or core language learning dialogue systems.

Trigger with phrases like "speak conversation practice",

"speak AI tutor", "speak dialogue", "primary speak workflow".

' allowed-tools: Read, Write, Edit, Bash(npm:*), Grep version: 1.14.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io tags:

• saas
• speak
• workflow compatibility: Designed for Claude Code

---

Speak Core Workflow A: AI Conversation Practice

Overview

Primary workflow for Speak: AI-powered conversation practice with real-time pronunciation feedback and adaptive tutoring. Speak uses GPT-4o for conversation generation and OpenAI's Realtime API for speech processing, delivering sub-second response times.

Prerequisites

• Completed speak-install-auth setup
• Valid API credentials configured
• Audio handling capabilities (microphone or pre-recorded files)

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 restaurant ordering scenario in Spanish
const session = await client.startConversation({
  scenario: 'ordering-food',
  language: 'es',
  level: 'intermediate',
  nativeLanguage: 'en',
  maxTurns: 10,
  feedbackDetail: 'phoneme', // 'word' or 'phoneme'
});

console.log('Session started:', session.id);
console.log('AI Tutor:', session.firstPrompt.text);
// "Bienvenido al restaurante. Soy tu camarero. Que le gustaria ordenar?"

Step 2: Send Student Responses

// Submit audio for pronunciation scoring
const turn1 = await client.sendTurn(session.id, {
  audioPath: './recordings/student-response-1.wav',
});

console.log('Tutor:', turn1.tutorText);
console.log('Pronunciation:', turn1.pronunciationScore); // 0-100
console.log('Grammar:', turn1.corrections);
// [{original: "yo quiero", suggestion: "quisiera", note: "More polite form for ordering"}]
console.log('Vocabulary:', turn1.vocabularyNotes);
// ["camarero = waiter", "ordenar = to order"]

// Or submit text (skips pronunciation scoring)
const turn2 = await client.sendTurn(session.id, {
  text: 'Quisiera una ensalada y un vaso de agua, por favor.',
});

Step 3: Conversation Loop with Progress Tracking

async function runConversationLesson(
  client: SpeakClient,
  scenario: string,
  language: string,
  level: string,
) {
  const session = await client.startConversation({
    scenario, language, level, nativeLanguage: 'en',
  });

  const turns: TurnResult[] = [];
  let isComplete = false;

  while (!isComplete && turns.length < 10) {
    // Display tutor prompt
    const prompt = turns.length === 0
      ? session.firstPrompt.text
      : turns[turns.length - 1].tutorText;
    console.log(`\nTutor: ${prompt}`);

    // Get student audio (mic input or file)
    const audioPath = await recordStudentAudio();

    // Submit and get feedback
    const turn = await client.sendTurn(session.id, { audioPath });
    turns.push(turn);

    // Show feedback
    if (turn.pronunciationScore < 60) {
      console.log(`Pronunciation needs work: ${turn.pronunciationScore}/100`);
      console.log('Try again with this phrase.');
    }
    if (turn.corrections.length > 0) {
      console.log('Grammar notes:', turn.corrections.map(c => c.note).join('; '));
    }

    isComplete = turn.sessionComplete;
  }

  // End session and get summary
  const summary = await client.endSession(session.id);
  return summary;
}

Step 4: Multi-Topic Session

const topics = ['greetings', 'directions', 'ordering-food', 'shopping'];
const results: SessionSummary[] = [];

for (const topic of topics) {
  console.log(`\n=== ${topic.toUpperCase()} ===`);
  const summary = await runConversationLesson(client, topic, 'es', 'intermediate');
  results.push(summary);
  console.log(`Score: ${summary.avgPronunciationScore}/100`);
}

// Overall progress report
console.log('\n=== Session Report ===');
console.table(results.map(r => ({
  topic: r.scenario,
  pronunciation: r.avgPronunciationScore,
  grammar: r.grammarAccuracy + '%',
  newWords: r.newWords.length,
  duration: r.durationMinutes + 'min',
})));

Topic Categories

Category	Scenarios	Level
Daily Life	greetings, introductions, weather	Beginner
Travel	directions, hotel, airport, transport	Beginner-Intermediate
Food & Drink	ordering-food, grocery, cooking	Intermediate
Business	meeting, presentation, negotiation	Intermediate-Advanced
Social	party, dating, opinions, debate	Advanced

Output

• Conversation session with AI tutor
• Real-time pronunciation feedback (0-100 score)
• Grammar corrections and suggestions
• Vocabulary notes for new words
• Session summary with progress metrics

Error Handling

Error	Cause	Solution
Session timeout	Exceeded 30 min	Auto-end with summary, start new session
Audio processing failed	Invalid format	Convert to WAV 16kHz mono
Tutor not responding	API latency	Implement 10s timeout with retry
Recognition failed	Poor audio quality	Prompt user to re-record in quiet environment

Resources

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

Next Steps

For pronunciation-focused training, see speak-core-workflow-b.

Examples

Quick test: Start a greetings scenario with level: 'beginner', send 3 text responses, end session, and review the summary scores.

Full lesson: Run 4 topics in sequence, track pronunciation improvement across topics, and generate a progress report.