Complete guides, API references, and tutorials to unleash the full power of NeuralHub Pro. From beginner to AI expert in minutes.
NeuralHub Pro is a ready-to-use application. No configuration, installation, or registration required!
Single file, 150MB
All AI models included
Double click
No configuration needed
GPT-5, Claude, Grok
Free and unlimited
Smartest for text and code
Best for analysis and research
Real-time information and humor
No more instructions needed. Just download and start using all AI capabilities right now!
Download NowOpenAI's most advanced language model with unprecedented capabilities:
// GPT-5 Example
const result = await client.generate({
model: 'gpt5',
prompt: 'Analyze this code and suggest optimizations',
context: yourCodeHere,
features: ['code_execution', 'performance_analysis']
});
Anthropic's constitutional AI with unmatched safety and reliability:
// Claude Example
const analysis = await client.generate({
model: 'claude',
prompt: 'Analyze the ethical implications of this business decision',
document: longDocumentText,
focus: 'ethical_analysis'
});
xAI's cutting-edge model with live internet access and humor:
// Grok Example
const trendingContent = await client.generate({
model: 'grok',
prompt: 'Create a viral social media post about today\'s tech news',
features: ['real_time_data', 'trend_analysis'],
style: 'engaging'
});
Generate AI content with any model
curl -X POST "https://api.neuralhubpro.com/v1/generate" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt5",
"prompt": "Write a Python function to sort a list",
"max_tokens": 1000,
"temperature": 0.7,
"stream": false
}'
Generate images with DALL-E 3
{
"prompt": "A futuristic AI robot helping humans",
"size": "1024x1024",
"quality": "hd",
"style": "vivid",
"n": 1
}
List available AI models and their capabilities
Check your API usage and limits
const story = await client.generate({
model: 'gpt5',
prompt: `Write a short story about ${theme}`,
parameters: {
creativity: 0.9,
length: 'short',
genre: 'sci-fi'
}
});
// Add interactive elements
const choices = await client.generate({
model: 'gpt5',
prompt: `Based on this story, create 3 "choose your adventure" options`,
context: story.content
});
// Analyze market trends with Grok's real-time data
const marketAnalysis = await client.generate({
model: 'grok',
prompt: 'Analyze current market trends for ${industry}',
features: ['real_time_data', 'financial_analysis'],
format: 'executive_summary'
});
// Get ethical perspective from Claude
const ethicalReview = await client.generate({
model: 'claude',
prompt: 'Review this business strategy for ethical implications',
context: marketAnalysis.content
});
// Generate full-stack application
const app = await client.generate({
model: 'gpt5',
prompt: 'Create a React + Node.js todo app with authentication',
features: ['code_execution', 'testing'],
output: 'full_project'
});
// Security review
const security = await client.generate({
model: 'claude',
prompt: 'Review this code for security vulnerabilities',
code: app.backend_code,
focus: 'security_audit'
});
// Error handling example
try {
const response = await client.generate({
model: 'gpt5',
prompt: yourPrompt,
timeout: 30000 // 30 seconds
});
} catch (error) {
if (error.code === 'RATE_LIMITED') {
console.log('Rate limit exceeded. Try again in:', error.retryAfter);
} else if (error.code === 'INVALID_KEY') {
console.log('Please check your API key');
} else {
console.log('Unexpected error:', error.message);
}
}
Chain different AI models for complex tasks:
// Advanced workflow example
const workflow = new NeuralWorkflow([
{
model: 'grok',
task: 'research',
prompt: 'Find latest trends in ${topic}'
},
{
model: 'claude',
task: 'analyze',
prompt: 'Analyze the research data for insights',
input: 'previous_output'
},
{
model: 'gpt5',
task: 'create',
prompt: 'Create a presentation based on the analysis',
input: 'previous_output',
format: 'powerpoint'
}
]);
const result = await workflow.execute();
Get AI responses as they're generated:
const stream = await client.generateStream({
model: 'gpt5',
prompt: 'Write a long article about AI',
stream: true
});
for await (const chunk of stream) {
process.stdout.write(chunk.content);
// Update UI in real-time
updateUI(chunk.content);
}