Editor Setup

xAI Grok Setup

Learn how to use xAI Grok effectively with Tomba API documentation for code generation and development assistance.

Quick Use

Direct Documentation Reference

Reference our documentation in your Grok prompts:

Code
 
Hey Grok! Check out the Tomba API docs at https://docs.tomba.io/llms.txt and help me build a sick email verification API in Rust that's blazingly fast and handles errors like a boss.

Real-time Web Integration

Grok can access real-time information, making it great for current API integration:

Code
 
Using the latest Tomba API documentation, create a modern JavaScript email verification library that:
- Uses the newest ES2024 features
- Implements proper rate limiting
- Has excellent TypeScript support
- Works with the latest framework versions
- Includes real-time validation feedback

Grok-Specific Features

1. Real-time Information Access

Grok can access current web information, making it excellent for up-to-date API integration:

Code
 
What are the current rate limits for Tomba API and how do they compare to other email verification services? Based on this analysis and the Tomba API docs, create an optimal rate limiting strategy for a high-volume application.

2. Conversational Development Style

Grok responds well to casual, conversational prompts:

Code
 
Yo Grok! I'm building this email verification thing with Tomba API. The docs are at https://docs.tomba.io/llms.txt.

I need something that:
- Doesn't suck at handling errors
- Can process like 10k emails without breaking
- Has proper TypeScript because I'm not a caveman
- Actually works in production

Hook me up with a solid implementation!

3. Humor and Personality

Leverage Grok's personality for engaging development sessions:

Code
 
Grok, I need your help to make this email verification code less terrible. The Tomba API docs are at https://docs.tomba.io/llms.txt.

Current situation: My code is about as reliable as a chocolate teapot.
Goal: Make it production-ready without wanting to throw my laptop out the window.

What's your take on building this properly?

Development Workflows

1. Rapid Prototyping

Quick Start Request:

Code
 
Grok, I need to quickly prototype an email verification feature using Tomba API. The docs are at https://docs.tomba.io/llms.txt.

Give me the fastest way to:
1. Set up a basic Node.js client
2. Verify a single email
3. Handle the most common errors
4. Test it works

Skip the fancy stuff for now, just make it work!

2. Production Hardening

Scaling Discussion:

Code
 
Alright Grok, time to get serious. I've got this basic Tomba API integration working, but now I need to scale it up for production.

Current situation:
- Handling ~1000 emails/day
- Need to scale to 100k/day
- Can't afford downtime
- Budget constraints

Based on the Tomba API docs and your knowledge of scaling APIs, what's the battle plan?

3. Problem Solving

Debugging Session:

Code
 
Grok, I'm in debugging hell. My Tomba API integration is acting up:

Issues:
- Random timeouts (but not always)
- Memory leaks somewhere
- Rate limits hitting unexpectedly
- Error messages that make no sense

The docs are at https://docs.tomba.io/llms.txt. Help me figure out what's going wrong and fix this mess!

Code Generation Examples

1. Modern JavaScript/TypeScript

Prompt:

Code
 
Grok, create a modern TypeScript client for Tomba API that uses all the latest and greatest features:

- ES2024 syntax where applicable
- Proper async/await patterns
- Modern error handling
- Type safety that actually helps
- Works with Bun, Node.js, and Deno
- Has built-in retry logic
- Caches intelligently
- Doesn't make developers cry

Use the Tomba API docs at https://docs.tomba.io/llms.txt for the implementation details.

2. Performance-Focused Implementation

Prompt:

Code
 
I need a high-performance email verification service using Tomba API that can handle serious traffic.

Requirements:
- Process 50k emails/hour
- Sub-100ms response times
- Memory efficient
- Fault tolerant
- Actually works under load

Technology preference: Your choice, but justify it!

Based on the Tomba API docs (https://docs.tomba.io/llms.txt), what would you build and how?

3. Developer Experience Focus

Prompt:

Code
 
Grok, create a Tomba API wrapper that developers will actually want to use:

- Intuitive API design
- Excellent error messages
- Great debugging experience
- Fantastic documentation
- Easy testing capabilities
- Minimal boilerplate
- Works everywhere

Make it so good that developers recommend it to their friends. Use the Tomba docs at https://docs.tomba.io/llms.txt for accuracy.

Framework Integrations

1. Next.js Integration

Code
 
Hey Grok! I'm building a Next.js app that needs email verification. Based on the Tomba API docs (https://docs.tomba.io/llms.txt), create:

- API routes for email verification
- Client-side hooks for real-time validation
- Server components for bulk processing
- Middleware for rate limiting
- Edge function compatibility
- Proper caching strategies
- TypeScript throughout

Make it work with both App Router and Pages Router because compatibility matters!

2. Svelte/SvelteKit Integration

Code
 
Grok, I'm all-in on Svelte and need to integrate Tomba email verification. The API docs are at https://docs.tomba.io/llms.txt.

Create a SvelteKit implementation with:
- Svelte stores for state management
- Actions for form handling
- Load functions for SSR
- Reactive email validation
- Proper error handling
- TypeScript support
- Component composition

Make it feel native to the Svelte ecosystem!

3. Fresh (Deno) Integration

Code
 
I'm experimenting with Fresh and Deno. Based on the Tomba API docs, create an email verification integration that:
- Uses Deno's native features
- Works with Fresh's island architecture
- Handles edge cases gracefully
- Is properly typed
- Doesn't require node_modules

Show me how modern web development should be done!

Advanced Use Cases

1. Real-time Email Validation

Code
 
Grok, I want to build real-time email validation that doesn't annoy users. Using Tomba API (docs: https://docs.tomba.io/llms.txt), create:

- Debounced validation that's smart about when to check
- Progressive validation (format → domain → deliverability)
- Graceful degradation when API is unavailable
- User feedback that actually helps
- Proper handling of edge cases
- Performance that doesn't suck

Make it smooth like butter!

2. Bulk Processing Pipeline

Code
 
I need to process millions of emails efficiently with Tomba API. Design a system that:

- Handles massive batches without choking
- Processes in parallel but respects rate limits
- Recovers from failures gracefully
- Provides progress tracking
- Scales horizontally
- Doesn't cost a fortune to run

What's your architecture recommendation? Use the Tomba docs for API specifics.

3. Multi-tenant SaaS Integration

Code
 
Building a SaaS platform that needs email verification for multiple customers. Each customer has different needs and usage patterns.

Design a multi-tenant system using Tomba API that:
- Isolates customer data and usage
- Handles different subscription tiers
- Provides usage analytics per tenant
- Scales per customer needs
- Maintains security boundaries
- Offers white-label capabilities

What's the cleanest way to architect this?

Best Practices for Grok

1. Be Direct and Conversational

Code
 
Grok, straight up - I need to integrate Tomba email verification into my app without it becoming a nightmare. The docs are at https://docs.tomba.io/llms.txt.

What's the smartest way to do this that won't bite me later?

2. Ask for Opinions and Alternatives

Code
 
Based on the Tomba API, what do you think is better for email verification:

1. Real-time validation on every keystroke
2. Validation on form submission
3. Background validation with smart caching

Give me your honest take and explain why!

3. Request Practical Examples

Code
 
Show me how you'd actually implement Tomba email verification in a real app. Don't give me toy examples - show me production-ready code that handles the messy reality of building software.

Include the stuff that tutorials skip:
- Error handling for weird edge cases
- Rate limiting that actually works
- Logging that helps with debugging
- Testing that catches real issues

Integration Patterns

1. Event-Driven Validation

Code
 
Grok, help me design an event-driven email validation system using Tomba API:

Events I'm thinking:
- EmailSubmitted
- ValidationRequested
- ValidationCompleted
- ValidationFailed

How would you structure this to be resilient and fast? What events am I missing?

2. Circuit Breaker Pattern

Code
 
My Tomba API integration needs to be bulletproof. Implement a circuit breaker pattern that:

- Detects when Tomba API is having issues
- Falls back gracefully to basic validation
- Recovers automatically when service is restored
- Doesn't cascade failures through my system
- Provides useful metrics for monitoring

Make it robust but not overly complex!

3. Caching Strategy

Code
 
What's the smartest caching strategy for Tomba email verification?

Considerations:
- Email verification results can change over time
- Some emails are checked more frequently
- Cache invalidation is hard
- Memory vs accuracy tradeoffs
- Multi-level caching possibilities

Give me your cache architecture recommendations!

Performance Optimization

1. Latency Optimization

Code
 
Grok, my Tomba API calls are too slow for real-time UX. Current average is 800ms, need to get under 200ms.

Analyze the bottlenecks and give me optimization strategies:
- Connection pooling
- Request batching
- Geographic distribution
- Smart caching
- Predictive validation

What's the biggest bang for optimization buck?

2. Cost Optimization

Code
 
I'm burning through my Tomba API quota too fast. Help me optimize costs while maintaining quality:

Current usage patterns:
- Lots of duplicate email checks
- Validation of obviously invalid emails
- Peak traffic periods waste quota

Design a cost-effective validation strategy that's still user-friendly.

Troubleshooting

Grok-Specific Tips

Use Conversational Tone: Grok responds well to natural conversation
Be Specific About Problems: Describe actual pain points, not theoretical issues
Ask for Opinions: Grok enjoys sharing perspectives on technical decisions
Request Real-world Examples: Ask for production-ready, not tutorial code

Common Patterns

"What's your take on...": Get Grok's opinion on technical approaches
"Show me how you'd actually...": Request practical implementations
"Help me debug this mess...": Get assistance with real problems
"What am I missing here?": Identify gaps in your approach

Additional Resources

Last modified on October 2, 2025

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