Technology
OpenAI
Integrate AI capabilities using OpenAI's GPT models and DALL-E. We use OpenAI APIs for chatbots, content generation, and applications requiring natural language understanding.
Best For
Ideal use cases
Applications needing natural language processing
Projects requiring text generation
Chatbots and conversational interfaces
Content generation features
Applications with language understanding needs
What We Build
Projects we deliver
AI-powered chatbots
Content generation tools
Text summarization features
Language translation applications
Code generation assistants
Email and document analysis
Creative writing tools
Customer support automation
Ecosystem
Compatible tools & integrations
Seamless Integrations
Works with your existing stack
Use Cases
Recommended use cases
Customer support chatbots
Content generation platforms
Writing assistants and tools
Applications needing language understanding
Prototypes testing AI capabilities
Delivery
How we deliver
We integrate OpenAI APIs with proper error handling and rate limiting
Implement streaming for better user experience
Use function calling for structured outputs and tool use
Set up proper prompt engineering and context management
Implement cost monitoring and optimization
FAQ
Frequently asked questions
We optimize costs by caching responses, using appropriate models (GPT-3.5 for simple tasks, GPT-4 for complex), implementing rate limiting, and monitoring usage. We set up billing alerts.
Yes. We can fine-tune GPT-3.5 models for specific use cases. Fine-tuning improves accuracy for domain-specific tasks but requires training data and additional costs.
We implement rate limiting, retry logic with exponential backoff, and request queuing. We also use caching to reduce API calls and monitor usage to stay within limits.
AI
Add AI on top of this stack
Two common AI services that pair well with this technology, plus a fixed-scope gig to start quickly.
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