Adding artificial intelligence features can transform user engagement and streamline back-office workflows. We cover top use cases and integration patterns to bring AI into modern web applications.
LLM Integration & Prompt Engineering
Integrating OpenAI or Gemini APIs using serverless Route Handlers allows you to build custom assistants, autocomplete modules, or contextual chatbots. Always execute API calls on the server side to protect developer keys.
Multi-modal Content Processing
Modern AI models can process visual, audio, and structured data simultaneously. We use multi-modal calls to handle invoice extraction, automated image background removal, or transcribing user voice logs directly in the app flow.
Streaming and Optimizing Latency
To prevent long loading times, we use server-sent events (SSE) to stream text responses token-by-token. Showing instant feedback keeps the interface active and responsive.
Key Takeaways
- LLM APIs must be wrapped in Server Route Handlers for credential security
- Stream model tokens using server-sent events for a seamless UI experience
- Multi-modal inputs allow automated visual audits, document scans, and audio parsing
- Isolate heavy compute tasks to background execution queues
Written by SVASTSYS TECHNOLOGY Team
Insights and best practices from our engineering and design teams, based on real project experience.
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