Summary: From summarization to document extraction, generative AI can improve existing apps. Here's how to integrate it responsibly.
Large language models can add powerful features to existing software without rebuilding it.
High-value features
- Summaries of long documents, tickets or meetings
- Search that understands natural language
- Data extraction from PDFs and forms
- Drafting emails, descriptions and reports for human review
- Classification of requests and documents
Architecture basics
- Call model APIs from your back end, never directly from the browser with secret keys
- Use retrieval over your own data for accurate answers
- Cache responses where possible to control cost
- Log prompts and outputs for quality review
Privacy and security
Minimize sensitive data sent to providers, use business terms that restrict training on your data, and consider private deployments for regulated data.
FAQs
Which provider should we use?
OpenAI, Anthropic, Google and open-source models each have strengths; we benchmark for your use case.
How do we evaluate quality?
Create test sets of real examples and measure accuracy before launch.
What about costs?
Costs scale with usage; choosing the right model size and caching keeps them manageable.
