LLM Integration Case Study: AI Marketing App
AI marketing workspace for planning and creating content.
Solution
AI Integration
Add LLM features to your product safely, with evaluation and guardrails from day one.
The problem
- 01
Unsure which AI features are worth building
- 02
LLM outputs are unpredictable in production
- 03
No way to measure if the AI is getting better or worse
How QA Labs solves it
- Step 1
Discover use cases
We identify AI features with clear value and measurable success criteria.
- Step 2
Build and integrate
Prompt design, retrieval, and API integration into your existing product.
- Step 3
Evaluate before launch
Eval test sets measure accuracy, safety, and edge cases before release.
- Step 4
Monitor in production
Ongoing evaluation catches drift and regressions after launch.
Tools we use
- OpenAI
- Anthropic
- LangChain
- Pinecone
- Promptfoo