What is Autoblocks?
Autoblocks enables teams to continuously improve their scaling AI-powered products with speed and confidence.
Product teams at companies of all sizes—from seed-stage startups to multi-billion dollar enterprises—use Autoblocks to guide their AI development efforts.
The Autoblocks platform revolves around outcomes-oriented development. It marries product analytics with testing to help teams laser-focus their resources on making product changes that improve KPIs that matter.
Testing and evaluation
Build conviction that the changes you’re making will drive better user outcomes.
- Compare how prompt variations perform against test cases
- Refresh test case datasets based on real user inputs observed in production
- Write custom evaluators and tests to augment human review
- Rapidly test prompt and RAG pipeline changes in a CLI
- Use the same evaluators between local testing and production
Learn more about testing & evaluations
AI Product Analytics
Proactively uncover opportunities for improvement.
- Run A/B tests for different prompts and configurations in production
- Derive insights from unstructured user inputs and feedback
- Understand correlations between AI product parameters (prompt, context, model) and user outcomes (conversions, acceptance rates, click-through rates)
- Configure real-time dashboards to track user outcomes
Learn more about AI product analytics
Monitoring
Quickly identify & debug issues.
- Identify production bugs and quality regressions using online evaluations
- Debug and visualize complex LLM chains and agents using trace trees
- Use filters and search to pinpoint specific user interactions
- Configure real-time dashboards to track relevant metrics such as latency and token usage