Autoblocks

From Proof of Concept to Production

This guide walks you through the lifecycle of an AI project using Autoblocks, from initial proof of concept (POC) to production deployment.

1. Proof of Concept Stage

At the POC stage, your goal is to quickly validate the feasibility and potential of your AI idea.

Key Steps:

  1. Define your use case: Clearly outline what problem you're trying to solve with AI.
  2. Rapid prototyping: Use Autoblocks local testing capabilities to quickly experiment.
  3. Grid search: Use Autoblocks grid search to find the best model and prompts for your use case.

2. Development Stage

As your POC shows promise, move into the development stage to refine your AI application.

Key Steps:

  1. Prompt engineering: Use Autoblocks prompt management to version, collaborate, and iterate on your prompts.
  2. Autoblocks tracer: Use Autoblocks tracer to understand what's happening under the hood.
  3. AI product playground: Use Autoblocks AI product playground to enable anyone on your team to test your configurations and prompts.

3. Testing and Evaluation

Before moving to production, thoroughly test and evaluate your AI application.

Key Steps:

  1. Automated testing: Set up regression testing in CI with Autoblocks.
  2. Offline evaluations: Use Autoblocks offline evaluations to evaluate your applications performance.
  3. Human review: Utilize Autoblocks human review to get insights from human testers.

4. Production Deployment

With thorough testing complete, prepare for production deployment.

Key Steps:

  1. Monitoring: Set up dashboards and views to visualize your most important data & metrics in a consolidated view.
  2. Online evaluations: Use Autoblocks online evaluations to monitor your applications performance in production.
  3. A/B testing: Leverage Autoblocks to conduct A/B tests on prompts and models.
  4. Refresh test cases: Inspect production events and refresh your test cases to ensure they are still relevant and comprehensive.

By following this lifecycle with Autoblocks, you can efficiently take your AI project from a proof of concept to a robust, production-ready application. Autoblocks provides the tools and infrastructure needed at each stage, allowing you to focus on creating value with AI.