Start with the Problem

Before selecting a model or framework, define the user problem and the measurable outcome. A strong problem statement makes it easier to decide whether AI is actually appropriate.

Six Practical Stages

1. Discovery: Understand users, workflows, data, and constraints.
2. Validation: Test whether AI can improve the target outcome.
3. Prototype: Build the smallest useful experience.
4. Production engineering: Add authentication, data protection, reliability, observability, and scalable architecture.
5. Evaluation: Measure quality, latency, cost, and user outcomes.
6. Optimization: Improve prompts, retrieval, workflows, UX, and infrastructure based on evidence.

AlphaReaction approaches AI product development as a combination of product strategy, software engineering, automation, and continuous improvement.