Amplitude Accelerates Product Improvements with OpenAI-Powered Wave

Amplitude has unveiled significant advancements in product development efficiency through its AI-powered agent, Wave. Built primarily on OpenAI models, Wave enables teams to identify, implement, and measure product improvements in as little as 1–2 days, a dramatic reduction from the previous timeline of approximately one month.

Wave’s AI-Driven Workflow

Wave integrates Amplitude data, session replays, customer feedback, and code to identify opportunities for improvement. It prioritizes these opportunities, develops solutions, and coordinates implementation with human teams and coding agents such as OpenAI’s Codex. The system also tracks the outcomes of these changes, using the results to inform future iterations.

Amplitude reports that Wave is approximately 80% powered by OpenAI models, including GPT-6.1 Sol, GPT-6 Luna, and GPT-Image-2.5 Flare. Each model is tailored to specific tasks: GPT-6.1 Sol handles deep investigations into code and data, GPT-6 Luna manages lower-cost tasks like code scanning, and GPT-Image-2.5 Flare generates product mockups using visual references from session replays.

Performance Metrics and Impact

Wave has demonstrated measurable success in enhancing engagement and reducing costs. On Amplitude’s homepage, Wave was instrumental in personalizing suggestion cards, resulting in a 160% increase in card-driven sends. Additionally, the mean model cost per dispatch for GPT-6.1 Sol was reduced by 51% during the Data Science Agent evaluation, with a model cost of $1.34 recorded for the Opportunity Investigator evaluation.

According to Amplitude CEO Spenser Skates, "AI can now find useful work we never thought to assign it. OpenAI’s models can investigate a problem, write and run code, and use the results to decide what to try next."

Strategic Implications

By leveraging OpenAI’s advanced models, Amplitude has streamlined the process of turning product insights into actionable improvements. This capability not only accelerates development cycles but also enhances the precision and impact of product updates, positioning Amplitude as a leader in AI-driven product management.