Amplitude has unveiled Wave, a proactive product agent built primarily on OpenAI models, which significantly accelerates the product improvement process. According to the company, Wave enables teams to ship product enhancements in just 1–2 days, a dramatic reduction from the previous timeline of roughly a month. This innovation has also driven a 160% lift in agent engagement for certain applications.
How Wave Accelerates Product Development
Wave integrates Amplitude’s product data, session replays, customer feedback, and code to identify and prioritize opportunities for improvement. It then develops solutions and coordinates implementation with coding agents, such as OpenAI’s Codex, while tracking outcomes 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 serves a specific purpose within Wave’s workflow. GPT-6.1 Sol handles deep investigations into code and data, GPT-6 Luna manages frequent, lower-cost tasks like code scanning, and GPT-Image-2.5 Flare generates product mockups using screenshots from session replays as visual references. Once an opportunity is ready for development, Wave generates a technical plan with acceptance criteria, which can be sent directly to coding agents for implementation.
Notable Results and Cost Efficiency
Amplitude has highlighted several measurable outcomes from Wave’s deployment. On its own homepage, Wave helped personalize suggestion cards, resulting in a 160% increase in card-driven sends. Additionally, the company reported a 51% reduction in mean model costs per dispatch for GPT-6.1 Sol during data science agent evaluations, with a model cost of $1.34 for its Opportunity Investigator evaluation.
CEO Perspective on AI’s Role
Amplitude CEO Spenser Skates emphasized the transformative potential of AI in product development, stating, “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.”
Implications for Product Teams
Wave empowers product teams to maintain control over what ships by providing evidence-backed opportunities and implementation plans. Teams can review proposed changes, validate their impact through experiments, and use the learnings to refine subsequent improvements. This iterative approach ensures that product enhancements are both data-driven and aligned with business goals.
By leveraging OpenAI’s advanced models, Amplitude’s Wave represents a significant step forward in enabling faster, more efficient product development cycles while maintaining a focus on measurable outcomes.
