How Amplitude ships product improvements in 1–2 days with OpenAI
Summary
Amplitude's proactive product agent Wave uses OpenAI models to help teams ship product improvements in 1-2 days, down from roughly a month. Wave is approximately 80% powered by OpenAI models including GPT-6.1 Sol, GPT-6 Luna, and GPT-Image-2.5 Flare. It analyzes Amplitude data, session replays, customer feedback, and code to identify opportunities, develop solutions, and coordinate implementation with coding agents like Codex. On Amplitude's own homepage, Wave helped personalize suggestion cards, driving a 160% lift in card-driven sends after one day. Amplitude evaluates models for each task based on quality, latency, and cost: GPT-6.1 Sol handles deep investigations with strong reasoning, GPT-6 Luna manages high-volume, lower-cost tasks, and GPT-Image-2.5 Flare generates product mockups. Customer-launched experiments show one in four went live the same day Wave surfaced the opportunity, half in under four days, and two in three within a week. CEO Spenser Skates says the ambition with OpenAI is to make self-improving products the way companies build software.
(Source:OpenAI)