From OpenAI · · 1m 30s
Amplitude Ships Product Improvements in 1, 2 Days with OpenAI
Amplitude uses OpenAI models to ship product improvements in 1, 2 days.
In brief
Amplitude uses OpenAI models to ship product improvements in 1, 2 days. Amplitude's Wave product agent, powered by OpenAI models, helps teams ship product improvements in 1, 2 days with a 160% lift in agent engagement. Originally reported by OpenAI.
Amplitude's Wave Product Agent
Amplitude's proactive product agent Wave identifies what to build and helps teams ship changes with coding agents.
Wave Powered by OpenAI Models
Wave is roughly 80% powered by OpenAI models including GPT‑6.1 Sol, GPT‑6 Luna, and GPT‑Image‑2.5 Flare.
1, 2 Days to Ship Improvements
Amplitude estimates Wave helps teams ship product improvements in 1, 2 days, down from roughly a month.
160% Agent Engagement Lift
Wave drove a 160% lift in agent engagement vs. control after one day on Amplitude's homepage.
Wave's Workflow
Teams give Wave a product area and goals to improve; it identifies opportunities, develops solutions, and coordinates implementation.
OpenAI Models for Different Tasks
GPT‑6.1 Sol supports deep investigations, GPT‑6 Luna handles frequent tasks, and GPT‑Image‑2.5 Flare generates product mockups.
160% Lift in Homepage Experiment
Wave personalized suggestion cards, increasing messages sent through homepage cards by 160% after one day.
GPT‑6.1 Sol Performance
GPT‑6.1 Sol scored 4.06 out of 5 for opportunity investigations and had the fastest median investigation time at 54 minutes.
Data Science Agent Evaluation
GPT‑6.1 Sol achieved a mean model cost of $1.34 per dispatch for data science tasks, lower than alternatives.
The key point
Amplitude's Wave product agent, powered by OpenAI models, helps teams ship product improvements in 1, 2 days with a 160% lift in agent engagement.
