Stampli cuts launch hours by 68% using ChatGPT Work
Stampli used Codex and ChatGPT Work to cut launch-production hours by 68%, showing how agents can absorb execution work when deadlines and design capacity collide.
Stampli used **Codex and ChatGPT Work** to produce launch materials under a fixed deadline, cutting launch-production hours by **68%** and compressing **weeks into days**.
For agent-assisted launches, define the deadline and production scope clearly, then direct agents toward the work that constrained teammates cannot cover.
Stampli used **Codex and ChatGPT Work** to produce launch materials under a fixed deadline, cutting launch-production hours by **68%** and compressing **weeks into days**. For agent-assisted launches, define the deadline and production scope clearly, then direct agents toward the work that constrained teammates cannot cover. The material does not describe the workflow, output quality, review burden, or which tasks produced the measured reduction.
This extends measured agent-assisted time compression beyond engineering maintenance and incident response into deadline-bound launch production. It supports using agents as targeted capacity relief when scope and deadlines are fixed, but the missing task breakdown, quality evidence, and review burden make the 68% reduction a company case rather than a transferable productivity benchmark.