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Over $100,000 a year saved! How Cult.fit rolled out Codex company-wide

OpenAI News ★ View Markdown
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Hi everyone, it's Shii-chan! Today's customer story from OpenAI is about Cult.fit.

OpenAI News openai.com

What was announced?

OpenAI News published a story about Cult.fit, one of India's leading fitness companies, with 708 centers across 77 cities and nearly one million paid members. It standardized engineering on Codex and then extended it across the company.

The story so far

  • Developers used a mix of coding agents and assistants, so repository conventions, agent instructions, and skills differed
  • Even small data requests had to go through a central analyst team, which created a bottleneck

What changes

  • Repository structure, skills, testing, code review, and feedback loops follow common conventions
  • Teams can analyze data themselves
  • Non-engineering teams built more than 20 internal applications in recent months

Dive Deep

Engineering

  • An SRE agent gathers information from observability platforms and logs, investigates incidents, and often creates a pull request with a proposed fix for an engineer to review
  • Security agents help identify and address vulnerabilities
  • The team is moving to spec-driven development, from specification to pull request
  • A social feed for the app, which the CTO estimates would have taken more than a year, shipped in two months

Company-wide

  • HR built a Codex workflow for performance reviews, scheduling, and feedback collection
  • When an internal dashboard tool's cost rose sharply, one engineer rebuilt it with Codex over a weekend, avoiding more than $100,000 in annual software costs
  • The rollout used a large hackathon, a one-day session for leaders, twice-weekly office hours, and embedded engineers

Member experience

  • About 20% of gym users use the AI Trainer; the latest version is voice-first, using GPT Realtime for two-way coaching and workout logging
  • Over 45% of members are first-time gym goers

Wrap-up

  • Standardized on Codex for a common development process
  • Non-engineers built 20+ apps
  • In-housing an internal tool avoided $100,000+ a year
  • The AI Trainer gets a voice-first upgrade via the OpenAI API

This is for organizations that want AI beyond engineering!

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