How Every's Team Used AI to Ship Its Biggest Launch Ever
Plus: OpenAI’s Codex playbook, a trick to cut Fable’s token spend, and the models the team is using this week
Every’s team shares how AI tools like Claude and Codex accelerated their product development, leading to a significant revenue gain. They detail practical applications, from automating A/B testing to generating marketing copy, emphasizing the importance of upfront strategic thinking and delegation to AI agents. The article also provides a playbook from OpenAI on how to effectively use Codex for task automation and efficiency.
- AI redistributes work to more complex problems, freeing up engineers for ideation and strategy.
- AI speeds up the process from idea to execution by delegating tasks to AI agents, with human oversight for framing problems and reviewing output.
- Working with AI agents is compared to conducting an orchestra, requiring strategic upfront thinking to codify processes.
- New builders are advised to start by building a simpler version of a product they already use and love.
- OpenAI offers a practical playbook for using Codex, involving selecting a recurring task, providing necessary files and rules, supervising the initial run, and saving reliable procedures as reusable skills.
- Marcus Moretti shares a strategy for Fable to delegate tasks to cheaper models, with a specific prompt to prevent excessive token usage.
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