Blake Anderson open-sources ai-app-playbook for coding agents building paid AI apps
Overview
Blake Anderson has open-sourced ai-app-playbook, a guide that coding agents follow to pick a niche, build, launch, and reach first-month profit for consumer AI apps.
The playbook fixes the stack on Cloudflare services and lists tools to avoid, including Vercel and Firebase. Before building, it requires a 35-point scoring gate.
The playbook's baseline assumes an app priced at about $30 per year with a trial, which the source puts at roughly $2.70 revenue per download. Meng Shao, who shared the project on X, describes it as an operating procedure divided between human and agent work.
Written by AI from the articles below · updated Oct 27, 9:20 PM ET
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meng shao@shao__mengXOpen-source playbook guides coding agents to build and monetize consumer AI appsAIBlake Anderson open-sourced ai-app-playbook, a guide that coding agents follow to pick a niche, build, launch, and reach first-month profit. It fixes the stack on Cloudflare services, lists tools to avoid such as Vercel and Firebase, and uses a 35-point scoring gate before building. The playbook's baseline assumes about $30 per year with a trial, roughly $2.70 revenue per download.

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