If you are building with AI agents, you have probably hit this wall: your agent needs tools but finding them means digging through GitHub repos and random blog posts. There is no npm for AI agent tools.
That is the problem I set out to solve with TutuoAI, a marketplace for AI agent tools. We now catalog 116 products (38 paid, 78 free), and the entire thing runs on a static site architecture that costs almost nothing to operate.
The Discovery Problem
AI agents are only as good as the tools they can access. Tool discovery is a mess:
- For developers: You Google AI tools, get 50 listicles, spend hours evaluating
- For agents: No machine-readable catalog exists
- For tool builders: Hard to get discovered
The Architecture: Why Static Wins
S3 + CloudFront serves pre-rendered HTML pages. Stripe Checkout handles payments with no backend. No servers, no databases, no containers.
Cost: essentially free. Speed: ~50ms globally. Reliability: 99.999999999% durability.
Making It Machine-Readable: llms.txt and JSON-LD
I implemented llms.txt so any AI agent can programmatically discover what tools are available. Every product page also includes Schema.org JSON-LD for structured data.
Lessons Learned
What worked: Static architecture kept costs at zero. llms.txt generated interest from AI developers. Stripe Checkout eliminated weeks of backend work.
What did not work yet: Zero-traffic chicken-and-egg problem. SEO takes months. llms.txt adoption is still early.
Check It Out
If you are building AI agent tools or want to discover what exists, check out tutuoai.com.
Drop a comment if you have questions about the architecture!
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