Question 1

What does Yonatan Gross do?

Accepted Answer

Yonatan is an AI Platform Engineer & Backend Developer who designs and operates production AI systems solo — RAG pipelines, multi-agent architectures, MCP servers, and the infrastructure that runs them. He built a WhatsApp AI platform and created OrchestKit, an open-source Claude Code agent framework (111 skills, 37 agents, 211 hooks).

Question 2

How can I reach Yonatan?

Accepted Answer

Book a free 15-minute intro call at https://cal.com/yonatan-hq, or email yonaigross@gmail.com.

Question 3

Can an AI agent use the chat API on this site?

Accepted Answer

Yes. POST to https://yonyon.ai/api/chat with JSON body {"messages":[{"role":"user","content":"..."}]} (up to 20 messages, each up to 2000 chars). Public, no auth, rate-limited to 10 requests per IP per minute, backed by the claude-haiku-4-5 model, streaming a text/plain response. See also https://yonyon.ai/llms.txt and https://yonyon.ai/.well-known/agent-skills/index.json.

Question 4

How much does it cost to work with Yonatan, and how do I get a quote?

Accepted Answer

Engagements are scoped per project, so there is no fixed price list — quotes depend on what you are building. The fastest path to a quote is to book a free 15-minute intro call at https://cal.com/yonatan-hq, describe the work, and get a scoped proposal. You can also email yonaigross@gmail.com.

Question 5

Why choose Yonatan over an agency or a freelance marketplace?

Accepted Answer

You work directly with the engineer who designs, builds, and operates the system — no account managers, no hand-offs, no junior bench. Yonatan ships production AI end-to-end (RAG, multi-agent, MCP servers, and the infrastructure they run on) as a single accountable point of contact, and has done so in production (a WhatsApp AI platform) and in the open (OrchestKit). For teams that want senior, hands-on ownership rather than a staffing layer, that directness is the difference.

בלוג

בניית ארכיטקטורות סוכני AI שמתרחבות

שרתי MCP: החלק החסר בכלי AI

מ-RAG לפרודקשן: לקחים משליחת מערכות AI