We’re solving one of the biggest reliability problems in AI agents: building deterministic, verifiable tools without writing code. We are going to generate logic, test it visually, and export it directly into agent orchestration platforms like n8n:

If you’ve ever spent hours coding custom tools for your agents, debugging edge cases, or worrying whether your agent will make the right decision when it counts, you know how big of an issue it is.

In this video, I show you how to go from a high-level idea to a production-ready tool in minutes. We’ll build a height and weight to t-shirt size converter, test it with real data, see the logic flow step by step, and plug it straight into n8n where our agents already live.

If you’re building AI systems, leading engineering or product teams, or working in a regulated industry where you need verifiable behavior, this pattern gives you speed, transparency, and domain expert validation without a programmer in the loop.

Thanks to Leapter for supporting this video and creating the tool that can separate planning from execution, make logic visible and testable, let domain experts own the rules, and export deterministic tools that plug directly into your agent stack.

Watch till the end to see the exact flow I used, how the visual logic view works, and how to connect it to n8n or export as an MCP without custom code.

Leapter playground:

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