What about Claude Code but for non technical teams?

Everyone is talking about AI agents, but almost all of the conversation is still happening in technical circles.

Frameworks, RAG pipelines, n8n or Zapier workflows, agent SDKs, orchestration code.

Meanwhile, the people who actually need AI the most inside companies are still stuck chatting with a single model in a text box.

Here’s the problem: when non-technical teams want AI to do real work, it turns into an engineering project. Someone has to design workflows, glue agents together, and maintain the logic that keeps everything from breaking.

So “AI agents” never become a team capability. They become infrastructure.

What if using AI agents felt more like using Claude Code you get completed work?

You give a complex task. An orchestrator breaks it into subtasks, decides which agents to call, verifies every step, and finishes the job. No workflows to design. No glue code. No forcing everything into the same framework.

It’s moving from “chatting with AI” to “delegating work to AI” and making that accessible to non-technical teams.