What if you could build a fully functional, voice-native AI assistant that controls your desktop—without actually knowing how to code? Today, we’re tearing down the exact three-prompt Cursor workflow used to build a custom "Jarvis" application from scratch.

We are moving past the era of chat boxes. We’re talking about an Electron-based desktop agent running GPT Realtime 2 that can search the web, generate Mermaid diagrams, and take over your mouse to execute tasks—all through natural, interruptible voice commands.

In this episode, we break down the exact tech stack required and the prompt strategy to get Cursor’s AI to do the heavy lifting. We also dive into the realities of "Computer Use" mode, specifically how to bypass the frustrating permission loops that cripple most agents, allowing for true, frictionless automation.

We’ll talk about:

The 3-Prompt Architecture: How to use Cursor and GPT-5.5 to spin up an Electron app, connect APIs, and build a UI in under 15 minutes.
Mastering GPT Realtime 2: Building a voice agent that actually feels human—complete with interruption support, animated reactions, and zero latency.
Solving the "Approval Loop": How to modify Computer Use mode so your agent can execute tasks (like opening apps and typing) without asking for permission every three seconds.
The Voice-Controlled Workspace: Turning your agent into a creative powerhouse with a numbered, voice-navigable image generation grid.
The Vibe Coding Reality: Why building custom, high-end tools is no longer about syntax, but about system design and prompt structure.

Keywords: Cursor IDE, GPT Realtime 2, Electron App, Vibe Coding, AI Agents, Computer Use Mode, AI Desktop Assistant, No Code AI, OpenAI API, Exa API, Mermaid Diagrams, Voice AI.

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#64 Robin: Building a "SaaS-Noir" Jarvis in Cursor - How to Code a Voice-Native Desktop Agent Without Writing Code

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#64 Robin: Building a "SaaS-Noir" Jarvis in Cursor - How to Code a Voice-Native Desktop Agent Without Writing Code