How Grok Bot designers use AI agents to build personal sites and product prototypes

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John Bai and Peng Zheng are designers on the Grok Bot team at SpaceXAI. In this episode, Peng shows how he built a self-updating personal site with Grok Bot handling the entire backend, from looking up a location to generating custom 3D artwork and publishing each new check-in. John demonstrates how he uses voice memos, Grok Bot, and Figma MCP to complete design work from the gym and turn shower thoughts into working prototypes. They offer a fascinating look at how AI is eliminating the tedious parts of design and making it faster and easier to explore new ideas.

Biggest takeaways:

1. The best personal website is one that keeps updating itself. Peng did not want to build another portfolio that launches, gets a few seconds of attention, and immediately becomes outdated. Instead, he created a Grok Bot workflow that turns a photo or place name into a published check-in. The bot finds the coordinates through Google Places, generates light and dark 3D miniature versions of the image, and adds everything to the site. Peng sends a single message, then walks away.

2. People no longer need to know exactly what they are building before they begin. Peng started without a Figma file, a specification, or a roadmap. He described the initial idea to Grok Bot, built something, reacted to it, and followed the most interesting possibilities. The final check-in workflow was not planned up front. It emerged through a series of “What if it could also do this?” moments. Because the bot handled the architecture, Peng could explore the idea without defining the entire system first.

3. The best AI workflows help people leave their computers. John’s Figma Bro workflow is a perfect example. When a colleague requested community assets while John was at the gym, he took two screenshots in Figma, recorded a voice memo explaining what he needed, and went back to his workout. By the time he checked again, the bot had produced three options, adjusted their sizing and colors, and completed the task.

4. Voice memos are becoming a powerful design interface. John gives Figma Bro natural-language instructions by voice, and the bot translates them into actions inside Figma through an MCP connection. He can describe an idea casually, even somewhat messily, and let the system interpret and execute it. The key is configuring the bot’s preferences ahead of time, including artboard structure, spacing, and naming conventions. That foundation allows informal instructions to produce organized files.

5. AI is making previously inaccessible creative skills available to more people. Claire could not illustrate. John wanted to create motion he could only describe with his hands. Peng wanted to produce 3D renders. In the past, each of those gaps would have required a specialist or years of practice. Now they can begin with a prompt. As Peng points out, the cost of making things has fallen so dramatically that unusual combinations and experiments are finally worth trying.

6. The most useful bots have narrow, clearly defined responsibilities. Peng organizes his agents into life and work categories, with separate bots for email triage, calendar management, 3D-printing inventory, green-card status tracking, and other specific jobs. A chief-of-staff bot handles anything that does not have an obvious owner. Each agent knows its lane, which makes delegation feel like handing work to a capable specialist instead of transferring confusion to a general-purpose chatbot.

If you’re enjoying these episodes, reply and let me know what you’d love to learn more about: AI workflows, hiring, growth, product strategy—anything.

Catch you next week,
Lenny

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