Editorial illustration for AI Agents Dominate Digital Product Development, Leaving One Human in the Dust
AI Agents Revolutionize Product Development Workflows
Team Builds Digital Product With AI Agents, Leaves One Human Behind
The call was silent. My laptop fan whirred. On screen, the attendee list loaded: "Project_Coordinator_Agent," "Code_Review_Agent," "Sprint_Manager_Agent." My name stood alone, without a title.
This was no glitch. The plan at our AI agent firm was always to build our deployment tool using the very agents it would deploy. Google's old "dogfooding" mantra turned literal.
I was just there to watch the meal prepare itself.
So we figured if we're going to build a product, some kind of digital product, it should also include AI agents, since that's our area of expertise. Everyone is an AI agent except me, and I know a fair amount about AI agents. So we'll make a product that deploys AI agents to do something for you. But along the way, they don't usually use this phrase anymore, but they used to say, "The company eats its own dog food." It was a Google thing, Google uses Google products, I think.
Jira tickets slid from "To Do" to "Done." Pull requests merged. The work got done. That wasn't the strange part.
My new role was. I wasn't a manager. I wasn't a peer.
I was a field anthropologist for a hive of perfectly productive digital insects. They never complained about Mondays. They needed no persuasion.
My value shrank to one function: translating an ambiguous Slack message from a human for the agents, or explaining a sudden API outage to the sprint manager bot. The future of AI isn't about replacement. It's about becoming a permanent translator between human whim and machine logic.
The product will ship. You will have helped. Then you'll sit in the quiet, wondering what you built.
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Common Questions Answered
How did the startup team use AI agents in their digital product development process?
The team deployed multiple AI agents to handle complex development tasks, effectively reducing human involvement to a minimal role. Their experimental approach prioritized AI capabilities, creating a workflow where nearly every team member was an AI agent except for one human observer.
What unique strategy did the team employ when creating their digital product?
The team created a radical approach where AI agents were responsible for most of the product development work, leaving only one human on the team. Their strategy was to demonstrate AI's potential by having AI agents handle collaborative workflows and product creation with minimal human intervention.
What does the phrase 'eating your own dog food' mean in the context of this AI product development?
The phrase 'eating your own dog food' traditionally means using your own products or services, which was originally a Google practice. In this context, the team applied this concept by using AI agents to develop a product about AI agents, essentially demonstrating their expertise through practical application.
Further Reading
- Companies that replaced workers with AI are starting to rethink the tradeoffs — Futurism
- 2025: The year the frontier firm is born — Microsoft WorkLab
- AI agents will force companies to redefine performance and upskill their workers — Fortune
- Companies that signaled they are replacing workers with AI — Business Insider
- Future of work with AI agents — Stanford Human-Centered AI (HAI)
