Beyond Scripted Responses: How AI Agents Can Become True Collaborative Partners
By: Tony McGovern
April 2, 2025•2 min read
A prioritization matrix focuses resources on the most impactful and feasible projects, helping you achieve those "moonshot" goals.
Photo by: Neisen Norman Group
For the past few weeks, I've been diving into AI agents at emdata, a new direction we're taking. I'm trying to figure out how these AI agents can better "collaborate", so our U.S. federal government clients can get more tailored recommendations and make better decisions on how they spend acquisition dollars.
And it got me thinking about my 10-year-old playing House Flipper on Nintendo Switch. In the game, she purchases dilapidated houses and renovates them for virtual "clients" based on their specific design preferences. As its name suggests, her job is to "flip" these properties, transforming them to match each client's renovation list. She absolutely loves it.
I'm not sure how you "win" at the game, other than making money by flipping houses that follow preset design rules. The game imposes fairly rigid design constraints; she can't convince clients to try different styles, suggest creative alternatives, or get them excited about her bold design ideas. Since the client preferences are pre-programmed, there's only so much creative vision she can exercise.
I'm willing to bet she'd have a lot more fun if these virtual clients weren't just following scripts but were intelligent AI "buyers" who could actually collaborate with her ideas. Though it doesn't seem to bother her, it really bothers me.
It bothers me that there's no "dream big" option where she could really let her creativity run wild. Imagine a conversant AI that evolves beyond the limits of a chatbot into a human-like entity with agency. An autonomous AI agent could offer a more dynamic, personalized, and collaborative experience—one that could help realize big, moonshot design ideas.
That's what's inspiring our work with the Digital Insights Journal; we're trying to enable acquisition experts at federal agencies to work with AI agents and together discover patterns within their spending data to help make smarter and more efficient acquisition decisions. This blend of human creativity with AI capabilities is precisely the future we're trying to build with our solutions.
DISCOVER MORE
Before you go, check out the NVIDIA AI Podcast featuring Chris Covert from Inworld AI. He explores how their platform enables human-AI collaboration across industries from healthcare to gaming—pursuing exactly the kind of moonshot ideas I've described here.
AI Agents Take Digital Experiences to the Next Level in Gaming and Beyond, Featuring Chris Covert from Inworld AI - Ep. 243 - NVIDIA AI Podcast | Spotify
AI Agents Take Digital Experiences to the Next Level in Gaming and Beyond, Featuring Chris Covert from Inworld AI - Ep. 243
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Jan 29· NVIDIA AI Podcast
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Chris Covert (Inworld AI) on the NVIDIA AI Podcast discussing human-AI collaboration across industries—similar to the moonshot ideas explored here.
Tony McGovern
Tony McGovern is Founder and Data Scientist at emdata.ai.
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