Rethinking Agents: Special Edition — What Happens When AI Starts Building With You?
Featuring speakers from LinkedIn and BGV
Co-host by Stanford Entrepreneurs, LOOMUS.AI, Stanford ACSSS, and Brilliance Education
Event Venue
Stanford University Campus
Stanford, CA
Exact venue will be announced after campus approval.
About Event
Rethinking Agents in the Age of AI — The Next Decade of Work Starts Here
Episode 02 of “Rethinking the World in the Age of AI” — a six-part series
Every era has one question it can’t stop asking.
Ours is this:
What happens when intelligence stops being scarce?
Across six sessions, this series follows that question wherever it leads — from the search box to AI agents that work alongside us, from the infrastructure powering intelligence to robots entering the physical world, from AI accelerating scientific discovery to the question that ultimately belongs to everyone:
What should we build?
Six episodes. One story:
01 · Rethinking Search — The Next Decade of Search Starts Here
02 · Rethinking Agents — The Next Decade of Work Starts Here
↳ Special Edition 01 — What Happens When AI Starts Building With You?
↳ Special Edition 02 — What Happens When AI Can Act, Not Just Answer?
03 · Rethinking Infrastructure — The Next Decade of Compute Starts Here
04 · Rethinking the Physical World — The Next Decade of Robotics Starts Here
05 · Rethinking Science — The Next Decade of Discovery Starts Here
06 · Rethinking What We Build — The Next Decade of Building Starts Here
Episode 01 asked how AI is changing the way we discover information.
Episode 02 asks what happens when AI starts doing the work.
Our first Special Edition asked what happens when AI doesn’t just assist you — but starts building with you.
Now, this Special Edition asks what happens when AI can do something even more consequential: act.
Not just generate an answer.
Not just suggest the next step.
But reason about a goal, use tools, navigate systems, make decisions, and take actions on our behalf.
Episode 02 · Special Edition
Featured Speakers
Joey Primiani — LinkedIn · AI Product Design Leader
Senior Product Designer at LinkedIn, focused on building human-centered AI product experiences
15+ years building 0→1 and scaled products across LinkedIn, Google X / Wing, Intuit, and startups
Works at the intersection of product design, AI, rapid prototyping, and new human–AI interaction models
Author of Think. Prompt. Create. — A New Way to Build Software, a practical guide to turning ideas into real products with AI
Builds AI-native experiments and prototypes, including Operator, an AI agent designed to complete real-world tasks such as booking appointments, restaurants, and services
Explores how AI changes the role of the builder — compressing the distance between an idea, a prototype, and a working product
The question behind his work: when AI can increasingly take action, how do we design the right interface between human intent and machine execution?
Ekaterina (Katya) Evchenko — Principal, BGV
Principal at BGV, a global early-stage venture capital firm focused on Enterprise AI
Leads deal sourcing, due diligence, investment thinking, and portfolio support across AI-native enterprise software
Stanford Graduate School of Business alum; previously worked across technology strategy, consulting, and analytics
Focuses on companies where AI is not simply added to existing software, but changes how the underlying workflow itself gets done
Her investment work spans areas including enterprise AI, healthcare technology, intelligent workflows, and emerging AI-native platforms
She has also written and spoken about Physical AI — the convergence of AI, robotics, automation, and autonomous systems capable of perceiving and acting in the physical world
The question behind her work: which businesses become possible when intelligent systems move from generating information to actually executing work?
Rui Huang — Education Entrepreneur & AI Innovation Advocate
Education entrepreneur focused on AI-powered learning and personalized education
Stanford Graduate School of Education alum with a background in educational innovation and student development
Explores how AI can support passion-driven learning, student engagement, and human-centered education
Her work bridges AI, education, and personalized learning, with an emphasis on helping students discover their potential
The question behind her work: how can AI transform education to make learning more personalized, meaningful, and human-centered?
From Software That Answers to Agents That Act
For decades, software has waited for humans to tell it what to do.
Open the app.
Click the button.
Write the prompt.
Execute the task.
Generative AI changed the interface.
You could ask a question and get an answer.
But AI agents are beginning to change something deeper.
They are changing who — or what — takes the next action.
Instead of simply responding to instructions, increasingly capable AI systems can reason, plan, use tools, maintain context, coordinate across systems, and take actions toward a goal.
We are beginning to move from:
Answers → Actions
Tools → Collaborators
Tasks → Outcomes
Software → Autonomous Systems
And that shift could reshape much more than productivity.
It could change how companies are built, how teams operate, how software is designed, how organizations allocate work, and ultimately what it means to work alongside machines.
We are moving from an era where humans operate software to one where humans increasingly delegate to intelligence.
Join us at Stanford for this Special Edition of Episode 02: Rethinking Agents from Rethinking the World in the Age of AI, as we bring together builders, investors, founders, researchers, and operators to explore what happens when AI moves beyond answering questions and begins taking meaningful action in the world.
From AI-native product design and agentic workflows to the companies and interfaces emerging around autonomous systems, this session asks what changes when intelligence becomes not only available — but actionable.
AI Agents Are Still Early
Many systems remain unreliable.
Long-running tasks remain difficult.
Memory is imperfect.
Agents still struggle with ambiguity, edge cases, and environments they have never seen before.
Permissions, security, evaluation, accountability, and alignment remain open problems.
And the more agents can do, the more consequential those problems become.
But the direction is becoming increasingly clear:
AI is moving from answering questions to taking actions.
That transition could become one of the defining platform shifts of the next decade.
For builders, it raises a new question:
How do you design a product when the user is no longer responsible for every individual action?
For founders:
What businesses become possible when intelligence itself becomes a programmable resource?
For companies:
What does an organization look like when every employee can delegate work to AI agents?
For investors:
Where does durable value accrue when agents can increasingly execute workflows that once required entire layers of software and human coordination?
For researchers and product teams:
How do we build autonomous systems that remain reliable, controllable, secure, understandable, and aligned with human intent?
And for all of us:
What becomes uniquely human when machines can increasingly reason, coordinate, decide, and act?
Whether you’re building AI products, investing in frontier technologies, conducting research, operating a company, or simply curious about where AI is headed, this forum is an opportunity to hear from and connect with people thinking seriously about what comes next.
The next decade of work may not be defined by humans versus AI.
It may be defined by what we choose to delegate — and what we choose to keep human.
This Is Episode 02 — Special Edition
The story started with search.
Then intelligence began helping us create.
Now intelligence leaves the search box — and starts taking action.
Our previous Special Edition explored what happens when AI starts building alongside us.
This edition takes the next step:
What happens when AI can act, not just answer?
When AI can browse, call tools, manipulate software, coordinate workflows, write and execute code, interact with other agents, and pursue outcomes rather than simply return information, the relationship between humans and computers begins to change.
The interface is no longer just a prompt.
The product is no longer just a tool.
And the human is no longer necessarily the person executing every step.
This Special Edition goes deeper into that transition — looking at what happens when AI agents move from assisting with individual tasks toward becoming systems we can increasingly delegate real work to.
From here, we’ll follow the story deeper into the infrastructure powering these systems, into the physical world, into scientific discovery, and ultimately into the question of what we choose to build.
This is only the beginning.
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sophie-r-60981b9b
Rethinking Agents: Special Edition
Stanford
The Next Decade of Work Starts Here - About the Organizer
THE STORY BEHIND THESE SESSIONS
I'm Sophie Ren. I build thousands of AI agents and I love watching them. Six times a year I put a few thousand people in a room together - in Silicon Valley, in Paris, in Milan, and next May at an AI × Art festival in Sicily.
I do both for the same reason. The models have already read everything we've written down. That's the floor now, not the ceiling. What I want is what isn't in there yet - the thing nobody has tried, or has tried and never said out loud. That kind of knowledge can't be collected. It gets made, and it gets made between people, in real time, in a room. That's the part I find thrilling, and I think it's where the real value has moved.
Monet painted the same pond for thirty years. At some point it stopped being a pond and became something that had never existed — not a better painting, a new object in the world. That moment and the moment a room finally cracks a problem are the same moment: the tree of human knowledge grows a branch.
Everything a model knows came from a branch that grew before it. I don't want to watch the next one grow. I want to grow it, and I want to find the people who want to grow one too.
Bring what you're stuck on.
— Sophie