Zero-Shot Learning is a podcast for AI builders, hosted by Nancy Wang, CTO at 1Password, and Dev Tagare, Senior Director and Head of Engineering for Gemini Enterprise & Business at Google. Each episode invites developers from industry-leading AI platforms to break down how AI systems are built and deployed.
AI enters the world with Inhi Cho Suh from Niantic Spatial | Zero-Shot Learning
Despite the wealth of information LLMs draw on, they are not reliably grounded in the physical world. Spatial knowledge is rarely written into agentic development and remains invisible to LLMs. This episode’s guests, Niantic Spatial’s CEO Inhi Cho Suh and Director of Product Management Eugene Chong, are building a grounding layer to fill that gap. Inhi and Eugene join 1Password CTO Nancy Wang and Google Gemini’s Dev Tagare to discuss why spatial understanding is a prerequisite for AI systems operating in the physical world and the grounding layer for world models to make spatial data precise and useful to AI.
In this episode:
Without an accurate grounding layer, world models are guessing at a world they don’t actually know
Spatial data prevents AI hallucinations by providing “ground truth” instead of predictions of what comes next
Precision enables AI behaviors that weren’t previously possible, like choosing safe delivery drop-off locations
Flipping the sim-to-real process leads to faster and more precise deployment at scale
Zero-Shot Learning is a builder-to-builder podcast about how AI systems are designed, deployed, and secured. Subscribe for more.
Go deeper:
Episode companion blog: https://www.1password.com/blog/physical-ai-authority-model
1Password Developer newsletter: https://1password.com/developer-newsletter
Inhi’s LinkedIn: https://www.linkedin.com/in/inhichosuh/
Eugene’s LinkedIn: https://www.linkedin.com/in/e-chong/
Connect with 1Password
1Password.com
1Password Developer newsletter: https://1password.com/developer-newsletter
Build securely with 1Password Developer: https://developer.1password.com/
22 Sept 2026
Build from source with Matt Moore from Chainguard | Zero-Shot Learning
In 2020, the SolarWinds attack exposed the vulnerability of supply chains worldwide, a problem this episode’s guest, Matt Moore, had already been working to solve for years. In 2021, he co-founded Chainguard to protect supply chains from future breaches. His conversation with 1Password CTO Nancy Wang and Google Gemini’s Dev Tagare covers why the open source trust model is structurally broken and how AI agents have complicated supply chain security, with a live demo demonstrating how standard tools overlook many vulnerabilities.
In this episode:
AI is shrinking the window for patching, as AI-powered attacks accelerate and demand for pre-alpha code grows
Hacks usually target the delivery pipeline rather than the source code
Net-new, AI agent-written code creates more burden for teams to maintain and secure
Most breaches exploit long-lived credentials
Audited least privilege flips the security model from restricting identities to guarding sensitive resources
Zero-Shot Learning is a builder-to-builder podcast about how AI systems are designed, deployed, and secured. Subscribe for more.
Go deeper:
Episode companion blog: https://www.1password.com/blog/software-supply-chain-identity-security
1Password Developer newsletter: https://1password.com/developer-newsletter
LinkedIn: https://www.linkedin.com/in/mattmoor/
Connect with 1Password
1Password.com
1Password Developer newsletter: https://1password.com/developer-newsletter
Build securely with 1Password Developer: https://developer.1password.com/
25 Aug 2026
Code is the easy part with Rohan Varma from OpenAI | Zero-Shot Learning
As a product leader who went from working on Cursor to OpenAI’s Codex, Rohan Varma got a personal preview of a shift most developers are just beginning to catch up to. His conversation with 1Password CTO Nancy Wang upends the idea that AI helps developers write code faster, reimagines code reviews, and explores how developer skills expand once agents take over implementation.
In this episode:
While AI has expedited coding, it has also exposed bottlenecks further in the SDLC
When everyone is vibe coding, rigor becomes the differentiator
Once agents own implementation, engineers can focus on product thinking and systems design
Agent reviews should compare prompts and intent to output, not diffs
Agent-to-agent interactions remove the need for developers to personally move information around
Zero-Shot Learning is a builder-to-builder podcast about how AI systems are designed, deployed, and secured. Subscribe for more.
13 Aug 2026
The work runs itself with Jeff Wang from Cognition | Zero-Shot Learning
While AI agents are already capable of writing and shipping code that works, standard operating procedure still requires human oversight and review. Cognition President of New Enterprise Jeff Wang is building a future where that’s no longer the case. In this episode, Jeff joins 1Password CTO Nancy Wang and special guest co-host Richard Liu, Head of API Products at Anthropic, for a conversation on cloud-based agents and how their ability to prove their own work could make human code reviews obsolete.
In this episode:
Agents need a method to prove that their work is correct
Event-driven agents are absorbing the grunt work nobody wants
Playbooks are the most overlooked and underinvested piece of knowledge infrastructure
Agents should run in isolated sandboxes with only the specific access they need
Code reviews will eventually be replaced by proof that the code does what it’s supposed to
Zero-Shot Learning is a builder-to-builder podcast about how AI systems are designed, deployed, and secured. Subscribe for more.
Go deeper:
Episode companion blog: https://www.1password.com/blog/demoting-the-ide
1Password Developer newsletter: https://1password.com/developer-newsletter
LinkedIn: https://www.linkedin.com/in/jefflinwang/
Connect with 1Password
1Password.com
1Password Developer newsletter: https://1password.com/developer-newsletter
Build securely with 1Password Developer: https://developer.1password.com/
28 Jul 2026
Distributed systems in disguise with Maxim Fateev from Temporal | Zero-Shot Learning
When most developers write code, crash recovery logic is at the bottom of their priorities, until crashes and delays force them to incorporate resiliency logic. That’s why Temporal co-founder and CTO Maxim Fateev built a system to turn code into durable execution. In his conversation with 1Password CTO Nancy Wang and VP of Engineering for Developer and AI Jeff Malnick, Maxim explains why the distributed systems thinking that shaped his work is now essential for building reliable AI agents, with a live demo of a durable agent surviving a crash.
In this episode:
Events are the global variables of distributed systems
Durable execution removes the need for specific languages to run workflows
While agent skills are unreliable, hooks are a hard boundary
Once agents need retries, they inherit the complexity of large-scale distributed systems
Sandboxing agents is the only way to contain what they can access
Zero-Shot Learning is a builder-to-builder podcast about how AI systems are designed, deployed, and secured. Subscribe for more.
Go deeper:
Episode companion blog: https://www.1password.com/blog/build-reliable-agents
1Password Developer newsletter: https://1password.com/developer-newsletter
Maxim:
LinkedIn: https://www.linkedin.com/in/fateev/
Connect with 1Password
1Password.com
1Password Developer newsletter: https://1password.com/developer-newsletter
Build securely with 1Password Developer: https://developer.1password.com/
14 Jul 2026
Evals are agent infrastructure | Adarsh Hiremath from Mercor
As the co-founder and co-CEO of Mercor, Adarsh Hiremath has built his career around helping enterprises deploy agents, and crucially, ensuring that those agents act as intended. In his conversation with 1Password CTO Nancy Wang and Google Gemini’s Dev Tagare, Adarsh explains why evals are key to successful agent deployments, what most teams get wrong in the production rollout process, and why agents fail without company-specific context.
In this episode:
Correct outputs don’t prove an AI agent’s reasoning is sound
Evals are a core infrastructure investment and must be continuous
Agent failures in background systems are the hardest to catch and fix
Agents need company-specific knowledge to overcome the onboarding gap
AI will shift from being measured in tokens to being measured by outcomes
30 Jun 2026
Stop guessing if your AI works | Ankur Goyal from Braintrust
Your code review covers code. It doesn't cover prompts.
Before founding Braintrust, Ankur Goyal began as a builder, developing distributed systems and applied AI and machine learning products. Like many developers, he faced a persistent problem: How do you know if what you’re shipping will actually work in production? In this episode, Ankur talks to 1Password CTO Nancy Wang and Google Gemini’s Dev Tagare about why AI development needs feedback loops and how evals help teams move faster.
16 Jun 2026
The new attack surface writes code | Travis McPeak from Cursor
For Travis McPeak, chaos has always been part of the job of securing companies like Netflix, Databricks, and IBM. Now, as Cursor's Head of Security, he's tackling the industry-wide problem of securing AI-powered software development. In conversation with 1Password CTO Nancy Wang and Google's Dev Tagare, Travis rejects the idea that security is a blocker and challenges the assumption that agents can be trusted users.
2 Jun 2026
We solved the blank canvas problem | Tom Occhino from Vercel
The prototype is the new PRD.
In 2013, Facebook’s development of React changed the way software engineers build and write code. Today, LLMs are transforming that process again. This episode features Tom Occhino, React co-creator and current CPO at Vercel, whose work sits at the center of both shifts. In conversation with 1Password CTO Nancy Wang and Google’s Dev Tagare, Tom explores the platform changes driven by AI-written code, builds a full-stack app in real time, and sets up a deeper discussion on the security risks of agents building software.
19 May 2026
Agents need boundaries | Fotis Chantzis from OpenAI
Agents don't fit old identity models.
As OpenAI’s Agent Security Lead, Fotis Chantzis has a front-row seat to see how agents push identity systems beyond what they were built to control.
That’s where things start to fall apart and where most teams lose control.
In this episode, 1Password CTO Nancy Wang and 1Password VP of Engineering for Developer and AI, Jeff Malnick, ask Fotis where authentication starts to strain under the actions of agent identities, why secrets handling can get risky fast, and how teams should think about dynamic access controls.
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2 ratings
Spotify
5.0 / 5
4 ratings
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