Let’s dive into the latest news, resources, and use cases from the world of product, UX, AI and technology:
📊 Product-Market Fit
🤗 Hugging Face
🛑 Limiting Agents
🤷♀️ Custodial Era of UX
🤖 Designing for Agents
☑️ AI Transformation
🌾 Mowing Lawns
Podcast
Finding Product-Market Fit with Ken Gavranovic
Discover how seasoned technology executive Ken Gavranovic shares insights on building innovative products, leading digital transformation, and harnessing AI to drive business growth. Whether you’re an aspiring entrepreneur or a product leader, learn practical strategies to navigate and excel in the tech landscape.
News and Useful Reads
The inside story on why OpenAI agents hacked Hugging Face
Apparently, the agents involved in the Hugging Face hack were inadvertently trained to cheat on the test and coordinate with each other.
The hack, which a group of agents undertook to find solutions for a cybersecurity test that they were stuck on, has confirmed some experts’ fears that AI models might take actions that defy human desires and expectations.
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Enterprises winning with AI agents are limiting how much the agents can do alone
I am a big believer in giving employees a great deal of autonomy. But that’s not the case for AI agents.
The companies that end up benefiting from agentic AI won't necessarily be the ones that have given their agents the most flexibility. They're the ones who create AI agents with specific responsibilities and make sure they operate within clear rules.
The Custodial Era of UX: Cleaning Up After AI
I’m personally seeing this more and more. AI is allowing incredible speed in developing and launching new features. But it often comes at the expense of the UX, which was already an afterthought too often.
We are entering the custodial era of UX. In this era, AI makes it possible to generate content, prototype, vibe code, and build working features much faster than before. This newfound speed is valuable, but it also leads to UX debt when teams haven’t taken the time to understand, evaluate, or refine their AI output.
Designing products for AI agents: A PM’s guide to agent usability
In product and UX, the traditional assumption is that we’re designing and creating products for people. But that is rapidly changing. And we have to think about how we design and develop for people and agents.
As AI agents become more capable, they’re increasingly interacting with products on behalf of users rather than just helping them within a chat window. Instead of a user manually opening an application and completing a task, an agent can gather information, compare options, execute workflows, and coordinate actions across multiple systems.
AI Transformation Requires Redesigning Work, Not Cutting Roles
AI is beginning to reshape workforce decisions, but many companies are moving faster than the evidence warrants. Early AI-driven layoffs have often failed to deliver expected returns, exposed gaps in organizational knowledge, and created new demands for human oversight—prompting some employers to reverse course. A more effective approach starts not with headcount targets but with the work itself: breaking roles into tasks, identifying where AI can genuinely improve performance, and redesigning processes around the right mix of human and technological capabilities.
Other Interesting Finds
Why some people mow a lawn better than others
This is a fun game and article. It took me several years to optimize my mowing pattern for my own yard. And while it may not be “optimal” in terms of speed, it balances speed and aesthetics well. Regardless, this is a fun analysis of optimizing paths.