Perhaps Inc. | Faces

A company building AI-native products

I am often wrong

[I shared this note with my team earlier this week, and am posting it here as well. I hope it is interesting or helpful for others working on building product in the age of AI.]

What Would A Serious AI Product Look Like?

Every “AI” tool is missing critical features that you would need if you wanted to do real work with them. What would those look like, if they existed?

LukeW | Common AI Product Issues

At this point, almost every software domain has launched or explored AI features. Despite the wide range of use cases, most of these implementations have been t...

LukeW | The Evolution of AI Products

At this point, the use of artificial intelligence and machine learning models in software has a long history. But the past three years really accelerated the ev...

AI is Creating Peak Software, Media is the Best Analogy

Let's learn more about the world's most important manufactured product. Meaningful insight, timely analysis, and an occasional investment idea.

The New Software Lifecycle

I co-wrote a Google whitepaper about how AI is changing the software lifecycle. I'm not going to summarize the whole thing. Instead, here are the handful of ...

AI Innovation Workspace | Miro

Speed up product development from ideation to launch. Align teams, break tool silos and ship what customers need in one AI-powered visual platform.

Nature is Laughing at the AI Build Out -

I was catching up on Acquired episodes this week and listened to the spectacular “Google: The AI Company” episode that Ben and David put together. What the two of them have created with their podcast fascinates me in the inevitability of its success. I think Acquired proves that if you are smart and work your […]

Signals: Toward a Self-Improving Agent | Factory.ai

Traditional product analytics tell you what happened. Session duration, tool calls executed, completion rates. But they...

Building AI Products In The Probabilistic Era

AI turns products from deterministic functions into probabilistic systems. That requires expanding old playbooks (SLOs, funnels, siloed finance), and reasoning in terms of trajectories, Minimum Viable Intelligence thresholds, and data as company operating system.

The golden rules of agent-first product engineering

Five principles for building products that work well for AI agents and MCP servers.

Ideas for AI in Sales Software

Products I'd pay for