90% of the code for some products is now written by AI, leading to unexpected bottlenecks in other areas like the merge queue, which had to be completely rearchitected due to the increase in pull requests.

Embedding product managers with AI researchers yields ten times the impact compared to traditional product development methods.

As AI capabilities grow, product teams can still add significant value by focusing on user experience, ethical considerations, and strategic direction.

Anthropic plans to compete with OpenAI by leveraging its unique strengths and focusing on areas where it can provide distinct value.

Using Claude as a product strategy partner involves specific prompting techniques that enhance collaboration and creativity.

I shut down Artifact because, despite loving the product, it wasn't growing as expected and I felt it was time to pivot to more impactful opportunities.

AI startups should focus on niche markets and specific applications to avoid being overshadowed by larger companies like OpenAI and Google.

The Model Context Protocol (MCP) could reshape how software operates by providing a framework for better context and memory management in AI applications.

Product metrics for AI should focus on the depth of engagement rather than just frequency, as meaningful interactions may not always show up in traditional metrics.

To evaluate whether a company is maximizing AI's potential, it's essential to assess if the AI is genuinely enhancing productivity and creativity.