The reading notebook
Feeds
Articles we enjoyed, with a few notes on what caught our attention.
Services: The New Software
Our note
Sequoia makes the case for AI businesses that deliver completed work rather than sell another tool. For us, the interesting question is what it takes to own that outcome: fitting into existing operations, handling exceptions, and taking responsibility for the result.
We are all Product Engineers now
Our note
As code becomes cheaper to produce, understanding what to build takes on more weight. What interests us here is the connection between engineering and product judgement: working with the people who know the business, defining the problem, and checking whether the solution actually helps.
Our note
A sharp counterpoint to the enthusiasm around AI. Suresh describes how pressure to demonstrate adoption can displace basic questions about usefulness. Our takeaway: start with the operating problem, listen to the people doing the work, and measure what improves.