Field notes from the
product loop.
How AI-native teams turn customer signal, product usage, and agent traces into shipped improvements, then prove what moved. Written by the team building Cleo.
- ·9 min read
What is an AI product engineer, really?
Observability tools end at a dashboard. An AI product engineer runs the full closed loop: it watches production, finds what to fix, ships it through your coding agents, and proves the impact. Here is the working definition, the job, and the difference.
- ·11 min read
From customer feedback to product roadmap, without the politics.
Most teams have more feedback than they can read. Fewer have a working method for turning that signal into the next sprint. Here is the loop we run with early-stage SaaS teams to get to evidence-backed ship-or-defer calls every week.
- ·10 min read
The weekly decision rhythm: continuous capture, weekly calls, ship, measure.
Signal flows in continuously; the decision is made on a weekly rhythm. We walk through the four phases (listen, synthesize, ship, measure) and the artifacts that hold the loop together for early-stage product work.