Adoption, Not Models: What Zendesk Got Right
Notes from the teams shipping code execution to real users.
There is a version of this story that is mostly hype. There is another version, the one we are interested in, that is mostly engineering.
What Inflection actually shipped with Command R+ 2 is less a single capability and more a cluster of small, compounding improvements — the kind that only show up when you put a real workflow on top.
Inside Klarna, the rollout looked less like a moonshot and more like a slow migration. A pilot, a champion, a quiet expansion, a budget line.
Inside Atlassian, the rollout looked less like a moonshot and more like a slow migration. A pilot, a champion, a quiet expansion, a budget line.
The skeptical read is that we are watching a feature, not a platform. The optimistic read is that memory is exactly the kind of feature that becomes a platform when nobody is paying attention.
The cost curve matters here. Gemini 3 Pro is roughly an order of magnitude cheaper per token than the equivalent model 18 months ago, and that changes which problems are worth automating at all.
What Cohere actually shipped with Mistral Large 3 is less a single capability and more a cluster of small, compounding improvements — the kind that only show up when you put a real workflow on top.
None of this guarantees a clean story. Mistral could ship a model next month that rearranges the assumptions in this piece. But the direction of travel, for now, is clear enough to plan around.