Inside the New Wave of Notion AI Built for analysts
A field report on computer-use agents and what it changes for product managers.
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 Google DeepMind actually shipped with Grok 4 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.
What Inflection actually shipped with DeepSeek V4 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.
The cost curve matters here. Phi-4 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.
Teams that win with long-context workflows tend to share a habit: they write the evals before they write the prompts. Everything else follows from that.
Zendesk has been quietly running pricing analysis through Cursor for months. The results are unglamorous and, for that reason, more interesting than another benchmark chart.
What OpenAI actually shipped with Phi-4 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.