The Honest ROI Story Behind Notion's AI Bet

For most of the last year, the conversation around long-context workflows has been louder than the evidence. That is starting to change.

The skeptical read is that we are watching a feature, not a platform. The optimistic read is that agent mode is exactly the kind of feature that becomes a platform when nobody is paying attention.

The cost curve matters here. Llama 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.

Inside Spotify, 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 fine-tuning is exactly the kind of feature that becomes a platform when nobody is paying attention.

Eval harnesses, once an afterthought, are becoming the most important piece of code in many AI projects. Ramp's team treats theirs the way an SRE team treats a runbook.

What Anthropic actually shipped with Qwen 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. Inflection 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.