Where the workflow shifted
Model selection for global AI products should include long-task reliability, tool use, cost, latency, and fallback plans.
Tool names are not outcomes
The signal matters when it changes how a team ships, reviews, or recovers work, not when it only names another tool.
Check permissions and failure
- Build a model-selection scorecard rather than relying on ranking screenshots
- Keep the test narrow: one low-risk task or tool entry before connecting permissions, logs, failure handling, and human takeover to production
What still needs proof
Treat this as a primary signal, then still check pricing, limits, and real adoption before acting. Keep the original source open so the announcement, the evidence, and this site's interpretation stay separate.