The 'Siri Sandbox': Where Apple Intelligence Actually Stops
When you ask Siri to run a Geekbench test on macOS, the process hits a hard wall because Apple Intelligence lacks the system-level permissions to trigger a third-party application's internal 'Run' button. You can observe this exact friction on the screen as the assistant successfully opens the application but halts abruptly, leaving the cursor motionless while waiting for manual human intervention.
The invisible wall blocking Apple Intelligence from Slack
Attempting to pull pictures of cats or babies out of Slack using Apple Intelligence reveals a frustrating semantic gap, as the system currently treats non-native application databases as invisible black boxes. The real-time screen progression highlights this friction, showing local queries instantly resolving matches inside Apple's Photos and Messages apps while identical keyword prompts for third-party chat logs simply return blank error states.
Averaging 50 mixed screenshots breaks Siri's local analysis
Highlighting dozens of screenshots in Finder and asking Siri to extract numerical averages succeeds flawlessly with uniform data, but completely derails when synthetic benchmark scores are mixed with 4K render times. The output visibly collapses during this process, transforming a cleanly structured tabular array into a wobbling text block as the underlying language model struggles to classify conflicting variables.
Stop trusting AI-generated Shortcuts to execute app logic
When generating an automated workflow to run benchmarks, Apple Intelligence frequently hallucinates the logic because rigid App Intent restrictions prevent it from triggering non-native actions. Examining the generated Shortcut reveals a visible shift where Siri inexplicably inserts a manual 'Wait for you to run the test' command, silently abandoning the execution rather than processing the actual application trigger.
Building a hybrid Shortcut with a manual hard stop
While Apple's Private Cloud Compute securely offloads the heavy lifting for formatting large datasets, the final verification step must remain strictly manual because Siri's semantic extraction frequently misaligns adjacent numerical rows. You can build a reliable hybrid sequence by programming the Shortcut to halt right as the generated preview screen slides into view, forcing a hard stop for human validation before the data commits to your final Numbers document.