FIELD NOTE / INSTAGRAM
Route workloads by five properties.
The complete written thought and the evidence behind it. The video edition will follow its public release.
The written argument is here.
This approved Instagram edition is on the journal now. Its video player and original platform link will appear after each public release is verified.
Route workloads by five properties.
Video caption
Route workloads by five properties.
A busy shop floor and a rare exception need different service.
Pin the models, hardware and full acceptance path.
Escalation is part of the design.
#EricFieldNotes
Full written post / accessibility read
Before choosing where an AI task runs, write down five properties: required answer quality, privacy boundary, latency budget, concurrency and recovery tolerance. Without them, 'local is cheaper' and 'cloud is smarter' are both shortcuts.
In an illustrative plant-support workflow, a gateway handles routine short event labels locally and keeps raw state on site. A rare incident needs broader context and careful review. Sending every routine event remote adds network dependency; forcing every exception local risks poor judgment.
Use representative data that can legally cross each boundary. Test cold and warm latency, peak concurrency, task-specific correctness, recovery after lost connectivity and operator rescue. Price the complete accepted response, not a model call or device hour.
Keep bounded private work local when it passes; use a hosted or owner review path when the task, load or uncertainty demands it. Do this because the optimal split can change with workload and the cost of being wrong.
#EricFieldNotes
Four-beat scene transcript
1. Route workloads by five properties.
Before choosing where an AI task runs, write down five properties: required answer quality, privacy boundary, latency budget, concurrency and recovery tolerance. Without them, 'local is cheaper' and 'cloud is smarter' are both shortcuts.
Visual: Local and cloud solve different constraints.
2. The wrong route hurts a specific slice.
In an illustrative plant-support workflow, a gateway handles routine short event labels locally and keeps raw state on site. A rare incident needs broader context and careful review. Sending every routine event remote adds network dependency; forcing every exception local risks poor judgment.
Visual: A busy shop floor and a rare exception need different service.
3. Measure all five on real cases.
Use representative data that can legally cross each boundary. Test cold and warm latency, peak concurrency, task-specific correctness, recovery after lost connectivity and operator rescue. Price the complete accepted response, not a model call or device hour.
Visual: Pin the models, hardware and full acceptance path.
4. Choose a route per case class.
Keep bounded private work local when it passes; use a hosted or owner review path when the task, load or uncertainty demands it. Do this because the optimal split can change with workload and the cost of being wrong.
Visual: Escalation is part of the design.
Research and claim limits
- Moonshot AI: Kimi K3 official model card (S128)
- Apple: current Mac mini technical specifications (S129)
The examples identified as illustrative or simulated are design probes, not reported incidents. Vendor specifications do not establish workload performance.