FIELD NOTE / X
Price the commissioning, not the code draft.
The complete written thought and the evidence behind it. The video edition will follow its public release.
The written argument is here.
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Price the commissioning, not the code draft.
Video caption
Price the commissioning, not the code draft. Commissioning time and downtime risk are real costs. Draft faster, but protect the physical verdict. #EricFieldNotes
Full written post / accessibility read
AI may cut PLC drafting time sharply. Siemens describes real assistance for SCL, ladder and test logic. But a plant manager buys an accepted change, which still requires fault models, qualified review, an installation window, physical observation and rollback readiness.
In a fictional conveyor, a simulation omits a stale input. The installed system behaves differently during a controlled test, so the team stops, revises the model, retests and books another window. The cheap draft did not determine the total job cost.
Compare AI-assisted and conventional work on the same bounded change type. Track time from signed requirement to accepted readback, specialist hours, fault escapes, commissioning duration, downtime exposure and rollback quality. Keep hazard-specific safety functions in their qualified lifecycle.
Let AI accelerate code, documentation and proposed tests. Invest the saved time in a better fault model and evidence packet. Do this because plant ROI comes from accepted behavior and fewer surprises, not lines of generated logic.
#EricFieldNotes
Four-beat scene transcript
1. Price the commissioning, not the code draft.
AI may cut PLC drafting time sharply. Siemens describes real assistance for SCL, ladder and test logic. But a plant manager buys an accepted change, which still requires fault models, qualified review, an installation window, physical observation and rollback readiness.
Visual: AI savings can disappear in late plant rework.
2. A late mismatch can dominate the bill.
In a fictional conveyor, a simulation omits a stale input. The installed system behaves differently during a controlled test, so the team stops, revises the model, retests and books another window. The cheap draft did not determine the total job cost.
Visual: Commissioning time and downtime risk are real costs.
3. Measure accepted engineering throughput.
Compare AI-assisted and conventional work on the same bounded change type. Track time from signed requirement to accepted readback, specialist hours, fault escapes, commissioning duration, downtime exposure and rollback quality. Keep hazard-specific safety functions in their qualified lifecycle.
Visual: Include correction, review and plant exposure.
4. Use AI where the full path improves.
Let AI accelerate code, documentation and proposed tests. Invest the saved time in a better fault model and evidence packet. Do this because plant ROI comes from accepted behavior and fewer surprises, not lines of generated logic.
Visual: Draft faster, but protect the physical verdict.
Research and claim limits
- Siemens Eigen Engineering Agent (S139)
- Siemens Automation Framework documentation (S140)
- ISO 13849-1:2023 (S143)
The examples identified as illustrative or simulated are design probes, not reported incidents. Vendor specifications do not establish workload performance.