Simulate Routine
Run any routine: toggle inputs, force values, step the scan, and watch power flow through the rungs.
Imagine
Imagine you just arrived at site.
The customer is eager to commission. If the logic hasn't been fully tested, the first real test happens in front of them. What if you already knew it works?
How it works
Import the project. Do the work. Export it back.
- 1
Import
One routine at a time on Free; whole projects with their local I/O on Pro.
- 2
Understand
Read it in the Ladder Viewer, trace any tag through the project, and ask plain-English questions.
- 3
Change
Edit by hand, or review the AI's proposal rung by rung.
- 4
Prove
Simulate the routine, the program, or the whole project.
- 5
Export
Routines and programs on Pro; whole imported projects on Max.
Simulation
Routine. Program. Whole controller.
Simulation follows the Logix scan model, in a browser tab, with no controller. How it works →
Simulate Program
The main routine plus every JSR it calls, in one scan.
Simulate Project
The whole controller: continuous, periodic, and event tasks on their own schedules.
Max
About Live Testing Then prove it on the real controller.
With Data Weaver for Windows, Max connects to a CompactLogix or ControlLogix on your bench: monitor it online, and use Live Control for bench tests and FAT. Local connections only. Not a safety device.
AI you review
Ask for logic. Weaver creates it. You approve every rung.
- Design Decisions. Where your request leaves a real choice open, the plan offers it with the AI's recommendation marked Suggested. Change it, or just approve.
- Test-drive in the simulator. Every edit is run, not just checked, and graded against Behavior checks — plain statements of what the change should do.
- Accept or discard each change in the Changes Viewer.
- Each save is a new revision, and the routine stays marked until you export it.
Pro · AI Pro Programmer Max · AI Expert Programmer
AI output can contain errors. You review it; Studio verifies it.
Trust
Your logic stays yours.
Exports verified with 0 errors in Studio v36 and run on a 5069-L306ER.
- AI changes are proposals — nothing lands until you accept it.
- Every save creates a new revision you can go back to.
- Encrypted in transit (TLS) and at rest (AES-256).
- Your code is never used to train AI models.
- You decide who can open each project. Support access is logged and never routine.