Create a draft, inspect the script and run it locally with your worksheet. Keep output, errors and the next question in the same workflow.
N / 03
Stay close to the work itself.
Use Create with AI for a starting point. Use Review / fix with the current script and its latest error. Return to the output when you are ready to inspect the result.
Interactive product tourOn your PC
YOUR QUESTION
“Plot tool wear against vibration, and add a quadratic fit.”
Numetiva AI
Turn the question into a script you can inspect.
Python workbenchDraft
import numpy as npimport matplotlib.pyplot as pltx = df["Tool_Wear_um"]y = df["Vibration_RMS_g"]ax.scatter(x, y)fit = np.polyfit(x, y, 2)
PABLE / repeatable engineering work
Write it once. Run the useful steps again.
Keep local batch recipes, parameter selections and loop steps together. Return to a saved recipe when another file, group or engineering question arrives.
01 / PREPARE
Start with the worksheet.
Choose the inputs and inspect the columns before building the recipe.
02 / RUN
Work through the batch.
Use saved steps and loops to repeat the defined operation across the chosen inputs.
03 / REVIEW
Keep results in view.
Inspect outputs and errors, then retain the useful results in the project.
Your deployment environment
Local operation. A deliberate choice.
Keep statistical calculations, configured offline AI and Python execution on the Windows PC. Plan the sources, packages and permissions around the environment where the work will run.
