AI workflow

Agent-assisted exploration

This capability is about helping engineers move faster through setup, comparison, and interpretation while keeping physics and reviewability at the center. The goal is not opaque automation, but useful guidance around a technical workflow.

Capability overview

AI-assisted workflows that support simulation rather than replace it.

Assist with setup, exploration, and result interpretation.
Support parameter studies and structured comparisons.
Keep the workflow explainable and grounded in the governing physics.
Workflow placeholder
01

Guide the setup

Placeholder for model setup assistance, parameter selection prompts, and workflow scaffolding.

02

Coordinate exploration

Placeholder for sweeps, comparisons, and structured study plans driven by the assistant.

03

Summarize for review

Placeholder for traceable output summaries, interpretation notes, and next-step recommendations.

Examples

Example problem layouts for this capability.

These pages are set up to hold detailed examples later. For now, each example includes structured placeholder blocks for the major steps in a Phractals workflow.

Example case

Guided setup assistant for a fractional transport study

Placeholder for a workflow where an assistant helps organize model choices, boundary conditions, and study parameters.

Prompt/setup placeholder
Suggested model choices placeholder
Run plan placeholder
Review note placeholder
Example case

Automated comparison and reporting workflow

Placeholder for a case where an agent organizes classical-vs-fractional outputs into a reviewable summary for engineers.

Result aggregation placeholder
Comparison summary placeholder
Recommendation placeholder
Export/report placeholder
Next step

Want a real example here?

This page is ready to hold detailed Phractals examples. We can add benchmark cases, application studies, screenshots, and step-by-step outputs for this capability next.