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AI design review tools: what “AI review” should actually mean

Most “AI design review” tools are checklists with a chatbot. They summarize a document or answer questions about a single file. Real AI design review means agents that understand the whole product — schematic, firmware, CAD, BOM — and check every change against every affected discipline, automatically.

01

Reviews the product, not the file

ProductFlo agents operate on a unified engineering graph across all your artefacts. A pin reassignment in firmware is checked against the schematic; a footprint swap is checked against the mechanical enclosure. Single-file AI tools cannot do this — they never see the other disciplines.

02

Proposes diffs; never commits

Every agent output is a reviewable, scoped diff routed to the right owner, with a full audit trail — prompt, model, and diff produced. Dry-run mode is on by default. No black-box changes to your designs, ever.

03

Enforced at the merge gate

Review is not a meeting you schedule — it is a gate every change passes through. Agents check; humans approve. The result is review rigor without review latency.

04

Grounded in your tools, not a new dashboard

Agents show up where engineers work: a bot on GitHub PRs, a task pane in SolidWorks, a panel in Onshape. No new tool to learn, no context-switching to a review portal.

Evaluating AI design review tools? Ask these questions

  • Does it see the whole product graph, or only the file you upload?
  • Can its agents propose changes — and can you audit exactly what they did?
  • Is review continuous and enforced, or a report you have to remember to run?
  • Does it meet engineers inside their existing tools?

Comparing options? See all eight ProductFlo comparisons.

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