Inspect the source asset
Open the original file before making changes. For CSM AI output, record its format, units, dependencies, and current joint-area topology so the rig readiness pass has a reliable baseline.
Source cleanup
3D asset rig readiness assessment after CSM AI output
Plan rig readiness for CSM AI output. Review the source, test the destination export, and document settings, evidence, and open risks.
CSM AI outputrig readinesssource cleanupexportQA
Recommended workflow
Check joint-area topology
During rig readiness for CSM AI output, establish the expected state of joint-area topology. Resolve or document any gap before moving on to neutral pose.
Test in CSM AI output
Do not rely on the authoring viewport alone. For rig readiness, load a representative export in CSM AI output and verify neutral pose together with rigid-part separation.
Package the result
For CSM AI output, keep the accepted export, its settings, and a short note about unresolved risks. Name the person responsible for the final review of rig readiness.
Practical answer
The practical approach is straightforward: for CSM AI output, begin with joint-area topology, then test neutral pose and rigid-part separation in the actual destination. Keep the accepted export settings and any unresolved rig readiness risks with the source file.
Production notes
CSM AI output is a starting point, not proof that an asset is production-ready. A rig readiness pass should distinguish generation artifacts from deliberate form before anyone spends time polishing the result.
For CSM AI output, use a short representative clip to verify joint names, rest pose, frame range, root motion, and deformation. Preserve the source rig until rigid-part separation passes review.
Check edge flow around joints, neutral pose, separate rigid parts, naming, and expected deformation before rigging begins. Apply this rig readiness guidance to the actual CSM AI output delivery path.
Acceptance criteria
| rig readiness check for CSM AI output | CSM AI output pass condition for rig readiness | Evidence to keep for CSM AI output rig readiness |
|---|---|---|
| joint-area topology during rig readiness for CSM AI output | For CSM AI output rig readiness, the source and revised asset use an agreed value for joint-area topology. | Keep CSM AI output rig readiness before-and-after values and the setting that changed. |
| neutral pose during rig readiness for CSM AI output | The rig readiness result for neutral pose matches the expected behavior in CSM AI output, not only in the editor. | Keep target-side evidence for CSM AI output rig readiness, such as an import log or captured test. |
| rigid-part separation during rig readiness for CSM AI output | The recorded result for rigid-part separation meets the CSM AI output release requirement for this rig readiness job. | Keep the accepted CSM AI output result and the reviewer name for rig readiness. |
| naming readiness after rig readiness for CSM AI output | The rig readiness handoff for CSM AI output contains only the files needed downstream. | Keep the CSM AI output export preset, fallback, dependencies, and open risks from rig readiness. |
Decisions to make
What is in scope?
For CSM AI output, define the asset, destination, and release condition before editing. Keep a clean source copy and state why joint-area topology is relevant to rig readiness.
What can block delivery?
For rig readiness in CSM AI output, treat unresolved neutral pose as blocking. Decide whether it needs a technical fix, additional evidence, or a qualified reviewer.
What proves it is ready?
For rig readiness, require a representative result in CSM AI output, the accepted export settings, and a clear outcome for rigid-part separation. Record who approved the final package.
Preflight checklist
- Before rig readiness, confirm that CSM AI output is the actual source cleanup destination, not just an intermediate preview tool.
- For CSM AI output, keep an untouched source file for rig readiness and record the starting state of joint-area topology and neutral pose.
- Verify rigid-part separation in CSM AI output during rig readiness rather than assuming the editor preview is authoritative.
- For CSM AI output, save the approved export settings, fallback file, and owner of any remaining rig readiness work.
Common failure modes
Unexpected change: joint-area topology
During rig readiness, compare the source and destination values for joint-area topology. Do not continue until the difference is explained and assigned to the asset or the CSM AI output pipeline.
Destination mismatch: neutral pose
For rig readiness, capture the CSM AI output result and isolate the responsible layer. A clean authoring preview is not proof when the exported neutral pose result no longer matches the baseline.
No pass condition for rigid-part separation
Define an observable rig readiness result or move the decision to a qualified CSM AI output reviewer. Do not hide an unresolved rigid-part separation risk behind a general “ready” status.
Related 3D asset guides
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FAQ
How should I plan rig readiness for CSM AI output?
For CSM AI output, start with joint-area topology on the untouched source file. It gives you a baseline before the rig readiness pass changes geometry, materials, metadata, or export settings.
What should the CSM AI output rig readiness checklist include?
During rig readiness for CSM AI output, record the source format, units, texture locations, material slots, exporter, destination version, and observed neutral pose behavior.
Which joint-area topology requirements matter most?
The rig readiness pass is complete when joint-area topology, neutral pose, and rigid-part separation have been tested in CSM AI output, the export opens correctly, and remaining review has an owner.
What happens when neutral pose does not pass review in CSM AI output?
For CSM AI output, use a qualified reviewer during rig readiness when rigid-part separation cannot be verified automatically or when licensing, device, marketplace, or domain rules affect approval.