Changelog

General

• Production estimates are easier to trust because PIE OS can read useful details from production files before an operator confirms the work.
• Teams can now trace where an estimate came from, what the operator confirmed, and what happened during the attempt.

Operator

• 3D-print jobs can use G-code to prefill runtime and material estimates directly from the preparation modal or item manifest.
• Parsed values stay editable, so operators can correct slicer estimates before queueing or starting production.
• G-code warnings, source status, thumbnails when available, and ETA hints help operators review the preset without slowing down manual entry.
• Uploads and removals are blocked while an item is printing or ready for validation, keeping active production data stable.

General

• Production progress is now tracked per item from preparation through validation.
• Estimated and confirmed production values remain attached to each production attempt.

Operator

• Items can be prepared in an optional queue before production starts.
• Play, pause, stop, validate, and retry actions guide the production workflow.
• Successful and failed attempts collect the relevant material, running-time, waste, and result information.
• Estimated finish times support minutes, hours, and fractional values.

Admin

• Inventory views show attempt-based reserved, consumed, released, and waste information without changing stock automatically.

General

• Machine availability is now connected to the selected service and method.
• PIE OS can represent different production resources more flexibly, including printers and plotters.

Creator

• Machine choices now match the selected method, such as FDM, Resin, or Plot.
• Project item cards show the selected method for easier checking.

Operator

• Dashboard capacity now shows available machines by service method.
• Machine capability labels make it easier to see what each machine can be used for.

Admin

• Machines can be assigned to service methods from inventory management.
• Analytics now shows machine capability KPIs for available machines, running machines, and methods without available machines.

General

• Services can be presented more clearly as configurable request options.
• The prototype is better prepared for explaining future fabrication workflows beyond 3D printing.

Creator

• Service selection and project intake are more consistent.

Operator

• Project views use clearer service information.

Admin

• Service setup can be configured more cleanly per deployment.