Sample report
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Fictional example: edge ML batch scheduler (Python). Report ID: PPC-2026-05-20-SAMPLE
Demo only. This is a static illustration of a free-tier score. Your real report is generated from your code against live prior art.
Summary
This distributed scheduling approach shows solid technical merit but faces moderate §103 risk from queue-priority patents in edge computing. Documentation of human design choices around the node-selection heuristic would strengthen filing readiness.
58
Patentability
Moderate
35
Filing readiness
Needs work
Human vs. AI
Mostly human-directed — core scheduling logic appears inventor-authored; boilerplate utility helpers read AI-generated.
Pillar breakdown
Subject matter (§101)68
Novelty (§102)52
Non-obviousness (§103)48
Documentation & enablement (§112)41
How 58 is calculated: Patentability is weighted toward §102/§103 (prior-art risk), not a simple average of the four pillars. Filing readiness (35) is scored separately.
Compared against the nearest prior art matches from our continuously updated index.
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Report ID
PPC-2026-05-20-SAMPLE
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sha256·4f9a1c7e8b32…
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