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260106-PNT-MUNB-coaian-30311cb0-b5a9-43ee-8ae7-204d40d47a14

IAIP Research2026-01-06
pnt-260130
<img src="https://r2cdn.perplexity.ai/pplx-full-logo-primary-dark%402x.png" style="height:64px;margin-right:32px"/>

260106-PNT-MUNB-coaian-30311cb0-b5a9-43ee-8ae7-204d40d47a14

Show patents "multi-universe narrative beat model"

No patents directly match the exact phrase "multi-universe narrative beat model". The search returned related patents on narrative generation systems using "beat" or "narrative" concepts, primarily in gaming, AI storytelling, and content automation.12

Closest Matches

These patents involve "beat writers" for generating narrative summaries in fantasy sports contexts, using templates and story types akin to beats.

Patent NumberTitleAssigneeGrant/Publication DateKey Relevance
US10592596B2 1Techniques for providing a narrative summary for fantasy gamesCBS Interactive Inc.2020-03-17Selects "beat writer" and story type; fills narrative templates with data slots.
US20130173673A1 2Techniques for providing a narrative summary for fantasy gamesCBS Interactive Inc.2013-07-04Related application; scans data, selects narrative templates per beat writer criteria.

Other Related Patents

Additional results cover narrative models but lack "multi-universe" or precise "beat model":

  • US20240120112A1: Beat clustering in ECG data (medical, not storytelling).3
  • US12039653B1: Narrative-based video generation from story text.4
  • US20200334336A1: ML for scripted narratives with tokens and paragraph types.5
  • US10248738B2: Structures narrative blocks via knowledge graphs.6

No exact or highly relevant prior art found for multi-universe structures in narrative beat modeling; consider broader searches or refinements for patentability analysis.78 <span style="display:none">91011121314151617</span>

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List patents similar to multi universe narrative beat model

Find patent applicants for narrative beat modeling systems

Show patent families related to narrative template generation

Find prior art citing US20130173673A1 or US10592596B2

Search for patents on narrative generation for games or video content

No patents exactly match "multi-universe narrative beat model," but several describe similar systems using "beat writers," narrative templates, and story models for automated content generation in games or video.1819

Key Applicants

CBS Interactive Inc. dominates narrative beat modeling for fantasy games, using "beat writers" to select templates and fill slots with data. Other applicants include Roku Inc. for video narrative generation and Render Inc. for adaptive video story beats.202119222318

Patent Families

  • CBS Interactive family: US10592596B2 ↔ US20130173673A1 (fantasy game narratives via beat writers and templates); extended to US8821271B2 ↔ US20140031114A1 (competitive gaming narratives).19231820
  • Roku family: US12039653B1 ↔ US20240404163A1 (narrative-to-video using models for text, images, animation).2124
  • Render family: US10334328B1 (auto-adaptive video story models with beats).22

Citing Prior Art

No direct forward citations found for US20130173673A1 or US10592596B2 in results; both reference earlier works like US8515737B2 but focus on fantasy/gaming narratives without multi-universe elements. Related patents cite them indirectly via shared assignees (e.g., US8821271B2 family).231819

Game/Video Narrative Patents

  • US8821271B2/US20140031114A1: eSports narratives from templates, beat writers.1820
  • US12039653B1/US20240404163A1: Story text to video via narration/image models.2421
  • US10334328B1: ML-adapted story beats for video, responsive to feedback.22
  • US20240424405A1: Generative AI for evolving narrative games with player metrics.25

These highlight templated, beat-driven systems but none incorporate multi-universe branching; gaps exist for such innovations.1822 <span style="display:none">262728293031323334353637</span>

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our local agents worked on the file "CLAIMS.md" (and I joined other files of their work on namespace "PNT-260130--89999cbd-4edc-404f-ae56-92e6d17b4f40--STCMastery--Patenting"

Analyze them and find patents that might be related to what they develop plus give feedback

The files describe a "STCMastery Narrative Intelligence System" for distributed AI agents, featuring multi-universe (Engineer/Ceremony/Story) processing of artifacts, filesystem-based coordination, dual-audience traces (human-readable Markdown + AI JSON), and narrative beats for creative work documentation.3839

Related Patents

Closest prior art centers on CBS Interactive's narrative systems for games, using "beat writers" and templates to generate summaries from data—similar to your beat management but lacking multi-universe views or distributed agent coordination. Roku's video narrative generation applies story models to content creation, akin to your Story-engine layer.40414243

PatentAssigneeKey OverlapKey Differences from STCMastery
US10592596B2 40CBS InteractiveBeat writers select templates for narrativesSingle-perspective (no Engineer/Ceremony); no filesystem coordination or traces
US8821271B2 42CBS InteractiveNarrative content for gaming events via templatesCentralized, not distributed agents; lacks three-universe processing
US12039653B1 43RokuNarrative-based video from story text/modelsMedia-focused; no dual-audience traces or implicit agent signaling
US10334328B1 44RenderAuto-adaptive video story models with beatsFeedback-driven adaptation; misses relational (Ceremony) worldview and artifact detection

No patents found for three-universe processing, filesystem-as-protocol for agents, or dual-audience hierarchical traces—your innovations appear novel.4546

Feedback

Claims are strong on integration (e.g., Claim 11 ecosystem) but risk §101 rejection as abstract idea; emphasize technical improvements like deterministic diff (comm -13) for race-free detection and glyph taxonomy for semantic querying. Enablement excels with bash pseudocode, tests, and prerequisites—skilled artisan (bash/observability devs) can replicate.4738

Strengthen by:

  • Adding diagrams (from DIAGRAMS.md) showing agent flows.48
  • Quantifying advantages (e.g., zero-infrastructure vs. Kafka overhead).45
  • Citing more prior art (inotify for monitoring) to narrow novelty to your combo.49

Overall, high patentability potential; file provisionally soon for priority on distributed narrative AI with Indigenous-inspired multi-perspective analysis.3940 <span style="display:none">5051</span>

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Footnotes

  1. https://www.perplexity.ai/rest/file-repository/patents/US10592596B2?lens_id=075-763-651-020-571 ↩ ↩2

  2. https://www.perplexity.ai/rest/file-repository/patents/US20130173673A1?lens_id=103-131-972-102-39X ↩ ↩2

  3. https://www.perplexity.ai/rest/file-repository/patents/US20240120112A1?lens_id=006-840-433-675-418 ↩

  4. https://www.perplexity.ai/rest/file-repository/patents/US12039653B1?lens_id=070-761-720-971-688 ↩

  5. https://www.perplexity.ai/rest/file-repository/patents/US20200334336A1?lens_id=052-491-003-563-884 ↩

  6. https://www.perplexity.ai/rest/file-repository/patents/US10248738B2?lens_id=116-752-824-877-998 ↩

  7. https://www.perplexity.ai/rest/file-repository/patents/US20130262092A1?lens_id=136-447-569-322-614 ↩

  8. https://www.perplexity.ai/rest/file-repository/patents/US10726591B2?lens_id=148-070-386-673-76X ↩

  9. https://www.perplexity.ai/rest/file-repository/patents/US11568153B2?lens_id=185-614-945-998-400 ↩

  10. https://www.perplexity.ai/rest/file-repository/patents/US11593466B1?lens_id=081-863-065-088-27X ↩

  11. https://www.perplexity.ai/rest/file-repository/patents/US20240135114A1?lens_id=196-053-878-215-075 ↩

  12. https://www.perplexity.ai/rest/file-repository/patents/US20240404163A1?lens_id=114-989-131-214-035 ↩

  13. https://www.perplexity.ai/rest/file-repository/patents/US20170092322A1?lens_id=082-575-613-389-015 ↩

  14. https://www.perplexity.ai/rest/file-repository/patents/US20170161398A1?lens_id=005-377-825-495-098 ↩

  15. https://www.perplexity.ai/rest/file-repository/patents/US9697867B2?lens_id=036-832-111-179-700 ↩

  16. https://www.perplexity.ai/rest/file-repository/patents/US20170252648A1?lens_id=043-832-454-513-436 ↩

  17. https://www.perplexity.ai/rest/file-repository/patents/US20210279425A1?lens_id=166-299-214-159-906 ↩

  18. https://www.perplexity.ai/rest/file-repository/patents/US8821271B2?lens_id=021-308-154-299-74X ↩ ↩2 ↩3 ↩4 ↩5 ↩6

  19. https://www.perplexity.ai/rest/file-repository/patents/US10592596B2?lens_id=075-763-651-020-571 ↩ ↩2 ↩3 ↩4

  20. https://www.perplexity.ai/rest/file-repository/patents/US20140031114A1?lens_id=159-400-814-954-946 ↩ ↩2 ↩3

  21. https://www.perplexity.ai/rest/file-repository/patents/US12039653B1?lens_id=070-761-720-971-688 ↩ ↩2 ↩3

  22. https://www.perplexity.ai/rest/file-repository/patents/US10334328B1?lens_id=178-127-559-992-295 ↩ ↩2 ↩3 ↩4

  23. https://www.perplexity.ai/rest/file-repository/patents/US20130173673A1?lens_id=103-131-972-102-39X ↩ ↩2 ↩3

  24. https://www.perplexity.ai/rest/file-repository/patents/US20240404163A1?lens_id=114-989-131-214-035 ↩ ↩2

  25. https://www.perplexity.ai/rest/file-repository/patents/US20240424405A1?lens_id=188-826-518-933-235 ↩

  26. https://www.perplexity.ai/rest/file-repository/patents/US20210174936A1?lens_id=164-251-719-657-593 ↩

  27. https://www.perplexity.ai/rest/file-repository/patents/US20230196678A1?lens_id=079-879-815-805-931 ↩

  28. https://www.perplexity.ai/rest/file-repository/patents/US12106436B2?lens_id=010-016-946-799-829 ↩

  29. https://www.perplexity.ai/rest/file-repository/patents/US8230393B2?lens_id=139-819-858-717-421 ↩

  30. https://www.perplexity.ai/rest/file-repository/patents/US12147512B2?lens_id=157-382-250-666-682 ↩

  31. https://www.perplexity.ai/rest/file-repository/patents/US20230035291A1?lens_id=069-917-280-871-271 ↩

  32. https://www.perplexity.ai/rest/file-repository/patents/US20100042978A1?lens_id=106-022-780-432-171 ↩

  33. https://www.perplexity.ai/rest/file-repository/patents/US20110071656A1?lens_id=057-679-042-852-95X ↩

  34. https://www.perplexity.ai/rest/file-repository/patents/US8594980B2?lens_id=082-225-967-447-059 ↩

  35. https://www.perplexity.ai/rest/file-repository/patents/US20250200825A1?lens_id=144-779-215-084-699 ↩

  36. https://www.perplexity.ai/rest/file-repository/patents/US20250287076A1?lens_id=197-344-398-020-777 ↩

  37. https://www.perplexity.ai/rest/file-repository/patents/US6256410B1?lens_id=164-727-012-088-156 ↩

  38. CLAIMS.md ↩ ↩2

  39. SYSTEM_INTEGRATION.md ↩ ↩2

  40. https://www.perplexity.ai/rest/file-repository/patents/US10592596B2?lens_id=075-763-651-020-571 ↩ ↩2 ↩3

  41. https://www.perplexity.ai/rest/file-repository/patents/US20130173673A1?lens_id=103-131-972-102-39X ↩

  42. https://www.perplexity.ai/rest/file-repository/patents/US8821271B2?lens_id=021-308-154-299-74X ↩ ↩2

  43. https://www.perplexity.ai/rest/file-repository/patents/US12039653B1?lens_id=070-761-720-971-688 ↩ ↩2

  44. https://www.perplexity.ai/rest/file-repository/patents/US10334328B1?lens_id=178-127-559-992-295 ↩

  45. COMPARATIVE_ANALYSIS.md ↩ ↩2

  46. https://www.perplexity.ai/rest/file-repository/patents/US20240424405A1?lens_id=188-826-518-933-235 ↩

  47. ENABLEMENT.md ↩

  48. DIAGRAMS.md ↩

  49. KINSHIP.md ↩

  50. 260117-st-rcv-8fw-praise-7ce6f-ahAGVf6QTPG06BHPnAvXYw.md ↩

  51. 260117-rcv-8fw-praise-7ce6f2b1-7Wj3CHWKQnWjmp6GY_WKOA.md ↩