Sources — 2026-09-20

Web sources consulted on 20 September 2026. Product status and prices change quickly; re-check before relying on them. Items the research flagged as recent or single-source are marked ⚠️.

Index: Citations — Production Pipeline · earlier page: Sources — 2026-09-19

Source control

• Perforce, P4 platform rebrand (March 2025): https://www.perforce.com/blog/vcs/introducing-the-p4-platform
• Perforce, pricing and free tier: https://www.perforce.com/resources/vcs/helix-core-pricing · https://www.perforce.com/products/helix-core/free-version-control
• Epic, Using Perforce as source control: https://dev.epicgames.com/documentation/en-us/unreal-engine/using-perforce-as-source-control-for-unreal-engine
• Epic, Source control in Unreal Engine: https://dev.epicgames.com/documentation/unreal-engine/source-control-in-unreal-engine
• Epic, One File Per Actor: https://dev.epicgames.com/documentation/en-us/unreal-engine/one-file-per-actor-in-unreal-engine
• Epic, Horde and UnrealGameSync tutorial: https://dev.epicgames.com/documentation/en-us/unreal-engine/horde-unrealgamesync-tutorial-for-unreal-engine
• Diversion pricing: https://www.diversion.dev/pricing
• ProjectBorealis UEGitPlugin: https://github.com/ProjectBorealis/UEGitPlugin
• Unity DevOps charges: https://support.unity.com/hc/en-us/articles/34748492914964-Understanding-Unity-DevOps-charges
• Epic Lore: https://github.com/EpicGames/lore · roadmap https://epicgames.github.io/lore/roadmap/ · UE docs https://dev.epicgames.com/documentation/unreal-engine/lore-version-control-in-unreal-engine
• The Register, Epic open-sources Lore: https://www.theregister.com/devops/2026/06/17/git-good-with-epic-games-new-open-source-vcs-lore/5257978
• GameFromScratch, Lore: https://gamefromscratch.com/new-lore-version-control-system-from-epic-games/

Conversation client plugin

• Epic, Plugins: https://dev.epicgames.com/documentation/unreal-engine/plugins-in-unreal-engine
• Epic, HTTP API: https://dev.epicgames.com/documentation/unreal-engine/API/Runtime/HTTP
• Epic, WebSockets API: https://dev.epicgames.com/documentation/unreal-engine/API/Runtime/WebSockets
• Unreal Community Wiki, WebSocket client: https://unrealcommunity.wiki/websocket-client-cpp-5vk7hp9e
• Epic, UAudioCaptureComponent: https://dev.epicgames.com/documentation/unreal-engine/API/Plugins/AudioCapture/UAudioCaptureComponent
• Epic, IAudioCaptureStream: https://dev.epicgames.com/documentation/unreal-engine/API/Runtime/AudioCaptureCore/IAudioCaptureStream
• Epic forums, mic capture: https://forums.unrealengine.com/t/knowledge-base-using-audio-capture-component-for-mic-capture/264943
• Epic, USoundWaveProcedural: https://dev.epicgames.com/documentation/unreal-engine/API/Runtime/Engine/USoundWaveProcedural

Captions

• W3C WCAG 2.2, SC 1.2.2: https://www.w3.org/WAI/WCAG22/Understanding/captions-prerecorded.html
• eCFR 47 CFR 79.1: https://www.ecfr.gov/current/title-47/chapter-I/subchapter-C/part-79/subpart-A/section-79.1
• DCMP Captioning Key: https://dcmp.org/learn/captioningkey/597 · https://dcmp.org/learn/captioningkey/601
• BBC subtitle guidelines (summary): https://www.clevercast.com/bbc-subtitling-guidelines/
• Smithsonian Guidelines for Accessible Exhibition Design: https://www.thc.texas.gov/public/upload/publications/Smithsonian Guidelines for accessible design.pdf
• Meta, VR accessibility: https://developers.meta.com/horizon/design/accessibility/ · VRC.Quest.Accessibility.1 https://developers.meta.com/horizon/resources/vrc-quest-accessibility-1/
• W3C, XR Accessibility User Requirements: https://www.w3.org/TR/xaur/
• Epic, Subtitles and Closed Captions plugin: https://dev.epicgames.com/documentation/unreal-engine/subtitles-and-closed-captions-plugin-in-unreal-engine

Kiosk lighting

• Epic, UE 5.8 announcement: https://www.unrealengine.com/news/unreal-engine-5-8-is-now-available
• Epic, MegaLights: https://dev.epicgames.com/documentation/en-us/unreal-engine/megalights-in-unreal-engine
• Epic, Lumen technical details: https://dev.epicgames.com/documentation/unreal-engine/lumen-technical-details-in-unreal-engine
• Epic, TSR: https://dev.epicgames.com/documentation/en-us/unreal-engine/temporal-super-resolution-in-unreal-engine
• Epic, UE 5.7 announcement (Substrate): https://www.unrealengine.com/news/unreal-engine-5-7-is-now-available
• Epic, six character lighting presets: https://www.unrealengine.com/en-US/blog/six-new-character-lighting-presets-for-unreal-engine-available-now
• Epic, MetaHuman custom lighting scenarios: https://dev.epicgames.com/documentation/metahuman/metahuman-custom-lighting-scenarios-and-render-settings-in-unreal-engine
• Tom Looman, UE 5.8 performance highlights: https://tomlooman.com/unreal-engine-5-8-performance-highlights/

Place kits

• Epic, Level instancing: https://dev.epicgames.com/documentation/en-us/unreal-engine/level-instancing-in-unreal-engine
• Epic, GPU Lightmass: https://dev.epicgames.com/documentation/unreal-engine/gpu-lightmass-global-illumination-in-unreal-engine
• Meta, lighting and effects: https://developers.meta.com/horizon/design/lighting-and-effects/
• Library of Congress HABS/HAER/HALS: https://www.loc.gov/pictures/item/2009632512/ · Swain-Mitchell House https://www.loc.gov/item/ma0420/ · Hadwen House https://www.loc.gov/item/ma0341/

Vision Pro

• 80 Level, UE full-immersion support: https://80.lv/articles/unreal-engine-will-get-support-for-apple-vision-pro-s-full-immersion
• Epic forums, visionOS issues and Epic reply (Jan 2026): https://forums.unrealengine.com/t/collection-of-visionos-26-2-and-vision-pro-issues-and-hopes-for-any-timeline-to-resolve-them/2691226
• Epic, UE 5.8 release notes: https://dev.epicgames.com/documentation/unreal-engine/unreal-engine-5-8-release-notes
• Unity PolySpatial visionOS: https://docs.unity3d.com/Packages/com.unity.polyspatial.visionos@2.2/manual/index.html
• Apple, fully immersive Metal: https://developer.apple.com/documentation/compositorservices/drawing-fully-immersive-content-using-metal · WWDC24: https://developer.apple.com/videos/play/wwdc2024/10092/

Profiling

• Epic, Trace quick start: https://dev.epicgames.com/documentation/unreal-engine/trace-quick-start-guide-in-unreal-engine
• Epic, Memory Insights: https://dev.epicgames.com/documentation/unreal-engine/memory-insights-in-unreal-engine
• Epic, LLM: https://dev.epicgames.com/documentation/en-us/unreal-engine/using-the-low-level-memory-tracker-in-unreal-engine
• Epic, stat commands: https://dev.epicgames.com/documentation/en-us/unreal-engine/stat-commands-in-unreal-engine
• Meta, VRC.Quest.Performance.1: https://developers.meta.com/horizon/resources/vrc-quest-performance-1/
• Meta, performance optimisation (Unreal): https://developers.meta.com/horizon/documentation/unreal/po-perf-opt-mobile/
• Meta, OVR Metrics Tool: https://developers.meta.com/horizon/documentation/unreal/ts-ovrmetricstool/ · MQDH https://developers.meta.com/horizon/documentation/unreal/ts-mqdh-logs-metrics/ · RenderDoc https://developers.meta.com/horizon/documentation/native/android/ts-renderdoc-for-oculus/ · Insights on Quest https://developers.meta.com/horizon/documentation/unreal/ts-unreal-insights-ue5/
• Android GPU Inspector: https://developer.android.com/agi
• Epic, MetaHuman LOD specs: https://dev.epicgames.com/documentation/metahuman/platform-support-and-lod-specifications-for-metahumans · https://dev.epicgames.com/documentation/metahuman/controlling-metahuman-levels-of-detail-lods-in-unreal-engine

Grooms

• Epic, Groom Platform Support: https://dev.epicgames.com/documentation/unreal-engine/groom-platform-support-in-unreal-engine
• Epic, Groom Scalability and Performance: https://dev.epicgames.com/documentation/unreal-engine/groom-scalability-and-performance-with-unreal-engine
• Epic, Houdini Groom Starter/Advanced Kits, MetaHuman for Houdini, Parametric Hairstyle Generator: https://dev.epicgames.com/documentation/metahuman/houdini-groom-starter-kit · https://dev.epicgames.com/documentation/metahuman/houdini-groom-advanced-kit · https://dev.epicgames.com/documentation/metahuman/metahuman-for-houdini · https://dev.epicgames.com/documentation/metahuman/parametric-hairstyle-generator
• SideFX, Advanced grooming tips and Houdini to Unreal: https://www.sidefx.com/tutorials/advanced-grooming-tips-and-houdini-to-unreal-engine-tutorial/
• NHA Cased Photographs Collection: https://nha.org/research/the-collections/finding-aid/guide-to-the-cased-photographs-collection-circa-1845-1875/
• Mark Campbell, Self-Instructor in the Art of Hair Work (1867): https://www.gutenberg.org/files/38658/38658-h/38658-h.htm
• FIT Fashion History Timeline: https://fashionhistory.fitnyc.edu/1840-1849/
• Victorian Web, women's hairstyles: https://victorianweb.org/art/costume/nunn10.html
• Shenandoah beard: https://en.wikipedia.org/wiki/Shenandoah_(beard)
• WVU Libraries, men's facial hair: https://news.lib.wvu.edu/2015/06/01/fashion-forward-mens-facial-hair-of-the-late-1800s/

Mocap

• Epic, MetaHuman animation from mono video: https://dev.epicgames.com/documentation/metahuman/metahuman-animation-from-mono-video-capture-in-unreal-engine
• Epic, MetaHuman Animator 01–03 and capture guidelines: https://dev.epicgames.com/documentation/metahuman/metahuman-animator-performance-capture-guidelines-in-unreal-engine
• CG Channel, free markerless plugin (June 2026): https://www.cgchannel.com/2026/06/get-the-free-metahuman-animator-markerless-mocap-plugin/
• Epic, IK Rig retargeting: https://dev.epicgames.com/documentation/unreal-engine/ik-rig-animation-retargeting-in-unreal-engine
• Rokoko Academy: https://www.rokoko.com/academy
• Movella/Xsens Live Link plugin: https://base.xsens.com/s/article/Xsens-Unreal-Live-Link-Plugin-UE5
• SAG-AFTRA 2025 Interactive Media Agreement: https://www.sagaftra.org/contracts-industry-resources/interactive/2025-interactive-media-video-game-agreement

AI mind and local inference

• LlamaIndex: https://docs.llamaindex.ai · LangChain RAG: https://python.langchain.com/docs/tutorials/rag/ · Haystack: https://docs.haystack.deepset.ai · pgvector: https://github.com/pgvector/pgvector
• Ragas: https://docs.ragas.io · DeepEval: https://deepeval.com/docs · promptfoo joins OpenAI ⚠️: https://www.promptfoo.dev/blog/promptfoo-joining-openai/
• NeMo Guardrails: https://github.com/NVIDIA-NeMo/Guardrails · Llama Guard 4: https://huggingface.co/meta-llama/Llama-Guard-4-12B
• faster-whisper: https://github.com/SYSTRAN/faster-whisper · whisper.cpp: https://github.com/ggml-org/whisper.cpp · Deepgram: https://developers.deepgram.com/docs/live-streaming-audio
• Kokoro-82M: https://huggingface.co/hexgrad/Kokoro-82M · Piper: https://github.com/OHF-Voice/piper1-gpl · XTTS licence issue: https://github.com/coqui-ai/TTS/issues/3490
• NVIDIA Audio2Face-3D: https://github.com/NVIDIA/Audio2Face-3D
• llama.cpp: https://github.com/ggml-org/llama.cpp · Ollama: https://ollama.com · LM Studio: https://lmstudio.ai · vLLM: https://docs.vllm.ai · TensorRT-LLM: https://github.com/NVIDIA/TensorRT-LLM · NIM: https://developer.nvidia.com/nim
• Qwen 3.6 / 3.8 ⚠️: https://qwen.ai/blog?id=qwen3.6-35b-a3b · https://github.com/QwenLM/Qwen3.8
• Gemma 4 model card: https://ai.google.dev/gemma/docs/core/model_card_4
• gpt-oss: https://github.com/openai/gpt-oss
• Mistral Small 4: https://huggingface.co/mistralai/Mistral-Small-4-119B-2603
• Meta Muse Glimmer ⚠️: https://venturebeat.com/technology/meta-returns-to-open-source-with-muse-glimmer-an-apache-2-0-licensed-30b-parameter-ai-model-optimized-for-agents-available-now
• RTX 5090 local LLM benchmarks (single blog) ⚠️: https://openclawdc.com/blog/best-local-llm-rtx-5090/
• SillyTavern: https://github.com/SillyTavern/SillyTavern · docs https://docs.sillytavern.app · remote-connection warning https://docs.sillytavern.app/usage/remoteconnections/ · World Info https://docs.sillytavern.app/usage/core-concepts/worldinfo/
• KoboldCpp: https://github.com/LostRuins/koboldcpp · text-generation-webui: https://github.com/oobabooga/text-generation-webui · Open WebUI licence: https://docs.openwebui.com/license/

Groom local tutorials (researched 2026-09-20)

• FIT Fashion History Timeline, 1830–1839: https://fashionhistory.fitnyc.edu/1830-1839/
• FIT Fashion History Timeline, 1840–1849: https://fashionhistory.fitnyc.edu/1840-1849/
• FIT Fashion History Timeline, 1850–1859: https://fashionhistory.fitnyc.edu/1850-1859/
• FIT Fashion History Timeline, 1860–1869: https://fashionhistory.fitnyc.edu/1860-1869/
• FIT Fashion History Timeline, 1870–1879: https://fashionhistory.fitnyc.edu/1870-1879/
• FIT Fashion History Timeline, 1880–1889: https://fashionhistory.fitnyc.edu/1880-1889/
• Victorian Web, women's hairstyles 1850–1900 (Joan Nunn, Fashion in Costume): https://victorianweb.org/art/costume/nunn10.html
• WVU Libraries, men's facial hair of the late 1800s: https://news.lib.wvu.edu/2015/06/01/fashion-forward-mens-facial-hair-of-the-late-1800s/
• DAR Museum, An Agreeable Tyrant, Quaker dress: https://agreeabletyrant.dar.org/gallery/1800-1810/quaker-dress/
• Nantucket Historical Association, Guide to the Cased Photographs Collection (PH169): https://nha.org/research/the-collections/finding-aid/guide-to-the-cased-photographs-collection-circa-1845-1875/
• Nantucket Historical Association, Daguerreotypes: The First Photographs: https://nha.org/research/nantucket-history/history-topics/daguerreotypes-first-photographs/
• Library of Congress, Daguerreotypes research guide: https://guides.loc.gov/american-women-prints-photographs/business-and-art/daguerreotypes
• Mark Campbell, Self-Instructor in the Art of Hair Work (1867): https://www.gutenberg.org/files/38658/38658-h/38658-h.htm
• Epic, MetaHuman Hair Overrides: https://dev.epicgames.com/documentation/metahuman/hair-overrides
• Epic, Groom Starter Kit: https://dev.epicgames.com/documentation/metahuman/groom-starter-kit
• Epic, Groom Exporter: https://dev.epicgames.com/documentation/metahuman/groom-exporter
• Epic, Tailoring Your Own Wardrobe Items: https://dev.epicgames.com/documentation/metahuman/tailoring-your-own-wardrobe-items
• Epic, Hair and Clothing Tools (Creator groom slots): https://dev.epicgames.com/documentation/metahuman/hair-and-clothing-tools
• Epic, Hair Overrides: https://dev.epicgames.com/documentation/metahuman/hair-overrides
• Epic, Hair Simulation and Rendering Quick Start (UE 5.8): https://dev.epicgames.com/documentation/en-us/unreal-engine/hair-simulation-and-rendering-quick-start-guide-in-unreal-engine
• Epic, Enabling Physics Simulation on Grooms: https://dev.epicgames.com/documentation/unreal-engine/enabling-physics-simulation-on-grooms-in-unreal-engine
• Autodesk, XGen Modifiers (Maya help): https://help.autodesk.com/cloudhelp/2023/ENU/Maya-CharEffEnvBuild/files/GUID-C1383446-2EA4-4E53-9FF3-5712EB720174.htm
• Autodesk, Clumping modifier options: https://help.autodesk.com/cloudhelp/2016/ENU/Maya/files/GUID-C3CDB895-8108-4A67-B96A-4EA306077D63.htm
• Autodesk, Shape and control spline primitives using XGen modifiers: https://help.autodesk.com/cloudhelp/2023/ENU/Maya-CharEffEnvBuild/files/GUID-ACEE094E-B37C-4463-8A4E-56096C68F9F3.htm
• Autodesk, Get started with XGen interactive grooming: https://help.autodesk.com/cloudhelp/2023/ENU/Maya-CharEffEnvBuild/files/GUID-D7F840A2-EA9F-4ED2-8799-1DC008ED1027.htm
• Epic, MetaHuman Assets Overview (groom components, LODs, baked short grooms): https://dev.epicgames.com/documentation/metahuman/assets-overview
• Epic, Hair Simulation and Rendering Quick Start: https://dev.epicgames.com/documentation/en-us/unreal-engine/hair-simulation-and-rendering-quick-start-guide-in-unreal-engine
• Epic, Groom Platform Support: https://dev.epicgames.com/documentation/unreal-engine/groom-platform-support-in-unreal-engine
• Wikipedia, Shenandoah (beard): https://en.wikipedia.org/wiki/Shenandoah_(beard)
• Nantucket Historical Association, Cased Photographs Collection (PH169): https://nha.org/research/the-collections/finding-aid/guide-to-the-cased-photographs-collection-circa-1845-1875/
• Epic, Hair Physics overview: https://dev.epicgames.com/documentation/unreal-engine/hair-physics-in-unreal-engine---overview
• Epic, Groom Components and Assets: https://dev.epicgames.com/documentation/unreal-engine/groom-components-and-assets-in-unreal-engine
• Autodesk, XGen Modifiers (Collision modifier): https://help.autodesk.com/cloudhelp/2023/ENU/Maya-CharEffEnvBuild/files/GUID-C1383446-2EA4-4E53-9FF3-5712EB720174.htm
• Victorian Web, women's hairstyles 1850–1900 (Nunn): https://victorianweb.org/art/costume/nunn10.html
• Epic, Setting Up Cards and Meshes for Grooms: https://dev.epicgames.com/documentation/unreal-engine/setting-up-cards-and-meshes-for-grooms-in-unreal-engine
• Epic, Hair Card Generator for Grooms: https://dev.epicgames.com/documentation/unreal-engine/hair-card-generator-for-grooms-in-unreal-engine
• Epic, Hair Card Generator in Dataflow: https://dev.epicgames.com/documentation/metahuman/hair-card-generator-in-dataflow-in-unreal-engine
• Epic, Groom Scalability and Performance: https://dev.epicgames.com/documentation/unreal-engine/groom-scalability-and-performance-with-unreal-engine
• Epic, Groom Asset Editor User Guide: https://dev.epicgames.com/documentation/en-us/unreal-engine/groom-asset-editor-user-guide-in-unreal-engine
• Epic, Controlling MetaHuman LODs in Unreal Engine: https://dev.epicgames.com/documentation/metahuman/controlling-metahuman-levels-of-detail-lods-in-unreal-engine
• Epic, MetaHuman Assets Overview: https://dev.epicgames.com/documentation/metahuman/assets-overview
• Epic, Unreal Engine 5.8 release notes: https://dev.epicgames.com/documentation/unreal-engine/unreal-engine-5-8-release-notes
• Tutorials: Tutorial — Period Hairstyles from Evidence · Tutorial — XGen Period Hair for MetaHuman · Tutorial — Period Facial Hair Grooms · Tutorial — Hair Under Caps and Bonnets · Tutorial — Hair Cards and Groom LODs for Headsets

Mocap local tutorials (researched 2026-09-20)

• Epic, MetaHuman Animator Performance Capture Guidelines: https://dev.epicgames.com/documentation/metahuman/metahuman-animator-performance-capture-guidelines-in-unreal-engine
• Epic, Capture Device Requirements: https://dev.epicgames.com/documentation/metahuman/metahuman-animator-capture-device-requirements
• Epic, Audio Capture Recommendations: https://dev.epicgames.com/documentation/en-us/metahuman/audio-capture-recommendations
• Epic, Calibration Takes: https://dev.epicgames.com/documentation/en-us/metahuman/calibration-takes
• Epic, Identity Take Guidelines: https://dev.epicgames.com/documentation/metahuman/metahuman-animator-identity-take-guidelines-in-unreal-engine
• Epic, Unreal Engine 5.8 release notes (Live Link Hub, Mocap Manager): https://dev.epicgames.com/documentation/unreal-engine/unreal-engine-5-8-release-notes
• Epic, Take Recorder: https://dev.epicgames.com/documentation/en-us/unreal-engine/take-recorder-in-unreal-engine
• Tentacle Sync, SYNC E manual: https://manuals.tentaclesync.com/en/sync-e-manual.html
• Rokoko, Degaussing your space: a guide to magnetic interference: https://support.rokoko.com/hc/en-us/articles/44474445861521-Degaussing-your-space-A-guide-to-magnetic-interference
• Epic Developer Community forum, Markerless Motion Capture plugin thread: https://forums.unrealengine.com/t/epic-games-metahuman-animator-markerless-motion-capture-plugin/2729293
• SAG-AFTRA, National Board approves Interactive Media Agreement: https://www.sagaftra.org/sag-aftra-national-board-approves-interactive-media-agreement
• Frankfurt Kurnit, Inside the new SAG-AFTRA Interactive Media Agreement: https://technologylaw.fkks.com/post/102mewu/inside-the-new-sag-aftra-interactive-media-agreement-new-standards-for-ai-and-di
• Veeam, 3-2-1 backup rule: https://www.veeam.com/blog/321-backup-rule.html
• Epic, MetaHuman Animation from Mono Video Capture: https://dev.epicgames.com/documentation/metahuman/metahuman-animation-from-mono-video-capture-in-unreal-engine
• Epic, MetaHuman Animator Video Capture Guidelines: https://dev.epicgames.com/documentation/metahuman/metahuman-animator-video-capture-guidelines-in-unreal-engine
• Epic, MetaHuman Animator 02 · Process and export your animation: https://dev.epicgames.com/documentation/metahuman/metahuman-animator-02-process-and-export-your-animation-in-unreal-engine
• Epic, MetaHuman 5.8 release notes: https://dev.epicgames.com/documentation/metahuman/metahuman-5-8-release-notes-in-unreal-engine
• Epic, Unreal Engine 5.8 release notes (Animation Mixer): https://dev.epicgames.com/documentation/unreal-engine/unreal-engine-5-8-release-notes
• CG Channel, Get the free MetaHuman Animator Markerless Motion Capture plugin: https://www.cgchannel.com/2026/06/get-the-free-metahuman-animator-markerless-mocap-plugin/
• Digital Production, MetaHuman gets markerless mocap: https://digitalproduction.com/2026/06/23/metahuman-gets-markerless-mocap/
• note.com (refsync), Steps to try markerless motion capture from video in UE5.8: https://note.com/refsync/n/n8c532fe5bcf0?hl=en
• Epic, Aim Offset (additive settings: Mesh Space, Selected animation frame): https://dev.epicgames.com/documentation/en-us/unreal-engine/aim-offset-in-unreal-engine
• Epic, Data Driven Gameplay Elements (Data Tables): https://dev.epicgames.com/documentation/en-us/unreal-engine/data-driven-gameplay-elements-in-unreal-engine
• Epic, Motion Matching: https://dev.epicgames.com/documentation/en-us/unreal-engine/motion-matching-in-unreal-engine
• Epic, Aim Offset (additive settings): https://dev.epicgames.com/documentation/en-us/unreal-engine/aim-offset-in-unreal-engine
• FIT Fashion History Timeline, 1840–1849: https://fashionhistory.fitnyc.edu/1840-1849/
• Historic Geneva, 19th-century corsets: https://historicgeneva.org/fashion-and-clothing/19th-century-corsets/
• Wikipedia, Testimony of equality: https://en.wikipedia.org/wiki/Testimony_of_equality
• Friends Journal, Looking at the Stars: Two Quaker Women Astronomers: https://www.friendsjournal.org/2001032/
• Project Gutenberg, Florence Hartley, The Ladies' Book of Etiquette, and Manual of Politeness (1860): https://www.gutenberg.org/files/35123/35123-h/35123-h.htm
• Wikipedia, The Columbian Orator: https://en.wikipedia.org/wiki/The_Columbian_Orator
• Internet Archive, Gilbert Austin, Chironomia (1806): https://archive.org/details/chironomiaoratr00austgoog
• Project Gutenberg, Narrative of the Life of Frederick Douglass (Garrison's preface): https://www.gutenberg.org/files/23/23-h/23-h.htm
• Wikipedia, François Delsarte: https://en.wikipedia.org/wiki/François_Delsarte
• PLOS ONE, Getting Your Sea Legs, PLOS ONE (2013): https://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0066949
• Nantucket Historical Association, Whaling Crew Diversity: https://nha.org/research/nantucket-history/history-topics/whaling-crew-diversity/
• Wikipedia, Absalom Boston: https://en.wikipedia.org/wiki/Absalom_Boston
• Tutorials: Tutorial — Running a Capture Day · Tutorial — Single-Camera Body Capture · Tutorial — Gesture Library and Tags · Tutorial — Capturing Idle Takes · Tutorial — Period Movement Coaching

AI Mind local tutorials (researched 2026-09-20)

• OWASP GenAI Security Project, LLM07:2025 System Prompt Leakage: https://genai.owasp.org/llmrisk/llm072025-system-prompt-leakage/
• NVIDIA, NeMo Guardrails (rail types): https://github.com/NVIDIA-NeMo/Guardrails
• Project Gutenberg, Maria Mitchell: Life, Letters, and Journals (#10202): https://www.gutenberg.org/ebooks/10202
• WorldCat, Kendall 1896 record (Lee and Shepard, Boston): https://search.worldcat.org/title/maria-mitchell-life-letters-and-journals/oclc/14904275
• TEI Consortium, Representation of Primary Sources: https://www.tei-c.org/release/doc/tei-p5-doc/en/html/PH.html
• TEI Consortium, Manuscript Description: https://www.tei-c.org/release/doc/tei-p5-doc/en/html/MS.html
• TEI Consortium, correspAction: https://www.tei-c.org/release/doc/tei-p5-doc/en/html/ref-correspAction.html
• TEI Consortium, TEI Lite: https://tei-c.org/release/doc/tei-p5-exemplars/html/tei_lite.doc.html
• M. J. Driscoll, Levels of transcription: https://tei-c.org/Vault/ETE/Preview/driscoll.html
• University of Hull, Archival skills — transcription: https://libguides.hull.ac.uk/archival-skills/transcription
• BGSU Libraries, Chicago style — manuscript collections: https://libguides.bgsu.edu/ChicagoStyle/manuscript
• Nantucket Historical Association, Notable Black Nantucketers: https://abolitiontosuffrage.nha.org/notable-black-nantucketers/
• Git, Tagging: https://git-scm.com/book/en/v2/Git-Basics-Tagging
• pgvector, README (HNSW, filtering, hybrid search): https://github.com/pgvector/pgvector
• PostgreSQL 18, Controlling Text Search: https://www.postgresql.org/docs/current/textsearch-controls.html
• Cormack, Clarke, Büttcher, Reciprocal Rank Fusion (SIGIR 2009): https://cormack.uwaterloo.ca/cormacksigir09-rrf.pdf
• Supabase, Hybrid search: https://supabase.com/docs/guides/ai/hybrid-search
• Databricks, Chunking strategies for RAG: https://community.databricks.com/t5/technical-blog/the-ultimate-guide-to-chunking-strategies-for-rag-applications/ba-p/113089
• LlamaIndex, CitationQueryEngine: https://developers.llamaindex.ai/python/examples/query_engine/citation_query_engine/
• LlamaIndex, vector store filters API: https://developers.llamaindex.ai/python/framework-api-reference/storage/vector_store/
• Haystack, pgvector integration: https://haystack.deepset.ai/integrations/pgvector-documentstore
• Haystack, DocumentJoiner: https://docs.haystack.deepset.ai/docs/documentjoiner
• Haystack, Metadata filtering: https://docs.haystack.deepset.ai/docs/metadata-filtering
• Qwen, Qwen3-Embedding-0.6B: https://huggingface.co/Qwen/Qwen3-Embedding-0.6B
• Nomic, nomic-embed-text-v1.5: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5
• BAAI, bge-m3: https://huggingface.co/BAAI/bge-m3
• Hugging Face, Text Embeddings Inference supported models: https://huggingface.co/docs/text-embeddings-inference/en/supported_models
• Anthropic, Prompting best practices: https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/claude-prompting-best-practices
• OpenAI, Prompt engineering (Identity, Instructions, Examples, Context): https://developers.openai.com/api/docs/guides/prompt-engineering
• Google, Gemini prompt design strategies: https://ai.google.dev/gemini-api/docs/prompting-strategies
• Peter Lasersohn, Quaker Historical Lexicon, Nominative "thee": https://quakerlexicon.wordpress.com/2010/02/04/nominative-thee/
• Project Gutenberg, Kendall, Maria Mitchell: Life, Letters, and Journals: https://www.gutenberg.org/ebooks/10202
• NVIDIA, NeMo Guardrails repository (Apache 2.0, rail types): https://github.com/NVIDIA-NeMo/Guardrails
• NVIDIA, Colang 2 input rails: https://docs.nvidia.com/nemo/guardrails/configure-guardrails/colang/colang-2/getting-started/input-rails
• NVIDIA, Output rails (Colang 1 tutorial): https://docs.nvidia.com/nemo/guardrails/configure-guardrails/colang/colang-1/tutorials/5-output-rails
• NVIDIA, Topical rails: https://docs.nvidia.com/nemo/guardrails/getting_started/6_topical_rails/README.html
• NVIDIA, Guardrails configuration: https://docs.nvidia.com/nemo/guardrails/configure-guardrails/yaml-schema/guardrails-configuration
• NVIDIA, Llama Guard integration: https://docs.nvidia.com/nemo/guardrails/configure-guardrails/guardrail-catalog/third-party/llama-guard
• Meta, Llama Guard 4 12B: https://huggingface.co/meta-llama/Llama-Guard-4-12B
• Meta, Llama Prompt Guard 2 86M: https://huggingface.co/meta-llama/Llama-Prompt-Guard-2-86M
• OWASP GenAI Security Project, LLM01:2025 Prompt Injection: https://genai.owasp.org/llmrisk/llm01-prompt-injection/
• Ragas, Available metrics: https://docs.ragas.io/en/stable/concepts/metrics/available_metrics/
• Ragas, Faithfulness: https://docs.ragas.io/en/stable/concepts/metrics/available_metrics/faithfulness/
• Ragas, Context precision: https://docs.ragas.io/en/stable/concepts/metrics/available_metrics/context_precision/
• Ragas, Context recall: https://docs.ragas.io/en/stable/concepts/metrics/available_metrics/context_recall/
• Ragas, Response relevancy: https://docs.ragas.io/en/stable/concepts/metrics/available_metrics/answer_relevance/
• Confident AI, DeepEval getting started: https://deepeval.com/docs/getting-started
• Confident AI, DeepTeam: https://github.com/confident-ai/deepteam
• NIST, AI 600-1 Generative AI Profile (July 2024): https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.600-1.pdf
• Sentence Transformers, Semantic search: https://sbert.net/examples/sentence_transformer/applications/semantic-search/README.html
• SYSTRAN, faster-whisper: https://github.com/SYSTRAN/faster-whisper
• SYSTRAN, faster-whisper transcribe.py (hotwords, initial_prompt, VAD options): https://raw.githubusercontent.com/SYSTRAN/faster-whisper/master/faster_whisper/transcribe.py
• Collabora, WhisperLive: https://github.com/collabora/WhisperLive
• ggml-org, whisper.cpp: https://github.com/ggml-org/whisper.cpp
• Silero, Silero VAD: https://github.com/snakers4/silero-vad
• Deepgram, Nova-3 multilingual keyterm prompting: https://deepgram.com/learn/deepgram-expands-nova-3-with-10-new-languages-and-multilingual-keyterm-prompting
• Vapi, Deepgram keywords and keyterm prompting: https://docs.vapi.ai/customization/custom-keywords
• AssemblyAI, Keyterms prompting (streaming): https://www.assemblyai.com/docs/speech-to-text/universal-streaming/keyterms-prompting
• arXiv, Kid-Whisper: Towards Bridging the Performance Gap in ASR for Children vs Adults (2309.07927): https://arxiv.org/html/2309.07927
• Andrea Electronics, Information kiosk microphones: https://andreaelectronics.com/information-kiosk-microphones/
• OpenSLR, MUSAN corpus: https://www.openslr.org/17/
• jiwer, usage: https://jitsi.github.io/jiwer/usage/
• ElevenLabs, Stream speech API: https://elevenlabs.io/docs/api-reference/text-to-speech/stream
• ElevenLabs, WebSocket stream-input: https://elevenlabs.io/docs/api-reference/text-to-speech/v-1-text-to-speech-voice-id-stream-input
• ElevenLabs, Models: https://elevenlabs.io/docs/overview/models
• ElevenLabs, Latency optimisation: https://elevenlabs.io/docs/eleven-api/guides/how-to/best-practices/latency-optimization
• ElevenLabs, Using pronunciation dictionaries: https://elevenlabs.io/docs/eleven-api/guides/how-to/text-to-speech/pronunciation-dictionaries
• ElevenLabs, Can I create a Professional Voice Clone of someone else's voice?: https://elevenlabs.io/docs/help-center/product/voice-customization/voice-cloning/can-i-create-a-professional-voice-clone-of-someone-elses-voice
• ElevenLabs, Audio detector: https://elevenlabs.io/docs/eleven-creative/audio-tools/audio-detector
• ElevenLabs, Zero Retention Mode (Enterprise): https://elevenlabs.io/docs/eleven-api/resources/zero-retention-mode
• hexgrad, Kokoro-82M: https://huggingface.co/hexgrad/Kokoro-82M
• OHF-Voice, Piper: https://github.com/OHF-Voice/piper1-gpl
• Anthropic, API and data retention: https://platform.claude.com/docs/en/manage-claude/api-and-data-retention
• Anthropic Privacy Center, How long do you store my organization's data?: https://privacy.claude.com/en/articles/7996866-how-long-do-you-store-my-organization-s-data
• Anthropic Help Center, Guidelines for organizations serving minors: https://support.claude.com/en/articles/9307344-responsible-use-of-anthropic-s-models-guidelines-for-organizations-serving-minors
• OpenAI, Data controls in the OpenAI platform: https://developers.openai.com/api/docs/guides/your-data
• OpenAI, Under 18 API guidance: https://developers.openai.com/api/docs/guides/safety-checks/under-18-api-guidance
• Google, Zero data retention in the Gemini Developer API: https://ai.google.dev/gemini-api/docs/zdr
• Google, Gemini API data logging and sharing: https://ai.google.dev/gemini-api/docs/logs-policy
• Google, Gemini API additional terms of service: https://ai.google.dev/gemini-api/terms
• Ollama, OpenAI compatibility: https://docs.ollama.com/api/openai-compatibility
• Ollama, Structured outputs: https://docs.ollama.com/capabilities/structured-outputs
• Ollama, Embeddings: https://docs.ollama.com/capabilities/embeddings
• Ollama, FAQ: https://docs.ollama.com/faq
• ggml-org, llama.cpp server README: https://github.com/ggml-org/llama.cpp/blob/master/tools/server/README.md
• vLLM, Engine arguments (v0.6.4): https://docs.vllm.ai/en/v0.6.4/models/engine_args.html
• LM Studio, OpenAI compatibility: https://lmstudio.ai/docs/developer/openai-compat
• arXiv, Which Quantization Should I Use? (2601.14277): https://arxiv.org/html/2601.14277v1
• ggml-org, whisper.cpp (model memory): https://github.com/ggml-org/whisper.cpp
• SillyTavern, GitHub repository (AGPL-3.0; Node.js 20+; release branch): https://github.com/SillyTavern/SillyTavern
• SillyTavern Docs, Installation: https://docs.sillytavern.app/installation/
• SillyTavern Docs, Remote connections (security warnings): https://docs.sillytavern.app/usage/remoteconnections/
• SillyTavern Docs, API connections: https://docs.sillytavern.app/usage/api-connections/
• SillyTavern Docs, Character design: https://docs.sillytavern.app/usage/core-concepts/characterdesign/
• SillyTavern Docs, World Info: https://docs.sillytavern.app/usage/core-concepts/worldinfo/
• LostRuins, KoboldCpp: https://github.com/LostRuins/koboldcpp
• Ollama, FAQ (default address 127.0.0.1:11434): https://docs.ollama.com/faq
• FastAPI, Security intro: https://fastapi.tiangolo.com/tutorial/security/
• Metabase, GitHub repository: https://github.com/metabase/metabase
• Grafana, GitHub repository: https://github.com/grafana/grafana
• FTC, COPPA Rule final amendments (Federal Register, 22 April 2025): https://www.federalregister.gov/documents/2025/04/22/2025-05904/childrens-online-privacy-protection-rule
• Gibson Dunn, FTC updates to the COPPA Rule: https://www.gibsondunn.com/ftc-updates-to-coppa-rule-impose-new-compliance-obligations-for-online-services-that-collect-data-from-children/
• Fenwick, What the amended COPPA Rule means for data retention: https://www.fenwick.com/insights/publications/what-the-amended-coppa-rule-means-for-data-retention-practices
• Keller and Heckman, FTC guidance on voice recordings under COPPA: https://www.khlaw.com/insights/ftc-releases-guidance-voice-recordings-under-coppa
• US Department of Education, Responsibilities of third-party service providers under FERPA: https://studentprivacy.ed.gov/sites/default/files/resource_document/file/Vendor FAQ.pdf
• Dedham Public Schools, Student data privacy (MSPA): https://sites.google.com/dedham.k12.ma.us/dpset/student-data-privacy
• Cornell LII, 201 CMR 17.02 definitions: https://www.law.cornell.edu/regulations/massachusetts/201-CMR-17-02
• Mass.gov, 201 CMR 17.00: https://www.mass.gov/regulations/201-CMR-1700-standards-for-the-protection-of-personal-information-of-residents-of-the-commonwealth
• Massachusetts Legislature, Consumer Data Privacy Act (House, June 2026): https://malegislature.gov/PressRoom/Detail?pressReleaseId=1396
• Digital Media Law Project, Massachusetts recording law: https://www.dmlp.org/legal-guide/massachusetts-recording-law
• Justia, Illinois BIPA 740 ILCS 14: https://law.justia.com/codes/illinois/chapter-740/act-740-ilcs-14/
• Deepgram, Model Improvement Partnership Program: https://developers.deepgram.com/docs/the-deepgram-model-improvement-partnership-program
• AssemblyAI, Data retention and model training: https://assemblyai.com/docs/faq/does-assemblyai-offer-zero-data-retention
• ElevenLabs, Zero Retention Mode: https://elevenlabs.io/docs/eleven-api/resources/zero-retention-mode
• Tutorials: Tutorial — How the Mind Works · Tutorial — Building a Figure's Corpus · Tutorial — Retrieval with Citations · Tutorial — Writing a Persona for a Historical Figure · Tutorial — Policy Layer with Guardrails · Tutorial — Evaluating Answers · Tutorial — Authored Answers for Top Questions · Tutorial — Speech In · Tutorial — Speech Out · Tutorial — Choosing Cloud or Local Models · Tutorial — Local Inference for Offline Venues · Tutorial — Persona Sandbox with SillyTavern · Tutorial — Staff Dashboard · Tutorial — Privacy and Logging

Used by: Unreal — Tutorials · Grooms — Tutorials · Mocap — Tutorials · AI Mind — Tutorials