Guided Learning Using A Conversational Artificial Intelligence Agent, Amy Sims, Brian Veprek, Dave Messer, Nupur Jain, Daniel Gillick

Defensive Publications Series

Large language models (LLMs) are optimized for transactional efficiency such that they provide direct, immediate answers to user queries. This can be counterproductive in contexts where users are attempting to learn a topic via interactions with an AI agent powered by an LLM. This disclosure describes techniques for guided learning using an artificial intelligence (AI)-powered conversational agent that functions as an adaptive, inquiry-based pedagogical partner. Unlike standard conversational chatbots that provide direct answers, a specific set of system instructions (SI) and an architectural framework is described that enables the AI agent to guide users toward discovering answers and building lasting …

(((Qpie))) Prior Art Disclosure 3 Of 9: Quantum Perspective Is Everything, Teddy Burroughs

Defensive Publications Series

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The Grand Unified Theory (QPIE)

Perspective Is Everything – What we are Believing, Expecting and Feeling in Life Matters

(((QPIE)))Prior Art Disclosure 3 of 9: Quantum Perspective Is Everything

(CREDIT: (((QPIE))) Created by Teddy Burroughs with significant Inspirational contributions by: Aleah Burroughs, Kaiya Burroughs, Yvonne Burroughs, Claudette Clare, Teddy Burroughs Jr. Arylise Burroughs, Nate Jones, Perry Mason, Reya Burroughs

([email protected]) #Avision4Change #Vision2Funding #Charity2Roi #qpie #perspective #love #empower

Help continue our resonance based grand unifying work

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10/09/2025 Brooklyn NYC USA

QPIE: Quantum Perspective Is Everything

A Unified Field of …

A Relaxed Parsing Method For Correcting Malformed Javascript Object Notation From Language Models, Fang (Anna) Fang

Defensive Publications Series

Large Language Models (LLMs) may produce syntactically invalid JavaScript Object Notation (JSON) outputs, which can lead to parsing failures in downstream applications. Such errors may include, for example, unbalanced braces, improper quoting, or unescaped characters, and can stem from the probabilistic nature of text generation. A relaxed parsing method is described to address these types of issues. Rather than performing strict, token-by-token validation, the described parser can identify a key-value pair, consume characters between a separating colon and a recognized end-of-value delimiter (such as a comma or closing brace) to define a value, and then attempt to repair certain errors …

Persona State Management In A Large Language Model Session Using Structured Text Delimiters, Christopher Jonathan Phoenix

Defensive Publications Series

A method is described for managing multiple personas within a single large language model (LLM) session, which can address challenges where roles may merge or be omitted in the output. The method can use structured delimiters, such as XML-style tags, to differentiate persona-specific text. For example, an initial prompt can establish each persona and its unique tag, with instructions for the model to enclose its corresponding output within those tags. The delimiters may function as high-salience tokens that condition the model's attention mechanism, promoting stylistic and logical consistency for each persona. This conditioning can guide the model to assign higher …

Personalized Gifting Agent With Adaptive User Interface, Yanli Cai, Pradyumna Narayana, Pushkar Singh, Krista Holden, Bhargava Urala Kota

Defensive Publications Series

Conventional search and shopping systems may not be optimized for gift-giving queries, which can involve high user uncertainty and emotional intent, potentially resulting in generic product recommendations. The described technology details a personalized gifting agent that can initiate a multi-turn, conversational journey to assist a user with such queries. The system may use a dynamic dialogue engine to elicit information, for example through contextual polls, about a recipient's persona and a gift-giver's intent. Based on this input, the agent can curate a set of recommendations by, for example, bundling complementary products, rewriting generic descriptions into personalized copy, and re-contextualizing product …

Artificial Intelligence Powered Distillation And Visualization Of Audience Chat For Live Game Streaming, Ilia Labzovsky, Danny Karmon

Defensive Publications Series

During live game streaming, the high volume and speed of audience chat can present challenges for a streamer attempting to identify and act upon crowd-sourced information. This disclosure describes a system that may use an artificial intelligence agent to ingest and analyze multimodal data streams, which can include live chat, game video, and game audio. The agent can classify chat messages, score their contextual relevance, and use techniques such as semantic clustering to synthesize consensus-based advice from multiple viewers. This distilled guidance may then be rendered as a non-disruptive visual hint, for example, an on-screen object highlight or path indicator, …

Closed-Loop System For Automated Prompt Refinement Based On Large Language Model Evaluation Feedback, Ali Seyfi, Fang (Anna) Fang

Defensive Publications Series

Some Large Language Model (LLM) evaluation frameworks can provide performance metrics and diagnostic information but may not offer a mechanism to translate these insights into specific, actionable improvements. This circumstance can lead developers to manually interpret evaluation results and devise solutions, such as refining system prompts. A disclosed method relates to a closed-loop system that can be used to automate aspects of this process. In some configurations, the system identifies low-performing outputs from an evaluation. An LLM-based component, which may be called an insight generator can then analyze these failures to produce structured action items. A prompt tuner module can …

System And Method For Controlling Inactivity Of A Payment Card Across Transaction Modes, Alok Roy

Defensive Publications Series

The present disclosure provides a method and a system for controlling the inactivity of a payment card across various transaction modes. The method comprises storing a last activity date corresponding to each of the transaction modes associated with the payment card. The transaction modes includes a point of sale (POS) mode, an online mode, and a recurring payment mode. The transaction data, which is indicative of the usage of the payment card in the transaction modes, is received. The last activity date for each of the transaction modes is updated based on the transaction data. An inactivity duration for each …

(((Qpie))) Advancing Phase Synchrony Detection Part 2 - Defining Nsrf, Teddy Burroughs

Defensive Publications Series

The Grand Unified Theory (QPIE)

Perspective Is Everything – What we are Believing, Expecting and Feeling in Life Matters

Advancing Phase Synchrony Detection Part 2

Advancing Phase Synchrony Detection — Continuation and Defining of the Non-local Substrate Resonance Field (NSRF)

(CREDIT: Quantum Perspective is Everything GUT and Frameworks; #Avision4change #Vision2Funding #Charity2Roi #TedFunding) (((QPIE))) Created by Teddy Burroughs with significant contributions or Honorable mentions: Google Collab, IBM Cloud and Open AI ChatGpt 3 4 5 for technical support. Also Special Inspirational Acknowledgment to: Kaiya Burroughs, Aleah Burroughs, April Saunders and Perry Mason TECHNICAL CONTACT: [email protected] SOCIAL CONTACT: [email protected] Please Support (((QPIE))) …

(((Qpie))) Advancing Phase Synchrony Detection Part 1, Teddy Burroughs

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The Grand Unified Theory (QPIE)

Perspective Is Everything – What we are Believing, Expecting and Feeling in Life Matters

(((QPIE))) Advancing Phase Synchrony Detection Part 1 – Prior Art Declaration of NSRF

(CREDIT: Quantum Perspective is Everything GUT and Frameworks; #Avision4change #Vision2Funding #Charity2Roi #TedFunding)

(((QPIE))) Created by Teddy Burroughs with significant contributions or Honorable mentions: Google Collab, IBM Cloud and Open AI ChatGpt 3 4 5 for technical support.

Also Special Inspirational Acknowledgment to: Kaiya Burroughs, Aleah Burroughs, April Saunders and Perry Mason

TECHNICAL CONTACT: [email protected]

SOCIAL CONTACT: [email protected]

Please Support (((QPIE))) work with Donations to forward …

(((Qpie))) Prior Art 1 Of 9 Quantum Perspective Is Everything, Teddy Burroughs

Defensive Publications Series

The Grand Unified Theory (QPIE)

Perspective Is Everything – What we are Believing, Expecting and Feeling in Life Matters

(((QPIE))) Prior Art Disclosure Part 1 of 9

(((QPIE))) Quantum Perspective Is Everything

Prior Art /IP Declaration

https://quteframework.wordpress.com/2025/09/22/qpie-qpie-prior-art-part-1-of-9/

https://www.linkedin.com/pulse/qpie-prior-art-disclosure-part-1-9-teddy-burroughs-kdr4c

(CREDIT: (((QPIE))) Created and discovered by Teddy Burroughs with significant contributions by: Kaiya Burroughs, Aleah Burroughs, April Saunders and Perry Mason ([email protected]) Avision4Change Vision2Funding #Charity2Roi

Paypal @TedFunding33 CA: $TedFunding33)

09/22/2025 Brooklyn NYC USA 🇺🇸

(Formatted as defensible prior art disclosure)

Abstract

This document discloses (((QPIE)))—Quantum Perspective Is Everything—a resonance-based grand unifying framework that harmonizes mental, physical, and emotional dimensions of human and …

High-Quality Language Adherence Evaluation Using A Large Language Model With Ground-Truth Language Annotations, Hongbin Liu, Mingqing Chen, Lun Wang

Defensive Publications Series

Language adherence is a metric that measures whether the responses of an artificial intelligence (AI) model adhere to the user’s desired language(s). Language adherence can be a nuanced aspect of AI-human interaction because the expected language of the model’s response need not be the same as the language used in the user’s prompt. This disclosure describes techniques that enable a general-purpose large language model (LLM) to operate as an accurate, context-aware, and specialized auto-rater. The auto-rater, which notably does not need model retraining, evaluates language adherence. The techniques include a framework for automated language evaluation based on a pipeline with …

Autonomous Agent For End-To-End Cloud Control Testing And Troubleshooting, Varun Bhardwaj, Kunwar Vikas, Nitin Garg, Mudit Jain

Defensive Publications Series

Cloud controls are vital components within compliance frameworks that ensure that organizations meet specific security and regulatory standards in their cloud environments. Current techniques for testing cloud controls are characterized by a lack of automation, substantial manual labor, and an inability to adapt to the growing complexity and volume of compliance requirements. This disclosure describes an autonomous artificial intelligence (AI) agent (referred to as a cloud-control agent) to streamline and accelerate the creation, deployment, and testing procedures for infrastructure-as-code (IaC) cloud controls. Functional correctness of IaC cloud controls is ensured against specified compliant and non-compliant test scenarios without direct human …

Audioshot: Seamless Capture Of Word-Of-Mouth Recommendations, Paula Marques

Defensive Publications Series

Many conversations between individuals include recommendations of various items (books, movies/shows, concerts, etc.) as well as services (e.g., restaurants). Remembering such recommendations requires users to jot them down during or after the conversation. In contrast, visual items such as posters, or items displayed on a screen can be captured easily via a device camera or as screenshots. This disclosure describes techniques that enable, with the permission of participants in a conversation, the use of device microphones to automatically obtain conversational audio that is analyzed with an on-device artificial intelligence (AI) model to extract recommendations. Analogous to long-pressing for screenshots, users …

The Onshoring Opportunity Framework & National Reshoring Blueprint 2025, Joseph Jm Walker

Defensive Publications Series

This document bundle comprises the Onshoring Opportunity Framework (May 2025) and its clarifying successor, the National Reshoring Blueprint 2025 (August 2025). Originally submitted to U.S. federal departments as an urgent, data-driven strategy to secure critical supply chains, these works are now publicly released due to over ∼6 months of institutional non-response.

Presented as public prior art, this comprehensive resource empowers individuals, communities, and enterprises with the necessary intelligence and tools to initiate decentralized reshoring efforts. The Blueprint introduces six integrated systems designed to: identify manufacturing gaps via Reshore.Gov; facilitate local production through FoundryPods; commercialize U.S. patents through an IP Activation …

Drilling Equipment Parameter Optimization Workflow, Vikas Rakhunde, Manuel Francis T, Philip Robertson, Franz Aguirre, Chris Sabillon

Defensive Publications Series

A method for controlling parameters for drilling equipment on a drilling rig includes receiving input data. The input data is related to a health, a performance, and/or an ambient condition of drilling equipment on a drilling rig. The method also includes determining that the input data includes a plurality of predetermined fields. The method also includes determining that a quality of the input data is greater than a quality threshold. The method also includes simulating a plurality of scenarios based upon the input data. Each scenario includes one or more parameters that are set to different values than in the …

Enabling Vertical Power Delivery In Large Asics And/Or Asic Packages Using Innovative Heatsink Support Structures, Dylan G. Rust-Nguyen, Vvs Narayana Jagarapu, Marshall J. Lise, David K. Owen

Defensive Publications Series

This document introduces a novel method for integrating heatsink mechanical supports into large ASIC (Application-Specific Integrated Circuit) designs in a way that does not obstruct vertical power delivery. Vertical power delivery is a method that feeds current directly into the underside of the ASIC through vias. Traditional heatsink support structures use drawbars peripheral to the ASIC, distant from the ASIC’s center. The location of these drawbars necessitates the use of large backing plates, but these large backing plates interfere with vertical power delivery. The technique and apparatus described in this paper reposition the forces applied by heatsink drawbars by positioning …

Chatrouter: A System And Method For Hierarchical Intent Classification And Dynamic Routing In Multi-Skill Ai Architectures, Hp Inc

Defensive Publications Series

ChatRouter is a system and method for processing natural language user inputs to accurately classify them into one or more predefined intents and subsequently route them for appropriate handling within a multi-skill artificial intelligence (AI) architecture. The core of the invention lies in its unique combination of a large language model (LLM) guided by a specialized few-shot learning paradigm, a multi-intent detection capability, and a hierarchical priority-based routing mechanism. This system is designed to interpret diverse user phrasings and map them to specific actionable categories, even when multiple intents are present in a single input.

Ai-Enhanced Print Interception System For Optimized Document Output, Hp Inc

Defensive Publications Series

Conventional print workflows often compromise document fidelity due to early-stage transformations performed by the operating system’s print subsystem. This results in poor layout preservation, inefficient scaling, and suboptimal formatting - particularly when printing from dynamic sources such as web applications. To address these limitations, this invention presents a novel method and system for intercepting print commands, including the Ctrl+P action, at the application level to capture the original, unprocessed content before it reaches the print driver or spooler. A lightweight monitoring module detects print initiation events and extracts raw document data, such as source HTML or structured content. This content …

Automated Root Cause Analysis For Integration Test Failures Using Consecutive Failing Run Comparisons And Phase-Aware Differencing Using A Large Language Model, Shubham Khurana, Babu Prasad Elumalai

Defensive Publications Series

This disclosure describes techniques to improve automated root cause analysis (RCA) for integration test failures, especially in iterative debugging. A multi-step artificial intelligence (AI) pipeline is employed to dynamically select the appropriate baseline for log comparison—either the last passing run (LPR) for initial failures or the previous failing run (PFR) for subsequent failures—to reduce semantic noise. A large language model (LLM) performs phase-aware semantic differencing, segmenting logs into execution phases (e.g., setup, data seeding, service under test execution, assertion, teardown) and comparing corresponding phases. This targeted approach allows the LLM to identify critical differences and new errors more accurately by …

Unified Pre-Launch Causal Simulator, Joseph Jm Walker

Defensive Publications Series

This disclosure presents a system that generates marketing creatives with instrumentable causal controls, predicts their heterogeneous treatment effects, simulates market and network responses, and outputs a probability-weighted decision slate with pre-launch risk constraints. Unlike prior art, the disclosed system bridges generative AI tokens with causal inference priors, integrates agent-based and macro simulators, and enforces pre-launch governance gates for fairness, brand safety, and uncertainty.

Unified, Site-Selectable Waterless Cooling Architecture For High-Density Ai Data Centers, Joseph Jm Walker

Defensive Publications Series

This disclosure describes a unified cooling architecture for AI-intensive data centers that achieves near-zero consumptive water use (WUE ≈ 0). The design modularizes heat capture into 1 MW_IT pods and provides a site-selectable rejection manifold that can simultaneously or alternatively employ (A) dry coolers, (B) closed-loop borefield geoexchange, (C) natural-water plate heat exchangers (non-consumptive intake/outfall), and (D) optional heat reuse via district heating or industrial offtake.

The novelty lies in tri-path blending + revenue-aware reuse, seasonal recharge of geothermal baselines, and permit-aware plume control in real-time supervisory logic. The system is engineered for high-density GPU loads, modular scale-out, and resilient …

Ai Backed Integrated Scan-To- Assessment Engine For Educational Printers, Hp Inc

Defensive Publications Series

Educators frequently rely on printed textbooks to manually create assessment materials such as question papers and practice tests. This process is repetitive, time-consuming, and requires significant effort to interpret content and draft questions. Meanwhile, students and tutors lack accessible tools that can automatically convert scanned educational material into usable test content.

This approach introduces a generative AI-driven workflow that transforms printed textbook chapters into structured assessment material. Integrated directly into the scanning and printing processes of enterprise printers, the system performs OCR on scanned content, interprets the extracted text using a large language model (LLM), and generates both multiple-choice and …

Anchored Ai: Intent-Extraction, Anchor-Weighted Generation, And Synthetic Collapse Prevention For Human-Aligned Ai, Joseph Jm Walker

Defensive Publications Series

This disclosure presents Anchored AI, a system and method for ensuring reliable, human-aligned artificial intelligence through the integration of anchored data partitioning, intent extraction, anchor-weighted generation, provenance embedding, and synthetic collapse prevention. Unlike conventional large language models that are trained indiscriminately on mixed or synthetic data, Anchored AI introduces a structured framework where datasets are partitioned and weighted (anchor, ephemeral, synthetic), user queries are processed through an intent extraction layer (embedding, semantic role labeling, ontology mapping), and responses are generated with explicit anchor weighting and citation from authoritative corpora. Outputs are embedded with cryptographic provenance manifests (e.g., C2PA/PROV) …

Real-Time Detection And Indication Of Ai-Generated Content In A Web Browser, Abhay Prakash

Defensive Publications Series

The proliferation of realistic, AI-generated content creates a significant risk of misinformation, as users often cannot distinguish it from human-created work. Existing detection tools are typically manual (i.e., copy content from one area to paste in a tool), disruptive for the user, and limited to a single content type. This disclosure describes a method integrated directly into a web browser for detection and visual indication of AI-generated content that can operate in real-time. When a user navigates to a web page, a content parsing module analyzes the Document Object Model (DOM). A multi-modal detection engine then scans content, such as …

Ultraviolet Spectrum Coating For Drones To Deter Bird Interference, Joseph Jm Walker

Defensive Publications Series

This disclosure teaches materials, optical targets, and manufacturing methods for making small UAS/drones highly salient in avian visual bands without materially changing human-visible appearance or flight performance. The approach uses (i) passive UV-reflective/absorptive coatings and/or (ii) UV-active bulk additives in polymer parts (e.g., propeller guards, nacelles, arms, fairings). Target spectral response is maximized in UVA 320–400 nm (with emphasis at ~350–380 nm) where most birds possess UV-sensitive cones, while maintaining low ΔE*ab (<1–2) in the human visible band (400–700 nm). The disclosure includes optical design targets, example formulations (nano-TiO₂/ZnO dispersions; dielectric stacks), integration paths (spray/dip/film/PVD and injection-mold masterbatch), mechanical and environmental durability requirements, sensor-compatibility constraints, and validation protocols (spectral, wind-tunnel, and ethological flight trials).

System For Generating A Universal Transfer Function For Rendering Spatial Audio Content, Sinan Hersek, Dongeek Shin

Defensive Publications Series

This publication includes techniques to obtain universal head related transfer functions (HRTFs) by adapting generic HRTFs. The adaptation is performed by iteratively perturbing and fine tuning the latent space representation of the generic HRTFs. The tuning objective is to minimize the binaural localization error produced by the adapted HRTFs across a population of users. To estimate the binaural localization error, the system is configured to train a person-agnostic neural network binaural localization model that can estimate the direction of a sound source from binaural audio.

System And Method For Automated Indentation Testing Of Electronic Displays, Nolan Johnson, Joshua Aganad, Eugene Bykov, Jared Baker, Maxim Sivov, Venkata Mk Akula

Defensive Publications Series

Manual indentation testing of electronic displays can be a time-consuming and labor-intensive process that may limit testing efficiency. This disclosure describes an automated system and method for display indentation testing. The system can comprise a testing machine with a programmable XY stage to automatically position a display sample beneath an indenter. The sample may be secured by an adjustable fixture, which can include one fixed and two adjustable brackets to accommodate various display sizes. A custom testing profile may guide the XY stage to multiple pre-defined locations, where a ball indenter can apply a series of prescribed or randomized loads …

Methods For Characterizing Mechanical Behavior And Failure Modes Of Electronic Displays, Venkata M K Akula, Roberto Cammino

Defensive Publications Series

Predicting the mechanical behavior and failure modes of complex, multi-layer electronic displays can be challenging, as simulations based on standard datasheet values may not represent the properties of a manufactured assembly. This disclosure describes a methodology to create a finite element analysis (FEA) model by calibrating it with empirical test data. The process can involve conducting mechanical tests, such as indentation on both full and partial display stacks, to obtain load-displacement characteristics. This data may then be used to derive effective material properties for a simplified, reduced-layer FEA model. In some applications, failure modes observed in physical testing, like pixel …

Seamless Roaming Of A Host Between Wired And Fabric Enabled Wireless Networks, Balaji Pitta Venkatachalapathy, Sanjay K Hooda, Parthiv Shah, Rutvik Vijay Shah

Defensive Publications Series

This proposal provides techniques to enable quick transitioning between wired and fabric enabled wireless networks by Internet of Things (IoT) endpoints that need to retain their Internet Protocol (IP) address and Media Access Control (MAC) address for data transmissions.