Digital Commons Network^™

Task-As-Hub Coordination For A Mixed Human/Ai-Agent Workforce, Gustavo Matthew Assuncao

Defensive Publications Series

A modern software organization increasingly runs a mixed workforce: human employees alongside a fleet of autonomous AI agents ("personas") that are asked to do work, do it, and report findings — concurrently, around the clock. Two structural failures recur. First, teams adopt the version-control branch as the implicit unit of work ownership. A branch, however, models file isolation, not work ownership: it does not represent assignment, lifecycle, blockage, priority, or effort, and when many agents operate on one shared repository, branch identity provides no mechanism to arbitrate who holds a unit of work, producing collisions, lost commits, and stomped working …

Capability-Scoped Task Envelopes With Reserved-File Token Broker For Concurrent Ai Coding Agents, Gustavo Matthew Assuncao

Defensive Publications Series

When several heterogeneous AI code-generation agents write to one shared repository concurrently, branch isolation plus post-hoc merge does not bound per-agent scope and does not prevent reserved-file races on a small set of high-blast-radius files. This publication describes a method that addresses both failures with one coherent mechanism.

A planner classifies each natural-language change request into a kind (create, modify, debug, migrate, deploy, read-only) and a risk label, then emits one or more task envelopes. Each envelope carries a declarative capability budget — allow_paths, deny_paths, max_files_changed, max_lines_changed, and may_add_dependencies — plus an agent-role assignment, required reserved-file tokens, required CI checks, …

Sleep-Gated Dream Memory Consolidation For Ai Personas, Gustavo Matthew Assuncao

Defensive Publications Series

Large language models (LLMs) are stateless across turns. A long-running AI persona — a digital worker that acts all day across email, chat, documents, CRM, voice, tasks, code, bugs, calendar, and autonomous agent runs — therefore begins every new turn with no durable memory of what it did. Two naive remedies fail at scale: (a) always-on summarization competes with interactive serving for the same scarce GPU/token budget, inflating the cost and latency of the work users wait on; and (b) per-conversation memory schemes capture only a single chat stream, never the whole cross-application workday.

This publication discloses a system and …

Idle-Triggered Curiosity Engine For Ai Agents, Gustavo Matthew Assuncao

Defensive Publications Series

Autonomous, reactive AI agents — chat assistants, cognitive personas, and tool-using agents driven by a perceive–reason–act loop — sit idle whenever no message, task, or event is pending. That idle time wastes provisioned compute (GPU/CPU and a held model context) and, more importantly, forfeits opportunities for the agent to do useful proactive work: revisiting stale goals, summarizing accumulated context, learning a new skill, or surfacing a forgotten follow-up. Naively filling idle time with background activity is dangerous: undisciplined background tasks compete with reactive work, repeat themselves, and fire when their preconditions are not met.

This publication discloses an Idle-Triggered Curiosity …

Per-Persona Token Budget Tracker With Strategy Bias, Gustavo Matthew Assuncao

Defensive Publications Series

Per-agent and per-tenant large-language-model (LLM) spend is hard to predict, attribute, and govern. The prevailing industry practice is post-hoc observation: token meters, billing exports, and span-level cost-attribution dashboards report what was spent after it was spent. The cost figure, however, never re-enters the agent's own decision loop. As a consequence the agent continues to select the same expensive model and the same long context until a hard spend cap trips, at which point the agent stops abruptly — a cost cliff rather than graceful degradation.

This publication describes a per-persona token budget tracker that converts cost into a closed-loop control …

Per-Persona Token Budget Tracker With Strategy Bias, Gustavo Matthew Assuncao

Defensive Publications Series

Per-agent and per-tenant large-language-model (LLM) spend is hard to predict, attribute, and govern. The prevailing industry practice is post-hoc observation: token meters, billing exports, and span-level cost-attribution dashboards report what was spent after it was spent. The cost figure, however, never re-enters the agent's own decision loop. As a consequence the agent continues to select the same expensive model and the same long context until a hard spend cap trips, at which point the agent stops abruptly — a cost cliff rather than graceful degradation.

This publication describes a per-persona token budget tracker that converts cost into a closed-loop control …

Resource-Provider Rbac For Multi-Domain Ai Platforms, Gustavo Matthew Assuncao

Defensive Publications Series

Flat role-based access control — admin / user / viewer — does not scale to a platform hosting many independently-developed domains (CRM, communications, finance, documents, AI personas) that appear and disappear at runtime and share resources across domain boundaries. Hardcoding a capability map forces a code deploy for every new permission; scattering per-domain access-control lists duplicates safety-critical logic and drifts. This publication describes a resource-provider RBAC model for AI-agent platforms in which each domain module registers its own resource catalogue at boot — resource types, each with a set of actions and a schema — into a central registry. Every …

Two-Tier Attention Queue With Amortized Triage, Gustavo Matthew Assuncao

Defensive Publications Series

An autonomous agent backed by a large language model (LLM) frequently receives inputs in bursts: two hundred emails delivered at once, a flood of webhook events, a queue of chat messages that arrived during a network partition. The dominant cost in processing such a burst is triage — the act of classifying each input into a type and a priority so the agent knows what to do with it. When triage itself invokes the LLM, a burst of N inputs produces N LLM calls before any useful work begins, a thundering-herd that spikes token spend and latency in lock-step with …

Hybrid Rag Ranking With Graceful Llm Fallback, Gustavo Matthew Assuncao

Defensive Publications Series

Retrieval-augmented generation (RAG) pipelines increasingly insert a language-model (LLM) re-ranking stage between candidate retrieval and answer synthesis, because LLM re-rankers materially improve the ordering of retrieved passages. But LLM re-rankers are slow, costly, rate-limited, and intermittently unavailable. The naive integration — retrieve, then await the LLM re-ranker, then return — promotes the slow, failure-prone stage onto the critical path. End-to-end retrieval latency, availability, and cost all become hostage to the LLM provider: one provider timeout or one tripped spend cap converts a sub-100 ms retrieval into a multi-second failure or an outage.

This publication describes a hybrid ranking architecture that …

Unified Multi-Channel Messaging History, Gustavo Matthew Assuncao

Defensive Publications Series

An AI agent that converses with the same person across several messaging providers — WhatsApp, Telegram, Signal, Discord — conventionally keeps one message history per provider. When a contact moves between channels the agent loses continuity: the earlier exchange is in another store, behind another code path, keyed by another identity. The two common remedies both fail: a table-per-provider design forces a schema migration every time a new channel is onboarded, and a lowest-common-denominator schema discards the provider-specific fields (Discord guild id, WhatsApp template id, Telegram thread id) that the agent later needs.

This publication discloses a design that resolves …

Dynamic Confidence Bands Per Action Type, Gustavo Matthew Assuncao

Defensive Publications Series

AI agents acting on a user's behalf — sending email, posting chat replies, creating tasks, calling tools, delegating to sub-agents — must decide, for each action, whether to act autonomously, escalate for a quick check, or hold for full human review. The prevailing mechanism is a single static confidence threshold ("auto-send if confidence > 0.8"), hand-tuned by operators. A single threshold is brittle: it cannot distinguish a low-stakes chat reply from a high-stakes external email; it does not adapt as the agent demonstrates competence (or begins to fail); and it forces every action type through one gate.

This publication discloses a …

Persona Mailbox Auto-Provisioning With Credential Rehydration, Gustavo Matthew Assuncao

Defensive Publications Series

Multi-agent software platforms increasingly assign each autonomous AI agent ("persona") a first-class email identity so the agent can correspond like a human teammate. Doing this at scale exposes four under-addressed engineering problems: (1) provisioning APIs typically demand an explicit per-tenant domain setup step before any account exists, coupling agent creation to tenant onboarding; (2) an address must be synthesized deterministically and collision-safely from an agent's human-readable identity; (3) modern JMAP mail servers expose a provisioning-time account identifier distinct from the session-time account identifier used on the JMAP wire — conflating them silently breaks mail; and (4) the app-passwords minted during …

Multi-Provider Voice Pipeline With Lazy Key Routing, Gustavo Matthew Assuncao

Defensive Publications Series

Production voice-agent platforms typically hardcode their speech-to-text (STT) and text-to-speech (TTS) providers, and they read provider credentials from process environment variables at start-up. As a result, switching providers (or serving two tenants with different providers from a single process) requires a code change or a process restart, and it forces every tenant's secrets to coexist in one shared environment. This disclosure describes a real-time voice pipeline that removes those constraints through a specific combination of mechanisms: (1) each of the three pipeline stages — STT, brain language-model (LLM), and TTS — is resolved at call time by looking up a …

Proactive-Action Engine With Layered Cooldowns, Gustavo Matthew Assuncao

Defensive Publications Series

Autonomous AI agents are overwhelmingly reactive: they wait for an inbound trigger and act only in response, missing the proactive opportunities a competent human handles unbidden — an approaching deadline, a review gone stale, a recommended self-improvement, a teammate who has gone quiet. The naive countermeasure — "act every N minutes" — spams the agent's own queue, drowns urgent items, and wastes inference budget on duplicate nudges.

This publication describes a Proactive-Action Engine that closes the gap without the spam. On a configurable idle-scan interval, a single pass interrogates a plurality of heterogeneous signal sources — a deadline source, a …

Dynamic Context‑Aware Tokenization For Intent‑Driven Agent‑To‑Agent Transactions, Chandra Shekhar Matam, Harshwardhan Tripathi, Nancy Lakra

Defensive Publications Series

The present disclosure relates to a dynamic tokenization system for facilitating intent-driven transactions between autonomous agents. The system includes a context-aware token that encodes metadata defining multiple conditional spending profiles associated with distinct transaction intents. An intent declaration module receives specified transaction intents from the initiating autonomous agent, while a policy engine evaluates the declared transaction intent along with contextual factors such as agent identity and historical transaction behavior. A dynamic parameterization mechanism updates the metadata of the context-aware token in real-time, establishing context-specific limits on spending, merchant restrictions, transaction velocity, and expiration rules. During authorization, an authorization network validates …

Novel Polymorph Of Pirtobrutinib And Process For Preparation Thereof, Msn Laboratories Private Limited, R&D Center; Srinivasan Thirumalai Rajan, Sagyam Rajeshwar Reddy, Keshavareddy Navin Kumar Reddy, Parigi Raghavendra Reddy & Yata Murali

Defensive Publications Series

Field of the invention:

The present invention relates to novel polymorph of Pirtobrutinib of formula-1, which is represented by the following structural formula-1 and process for preparation thereof.

Formula-1.

Eyewear-Integrated Hardware-Enclaved Sensor Gating Interface Utilizing Asynchronous Data Valving And Biomechanical Intent Verification, Daitona Carter

Defensive Publications Series

This disclosure details a physical, hardware-enclaved security architecture designed to prevent unauthorized, passive audio and visual data extraction from wearable computing platforms. The framework mechanically decouples micro-electromechanical systems (MEMS) microphone arrays and camera sensors from the primary application processor (AP) and host operating system. Raw environmental data streams are routed exclusively into a hardware-isolated, bare-metal secondary microcontroller core operating a dedicated, secure execution environment. This secondary core controls an asynchronous data valve: raw sensor inputs are buffered in a one-way FIFO queue completely inaccessible to the host processor unless explicitly released by a verified user intent signal. This physical intent …

System, Method, And Cryptographic Framework For Client-Side And Wearable-Device Base-Station Impersonation Detection And Token-Gated Location Attestation Within Multimodal Smart Eyewear Ecosystems, Daitona Carter

Defensive Publications Series

An endpoint-driven security architecture designed to mitigate localized cellular interception, mobile station tracking, and unauthorized infrastructure-level location queries. The system uses client-side RF environment auditing to calculate signal strength anomalies via the Inverse-Square Law, alongside a logical framework that locks location attestation to an active, cryptographically signed PSTN call session token. Unauthenticated backend queries are dropped at the firmware level.

The Caldwell Ecosystem Master Index (2026 Edition) Unified Architecture • Infrastructure Layer • Cross‑Stack Map • Prototype Timeline • Clinical Roadmap, Michael Victor Caldwell Mr.

Defensive Publications Series

This disclosure provides the complete 2026 master index for the Caldwell GCI/UAAP/Vortex/Arachne ecosystem. It unifies all major inventions published on the Technical Disclosure Commons into a single functional architecture, organized into ten ranked application stacks supported by a universal infrastructure substrate. The document includes: (1) the 10‑Rank Functional Architecture; (2) the Infrastructure Layer (Nexus Cell, Arachne v8.7, Universal Conditioning Train, CP‑Grid); (3) a Cross‑Stack Dependency Map; (4) a Prototype Development Timeline (2026–2030); and (5) a Clinical Translation Roadmap. All systems are open‑hardware, non‑proprietary, and designed for humanitarian engineering, clinical research, environmental resilience, and distributed bioprocessing. Every referenced invention can be …

Regulating Operational States Of An On‑Chip Power Controller, Janardan Prasad

Defensive Publications Series

System‑on‑chip architectures often employ primary power controllers to direct the operational states of various internal sub‑systems. Problems can arise during periods of sub‑system inactivity, as the primary power controller remains active to monitor the sleeping domains, resulting in continuous power consumption. The disclosed technology utilizes a secondary power controller manager to govern the clocking and power states of the primary power controller. By evaluating hardware handshakes, initiating duration counters, and deploying finite state machines, the power controller manager transitions the primary power controller into a clock‑gated or power‑gated state during extended periods of sub‑system inactivity. In this way, the disclosed …

Automated Emulation Of Life Cycle States And Configuration Fuses, Rohit Sinha, Afshin Hosseinipour, Kyle Rupnow, Janardan Prasad, Rama Thotakura

Defensive Publications Series

System-on-Chip devices often use One-Time-Programmable (OTP) fuses to maintain permanent configuration data, including manufacturing life cycle states and security provisioning. Because programming these physical fuses is an irreversible process, manufacturers frequently delay the testing of end-user features that rely on final fuse states until the concluding stages of manufacturing. Such delayed testing may result in late-stage defect discovery, additional hardware revisions, and longer debugging efforts. The disclosed hardware architecture facilitates the dynamic, non-destructive emulation of configuration fuse states. By employing a multiplexing unit and dedicated control logic, the hardware architecture selectively routes customizable configuration data from a volatile internal memory …

Multi‑Scan Enable (Mse) Hybrid Methodology For At‑Speed Transition Delay Fault Testing, Vevekanenda Gonugunta, Ankit Garg, Vipin Kakkatt, Aravinda Acharya

Defensive Publications Series

Test engineers utilize at‑speed transition delay fault testing to maintain product quality in sub‑nanometer semiconductor designs. The standard launch‑on‑capture (LOC) methodology may face controllability limitations due to functional logic dependencies. These dependencies may prevent the testing system from activating targeted transitions, which might lead to test escapes. While alternative methods (e.g., launch‑on‑shift (LOS), control test points) exist, these alternative methods may introduce timing closure challenges or performance degradation in high‑frequency circuits. This disclosure describes a hybrid methodology utilizing localized multi‑scan enable (MSE) generator logic. A testing system temporarily enables a localized shift mode on specific launch flip‑flops to transform sequential …

Code Generation System With Integration Of Objective User Feedback, Ishac Bertran

Defensive Publications Series

This document describes a self-improving code generation system, also known as a programming assistant, software synthesis tool, or automated coding assistant, that dynamically enhances automated code generation accuracy by using an artificial intelligence (AI) or machine learning system, such as a large language model (LLM), by continuously learning from user interactions. During application development sessions, the system evaluates user feedback in parallel with code generation tasks to separate subjective personal tastes from objective functional corrections. The system distills and merges functional corrections into an aggregated guidelines document that acts as an evolving set of engineering rules so as to enable …

System And Method For Integrating Localized, Verified Volunteer Medical Responses Into Vehicular Emergency Workflows, Anonymous

Defensive Publications Series

In commercial aviation, the protocol of broadcasting an announcement asking, "Is there a doctor on board?" is a long-standing and effective method for managing in-flight medical emergencies. By leveraging the presence of off-duty medical professionals who happen to be co-located with the emergency, flights can secure immediate, life-saving interventions for conditions such as cardiac events, diabetic shock, or severe allergic reactions. On the road, a parallel opportunity exists. Thousands of off-duty medical professionals—including doctors, nurses, and emergency medical technicians (EMTs)—frequently commute or travel in close proximity to vehicular medical emergencies. Bound by professional ethics and protected by Good Samaritan …

The Nexus Cell: A Fully Solid‑State, Multi‑Output Resource Engine Integrating Crfg‑1r Cooling, Phoenix-Water Atmospheric Harvesting, Thermoacoustic Pumping, And Orc Microgeneration Via A Unified Arachne Gyroid Substrate, Michael Victor Caldwell Mr.

Defensive Publications Series

This disclosure presents the Nexus Cell, a fully open‑hardware, solid‑state, multi‑output resource engine capable of producing cooling (HVAC), potable water, hot water, and supplemental electricity from ambient air and variable power input (solar, wind, or grid). The system integrates four previously independent technologies—CRFG‑1R cooling, Phoenix-Water condensation, thermoacoustic pumping, and Organic Rankine Cycle (ORC) microgeneration—into a single, continuous, 3D‑printed Arachne Gyroid Substrate.

The design contains no moving parts, uses passive vortex-diode flow control, and is engineered for 10+ year lifecycle with minimal maintenance. All parameters, materials, geometries, and test protocols are fully disclosed. No patents are claimed. This work is released …

Scalable Replay Service, Komaljot Kaur, Apurba Pandey, Vighnesh R V

Defensive Publications Series

A distributed pod coordination system includes a plurality of pods configured to process work from a message queue, each pod assigned a unique pod identifier, and a state store maintaining coordination state including an active pods set, heartbeat keys, and partition maps associating partitions with respective pods. Each pod registers with the state store by obtaining the unique pod identifier, creating a heartbeat key with a time-to-live expiration value, and adding the pod to the active pods set. Each pod periodically refreshes the heartbeat key and participates in master election by querying the active pods set, verifying heartbeat keys, and …

Policy-Governed Llm Context Virtualization With Tool-Mediated Rehydration For Auditable Cost Reduction, Todd C Kuehnl

Defensive Publications Series

A policy-governed Large Language Model (LLM) gateway is provided that cuts token spending on large, mixed-context requests by virtualizing high-cost prompt segments into secure pointers and rehydrating them only when needed via controlled tool retrieval.  The system is designed to preserve output quality and operational safety through route-aware fail-open controls rather than lossy compression or blind truncation. The result is auditable, per-request cost reduction that supports enterprise-scale artificial intelligence (AI) adoption without requiring application workflow changes.

The Distributed Dual Camera Configuration That Will Collectively Capture The Exact Scene Visible To The Eye In A Distributed Manner., Punarjeewa Abeysekera

Defensive Publications Series

This paper describes a distributed dual camera configuration that will collectively capture the exact scene visible to the eye in a distributed manner. The entire distributed dual camera configuration will consist of a dual distributed beam splitter configuration, a dual distributed camera configuration and a centrally located wall like light occluding structure. The containing dual distributed beam splitter configuration will have the capability to direct light rays from the scene onto the dual distributed camera configuration where the directed light rays will be collected in a distributed manner. During this distributed light ray capturing scenario, each camera configuration containing within …

Amorphous Solid Dispersions Of Benzgalantamine Gluconate And Processes For Preparation Thereof, Dr.Chetan Balubhai Patel, Dr.Shivakumar Santhekasalagere Basavaiah, Mr.Manikandan Veeraiyan, Mr.Praveenraja Rasappan, Sthree Chemicals Private Limited

Defensive Publications Series

Abstract: The present invention relates to an amorphous solid dispersion of Benzgalantamine Gluconate representing the compound of formula (I).

The present invention also relates to a process for the preparation of an amorphous solid dispersion of Benzgalantamine Gluconate. Particularly, the present invention relates to an amorphous solid dispersion of Benzgalantamine gluconate with hydroxypropyl-β-cyclodextrin (HP-β-CD), co-povidone, or combinations thereof.

A Process For The Preparation Of Acoramidis, Anonymous

Defensive Publications Series

The present invention relates to a process for the preparation of Acoramidis and its intermediates.