Skip to content
View isaac-dev-ai's full-sized avatar

Block or report isaac-dev-ai

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
isaac-dev-ai/README.md

Isaac Arnold

I build defensive autonomous systems by pairing language models with deterministic verification, capability containment, and verifiable state transitions.

Selected Work

Law Engine A structured legal-intelligence and learning platform — cryptographic SHA-256 provenance-tracked statutory text (UCC Articles 1, 2, 3, and 9, Virginia enactment), a deterministic legal-reasoning engine, and an interactive TypeScript/Next.js/React study app with source-verified interactive scenarios. Public, Apache-2.0.

Company Intelligence Pipeline A production-grade, end-to-end data-engineering pipeline — SEC EDGAR financial disclosures, cryptographic SHA-256 provenance, a normalized relational schema, automated data-quality validation, and advanced SQL analytics for 5 public companies. Public, Apache-2.0.

Enterprise Agent Lab An RFC-compliant MCP server plus two independent agent-orchestration implementations (plain Python and LangGraph) around the same deny-by-default, human-approval-gated workflow.

AI-Native Content Operations Architecture & Reference Model A content-systems reference model — discovery, production, quality gates, distribution, and a checkable refresh-priority formula.

GhostOS A private, ongoing agentic operating system I build and run daily — Python, deterministic decision engines, production API integrations (CRM, ads, marketplaces), and an automated regression suite covering hundreds of operational invariants (architectural patterns reflected in the public case study below). Source is private; the four repos above are public products/extractions built on the same platform. GhostOS: Autonomous Operations Case Study → — a detailed technical post-mortem on why process exit codes lie in unattended AI orchestration, host sandboxing under Linux Landlock, and typed outcome state machines.

Background

Sixteen-plus years across enterprise storage hardware and firmware validation, technical support, sales engineering, and complex real-estate operations. Now applied to engineering the autonomous AI systems and deterministic controls that replace manual workflows.

Current Focus

Defensive autonomous systems, evidence-bound AI orchestration, Model Context Protocol (MCP), and deterministic workflow automation.

Pinned Loading

  1. law-engine law-engine Public

    A structured legal-intelligence and learning platform -- real provenance-tracked statutory text, deterministic legal reasoning, and an interactive UCC study/practice UI. Currently covers UCC Articl…

    Python 1

  2. enterprise-agent-lab enterprise-agent-lab Public

    Reference implementation of controlled MCP agent workflows with independent human approval, LangGraph/native Python orchestration, and auditable writes.

    Python 1

  3. company-intelligence-pipeline company-intelligence-pipeline Public

    A small, real, end-to-end data pipeline: SEC EDGAR financial disclosures, real provenance, a relational schema, quality validation, and real SQL analytics for 5 real companies.

    Python 1

  4. ai-native-content-operating-system ai-native-content-operating-system Public

    An AI-native content operating model for discovery, production, human quality gates, distribution, measurement and refresh prioritization.

    1

  5. ghostos-assurance-core ghostos-assurance-core Public

    Deterministic assurance patterns for governed AI execution: artifact binding, mechanical arbitration, and fail-safe provider-result handling.

    Python