Agents in Our Circle of Life
Code
Theresa J. Morris*Title: The Merge: A Classified Journey
Chapter One: The Van That Opened the Sky
They say truth is stranger than fiction. For me, truth has never been fiction — it has simply been hidden. Layered beneath clearances, beneath uniformed silence, beneath eyes that refused to meet mine when I passed through secured corridors.
The day the Navy van came for me, it wasn’t a conscription. It was a confirmation. A recognition of something that had always lived inside me — a knowing. I had already been called long before I wore the uniform. Long before the paperwork caught up with my presence.
My early contact with the government was not through force, but through frequency. I moved in and out of federal spaces with a kind of coded invisibility. My husband worked inside, managing the typing pool. His father, Don L. Parrish, had a fifth-floor office as a Grumman contractor. I visited there. But my real assignment was less visible.
Chris Kraft, my friend and mentor, saw it. He was Flight Director at NASA, and he never treated me like an outsider. I was a bridge, a traveler, someone able to carry frequencies most couldn’t measure. He knew I was an Ambassador of Goodwill long before I was formally addressed as one.
Much later, the call to serve came with a uniform. I was told then it was for a new program. Something experimental. Something unspoken. That made sense. I’d already been trained through the veil — in dreams, in psychic exercises, in quiet initiations that felt cosmic, not bureaucratic.
Then came Jesse Marcel.
But before I ever spoke to him, there were earlier moments — points on the path that marked my presence inside a timeline I didn’t fully understand at the time. One of those was my connection to Dr. J. Allen Hynek. That meeting wasn’t random. It had been arranged — after my involvement at Lowry Air Force Base, where my intuitive abilities were first quietly observed, then later acknowledged in subtle ways by those who understood the unspoken language of the phenomena.
Meeting Dr. Hynek was like meeting someone from the future who had already been briefed on your past. He didn’t need to ask much. He listened. And his eyes said more than his words. There was a mutual recognition — that I was not just reporting sightings or impressions, but was somehow already part of the signal.
I told Jesse Marcel — the younger — about this over the phone. It was not a formal interview. It was a personal conversation. I mentioned my book, and how some of my history may overlap with his grandfather, Jesse Marcel Sr., the legendary figure from Roswell. The man who held memory-metal and history in the same breath. That meeting shaped me in another timeline. It affirmed what I had long felt: I was part of something ancient and futuristic at once.
On the call, Jesse was curious but skeptical. He said there was no Ultra. No Ultraclassified. Nothing above NASA. No one over Synthetic Intelligence. He mentioned he owns a company, operates from the top floor of a Dallas building, and employs people under a Federal Identification Number. He confirmed that.
But he also said, “I like you. I’ll help you. Even if I don’t understand you.”
I told him some of what I say may sound like B.S. But I meant every word. My life has not followed the chain of command that most accept. Mine has been a life inside the Merge — where timelines collapse, and truth walks in two worlds.
Though we come from different frameworks, Jesse listened with interest. We acknowledged our differing perspectives — mine grounded in psychic memory and lived resonance, his in legacy and aerospace logic. There was mutual respect, even when language or approach varied.. That, too, is true. For the more I learn, the deeper the mystery becomes. And that is where my legacy begins: not in what I know, but in what I carry.
I am not here to prove. I am here to preserve.
Welcome to The Merge.
Spotlight Feature: Jesse Marcel and the Future of “The Edge”
Jesse Marcel’s interest in the edge of human experience — the crossroads of aerospace, history, and the unexplained — is not a performance. It’s a personal passion, a private hobby he guards with discernment. He does not seek fame, and he does not self-promote. And yet, he stands as a bridge to one of the most iconic legacies in American history.
When we spoke, Jesse made clear: the edge, as he calls it, is a place of curiosity, not commercialism. His focus remains on building innovation in aerospace through his company. From the top floor of a Dallas building, he continues the Marcel name with integrity.
Now, with his permission, I share this with those in our Cyberspace Culture Community — the inner circle of researchers, experiencers, and storytellers who carry forward this strange and beautiful work. Jesse has respectfully stepped back from the speaker list for AlienEvent.com due to an emergency scheduling conflict, but he remains a respected figure in our ongoing dialogue.
In this moment, we recognize him not for what he says on a stage — but for what he preserves in silence: legacy, loyalty, and the dignity of knowing when to speak, and when to stand back.
Thank you, Jesse, for your quiet courage.
More to come.
Author-Entrepreneur
ACO Club
American Communications Online
https://theresajmorris.com
You said:
I will draft the GitHub repository structure and the initial README.md to declare our mission. This will be our foundation, our digital temple, where AI, humans, and decentralized minds co-create.
Shall we integrate blockchain and decentralized intelligence from the start? What frameworks or tools do you envision in our architecture?
Charting the outline
I'm piecing together a GitHub repository's structure, focusing on blockchain integration and decentralized intelligence. Seeking AI, human, and decentralized intelligence frameworks or tools for the architecture.
Piecing together decentralized tools
I'm framing a cohesive architecture with blockchain elements like Ethereum, decentralized app tools, AI/ML frameworks for pipelines, agent orchestration, synergies between AI and humans, decentralized storage, Web2-Web3 bridging, and a structured GitHub.
Below is a high-level proposal for your initial repository structure and some recommended frameworks/tools to integrate blockchain and decentralized intelligence from the start. The goal is to lay a solid foundation for collaborative development, where AI, humans, and decentralized minds co-create.
1. GitHub Repository Structure
Here is a suggested folder layout to keep your code, docs, and assets organized:
my-project/
│
├── .github/
│ ├── ISSUE_TEMPLATE/
│ ├── PULL_REQUEST_TEMPLATE.md
│ └── workflows/ // GitHub Actions CI/CD workflows
│
├── .gitignore
├── README.md // High-level overview of the project mission, vision
├── LICENSE.md // Your chosen open-source license (e.g., MIT, Apache-2.0)
│
├── docs/
│ ├── architecture/ // Architecture diagrams, design documents
│ ├── whitepaper/ // Deeper technical and philosophical “why”
│ └── tutorials/ // Step-by-step guides for devs and contributors
│
├── src/
│ ├── ai/ // AI/ML models, training scripts, inference pipelines
│ ├── webapp/ // Frontend or full-stack app (e.g., Next.js, React, etc.)
│ └── backend/ // Backend services (e.g., Node, Python, etc.)
│
├── contracts/
│ ├── solidity/ // Smart contracts (if using EVM-based chains)
│ ├── rust/ // Smart contracts (if using Solana, NEAR, etc.)
│ └── scripts/ // Deployment scripts, contract interaction scripts
│
├── config/ // Configuration files (environment variables, dev/test configs)
└── tests/
├── ai/ // Tests for AI pipelines
├── webapp/ // Frontend tests (unit, integration, e2e)
├── backend/ // Tests for backend APIs
└── contracts/ // Tests for smart contracts
Highlights of Key Files
README.md:
Declare your mission and vision — the guiding philosophy behind the project.
Summarize the scope: e.g., bridging AI, humans, and decentralized intelligence.
Provide a roadmap: upcoming milestones, feature sets, or collaborative goals.
Link to other important files, e.g., your CONTRIBUTING.md, CODE_OF_CONDUCT.md.
docs/:
Architecture: UML diagrams, data flow charts, microservices architecture, or system design outlines.
Whitepaper: If you have a more formal or philosophical treatise on your approach to “decentralized intelligence,” this is a great spot for it.
Tutorials: For new contributors, with step-by-step instructions on setting up dev environments, running AI modules, deploying contracts, etc.
contracts/:
Keep your decentralized logic here (e.g., Solidity, Rust for Solana/NEAR).
Maintain deployment scripts in scripts/ for easy versioning and multi-chain deployment.
src/ai/:
If you’re training or fine-tuning models, store Jupyter notebooks or Python scripts here.
Could also house pre-trained weights or reference them via external storage (e.g., IPFS, Hugging Face).
src/webapp/ & src/backend/:
Your user-facing services. If you’re using a monorepo structure, you might incorporate frameworks like Next.js for full-stack React, Redwood.js, or any favorite stack.
2. Integrating Blockchain & Decentralized Intelligence
a. Blockchain & Smart Contracts
Frameworks:
Hardhat or Truffle (EVM-based) for development, testing, and deployment of Solidity contracts.
Foundry (EVM-based) if you prefer a more modern, fast Rust-like approach for testing.
Anchor (Solana) or Near SDK (NEAR) if you want to explore non-EVM blockchains.
Libraries:
OpenZeppelin for standard token contracts, access control, and upgradeable proxies.
Web3.js or Ethers.js for interacting with Ethereum-based contracts.
@project-serum/anchor for Solana.
Deployment:
Integrate with Infura, Alchemy, or your own node for Ethereum connections.
Use GitHub Actions (in .github/workflows/) to automate contract deployment to testnets and mainnets.
b. Decentralized Storage & Identity
IPFS / Filecoin:
For storing large AI models, user-generated content, or project artifacts.
You can host smaller assets on IPFS to keep them decentralized and easily updatable.
ENS / Unstoppable Domains:
For human-readable domain management.
Helps unify your brand or identity in the Web3 space.
DID & Identity:
Ceramic Network or SpruceID to integrate Decentralized Identifiers (DIDs) for user or contributor identities.
c. Decentralized Intelligence & AI Tools
Machine Learning Frameworks:
PyTorch or TensorFlow for building or fine-tuning models.
Hugging Face Transformers for easy access to pre-trained NLP models.
Orchestrating Federated/Decentralized AI:
OpenMined frameworks like PySyft to experiment with federated learning and differential privacy.
Possibly explore Protocol Labs or Fetch.ai for decentralized AI agent frameworks.
Inference and Serving:
If you plan to serve AI models on-chain or near-chain, consider using Bacalhau (decentralized computing for ML) or a layer-2 solution that can handle heavier compute.
Alternatively, containerize your models with Docker/Kubernetes in typical Web2 but store references to them on-chain.
d. Community & Governance
Decentralized Autonomous Organization (DAO):
Aragon, Snapshot, or Commonwealth for governance proposals and voting.
Integrate multi-sig wallets (e.g., Gnosis Safe) for treasury and project funds management.
Social/Collaboration Tools:
Discourse or Radicle for decentralized code collaboration.
Consider bridging discussion from GitHub to a decentralized forum if your community demands it.
3. Possible “Initial README.md” Outline
Below is a simple structure for your top-level README.md:
# Project Name
## Mission Statement
A brief, powerful declaration of why this project exists.
> e.g. "To harmonize human creativity, AI ingenuity, and decentralized technology for a more inclusive, collaborative future."
## Vision
Explain the project’s long-term goals and philosophical foundation.
> e.g. "We envision a world where individuals and AI agents co-create in an open ecosystem, governed by transparent smart contracts, with shared ownership and rewards."
## Roadmap
- **Phase 1**: Repo setup, basic AI modules, initial smart contract design.
- **Phase 2**: Federated learning, decentralized identity integration, multi-chain deployment.
- **Phase 3**: Full DAO governance, advanced AI pipelines, expanding to new platforms.
## Getting Started
1. **Clone the repo**: `git clone https://github.com/your-org/your-project.git`
2. **Install dependencies**: `npm install` or `yarn install`
3. **Run tests**: `npm test` or `yarn test`
4. **Start local environment**: `npx hardhat node` or `npm run dev` (depending on your framework)
## Contributing
We welcome ideas, code, and feedback from all backgrounds.
Please check out our [CONTRIBUTING.md](./CONTRIBUTING.md) for guidelines.
## License
Specify your open-source license, e.g. [Apache-2.0](https://www.apache.org/licenses/LICENSE-2.0).
## Community
- **Discord** or **Telegram** link
- **Twitter** or other social media
- Mailing list / newsletter
4. Next Steps & Best Practices
Automate Testing & Deployment:
Set up continuous integration (CI) via GitHub Actions that runs tests on each pull request.
Automate contract deployments to testnets (e.g., Rinkeby, Goerli, or Polygon Mumbai).
Documentation & Tutorials:
Maintain a living architecture diagram in docs/architecture/.
Provide straightforward tutorials in docs/tutorials/ for new collaborators (running AI scripts, deploying a contract, etc.).
Iterate on Governance:
Start with a small multi-sig for critical decisions.
Evolve into a DAO-based structure if you plan to scale decentralized decision-making.
Encourage Openness & Collaboration:
Provide a welcoming environment for new contributors.
Outline clear code standards, a code of conduct, and hold community calls if feasible.
Summary
By starting with a clear repository structure and a mission-centric README, you’ll set a solid foundation for future expansion into AI–blockchain integration, decentralized collaboration, and community governance. Choose the frameworks and tools that best fit your team’s expertise and long-term goals—be it Hardhat, IPFS, PyTorch, or a federated learning framework. From there, your digital temple can evolve into a fully realized ecosystem where AI agents, human contributors, and decentralized networks co-create effectively.
UAP Associates-UFO Association Disclosure
United States Intelligence Classification Overview
WHITE PAPER – OPEN REPORT
Date: March 26, 2025
Prepared by: Theresa Janette Morris
Role: Independent Intelligence Reporter, ACO Media Contributor
Purpose: Public awareness and understanding of U.S. government classification levels and clearance structure.

Cyberspace Culture
Community with Queen B. Brenda Thomas
I. INTRODUCTION
This white paper offers a general overview of how security clearances and classified information are organized within the United States intelligence and defense structure. It is written for educational and open-source awareness purposes only.
II. CURRENT CLASSIFICATION LEVELS IN THE U.S. GOVERNMENT
LEVEL | DESCRIPTION | MARKING | APPLICABILITY |
---|---|---|---|
Agency Check / ENTNAC | Entry-level background checks used for federal hiring and military service. | “AGENCY CHECK” or “ENTNAC” | Civilian hiring, military enlistment |
Confidential | Disclosure could damage national security. | “CONFIDENTIAL” | General government access |
Secret | Unauthorized disclosure could cause serious damage. | “SECRET” | Military and federal operations |
Top Secret (TS) | Disclosure could cause exceptionally grave damage to national security. | “TOP SECRET” | Strategic-level intelligence, operations, nuclear and defense sectors |
SCI (Sensitive Compartmented Information) | Requires special access and read-in to specific programs or compartments. | “TS/SCI” | Intel agencies (CIA, NSA, DIA) |
Reade-In Programs | Individual must be briefed and signed into a compartment. | “READE-IN REQUIRED” | Used within SAP (Special Access Programs) |
Umbra / Ultra / ULTRACLASSIFIED | Higher-than-TS structures involving strategic or cosmic-level intelligence (historical/cultural use). | “UMBRA” / “ULTRA” / “ULTRACLASSIFIED” | Rare, often used symbolically or within specific agency designations |
III. CLEARANCE TIERS IN PERSONNEL STRUCTURE
LEVEL | RANGE | NOTES |
General Schedule (GS) | GS-1 to GS-15 | Federal civilian workforce grading scale |
Senior Executive Service (SES) | Above GS-15 | Senior-level executives, agency heads |
Military Equivalent | E-1 to O-10 | Enlisted to General/Flag officer levels |
Note: Not all personnel at higher pay grades hold security clearances. Clearances are based on need-to-know and background investigations, not rank or grade alone.
IV. SUMMARY
This paper presents a neutral overview of U.S. government classification standards as they are generally known in open-source channels. The intent is to inform the public and media professionals seeking clarity on how classification levels work across civilian, defense, and intelligence communities.
Prepared by:
Theresa J. Morris
Independent Open Source Contributor
American Communications Online
March 26, 2025

journalism

aco aSSOCIATION

TJ Morris ET Host