AionSystem - Document red-teaming before the failure costs anyone

Project summary

I red-team high-stakes documents. Governance frameworks, treaties, policies, contracts. I find the structural failure nodes before a bad actor exploits them and with AI capabilites these days THEY WILL.

I've have published over 30 DOI-registered artifacts. These are my favorite runs:

•EU AI Act Articles 51–56.

•The Hippocratic Oath and Declaration of Geneva.

•The UN deep-sea mining code.

• The Advocatus Diaboli Protocol.

• My AI-Constitution, with a working Python engine.

• Risk in the Risk in the Risk on SSRN.

As the Advocatus Diaboli my pipeline runs on 32 frameworks. One of them, the Advocatus Diaboli Protocol, is public at DOI 10.5281/zenodo.22185935. The rest are proprietary.

I also vibe write code. The constitutional engine is public 10.5281/zenodo.20617735, I have Engines and separate projects at github.com/AionSystem.

Built all of it, unfunded.

Right now the pipeline runs on shared hardware and i typically use about 5-7 million tokens a day. I will need my own Rig for better building and privacy because this is just the beginning.

What are this project's goals? How will you achieve them?

Get my pipeline off shared hardware and onto a machine I own.

I have been eyeing a ZOTAC MEK 5090 — RTX 5090, Intel Core Ultra 9 285K, 32GB DDR5, 2TB NVMe. Base price $5,899.99 at the ZOTAC Store. I'll add 128GB RAM, two monitors(would rather 8 monitors cough), and warranty. Total lands at $7,500.

The machine removes the sharing hardware, allow for model computing and the speed will be like going from 0 - 165mph from 3 weeks to build a model to few hours.

At $10,000 the extra covers a three-month researching stipend for expanded document classes.

How will this funding be used?

$7,500 minimum:

• ZOTAC MEK 5090 Infinity - $5,899.99

• 128GB DDR5 RAM kit - about $450

• Two monitors - about $400

• Extended warranty - about $350

• Rest covers stock and price variance

$10,000 goal:

• Everything above

• Three-month research stipend

• expanded document classes

Who is on your team? What's your track record on similar projects?

Sheldon K. Salmon(solo), AionSystem.

ORCID: 0009-0005-8057-5115 - https://orcid.org/0009-0005-8057-5115

LinkedIn: https://www.linkedin.com/in/sheldon-k-salmon-b0901b378

GitHub: https://github.com/AionSystem

Published/preprint, all DOI-registered:

• Structural Fracture and Immunization Architecture - EU AI Act Articles 51–56 - 10.5281/zenodo.22135551

• "Do No Harm" - Hardened 2026 Covenant-Annex - 10.5281/zenodo.22267142

• ISBA/29/LTC/8 - UN deep-sea mining code - 10.5281/zenodo.21326719

• Advocatus Diaboli Protocol v0.9 - 10.5281/zenodo.22185935

• The Constitution v3.0 - Zenodo record 20617735 (spec plus working Python engine)

• Risk in the Risk in the Risk - SSRN 7438319

• Project Allotment is on LinkedIn - a demonstration piece, structural review written as a fictional internal risk report.

If you wish to see the pipeline in action before funding anything:

I'll run an unsolicited structural pre-mortem on one public document of yours. Just One pass. No charge.

Published the same way i have done wirh these others the EU AI Act and UN mining code analyses.

I do sign mutal-NDAs and will red-team yours on request too - my standard mutual NDA is available on request.

What are the most likely causes and outcomes if this project fails?

If it doesn't fund, output continues, I do not stop working this is my passion and I love it.

My project doesnt die without funding. It's one that scales with it.