Garmon & Associates, PLLC

05/14/2026

Robot Facial Scans? Police Bots? Are you Digitally Safe? OnGar Your Digital Identity.

05/14/2026

- My firm did as much if not more during our time to curve and mitigate this type mistreatment. Go repent over my file.

🔗: https://www.al.com/news/2026/05/alabama-woman-forced-to-give-birth-on-jail-floor-suit-says-i-have-nightmares-that-we-both-died.html?utm_campaign=aldotcom_sf&utm_medium=social&utm_source=facebook

The woman alleges that she had to rely on other inmates to help deliver the baby, then resuscitate it after it stopped breathing.

“I’m so grateful that my baby and I are here today, and I owe that to other women because the guards treated me like I was less than nothing.”

05/14/2026

[Phase 1: 400 Clients] --> [Phase 2: 40,000 Clients] --> [Phase 3: 40,000,000 Clients]
Make.com + Bubble + Apify Custom AWS/GCP Pipeline Proprietary LLM + Direct Data
+ OpenAI API Connections + Dedicated Vector Database Partnerships & Global Scale
Phase 1: The 400-Client MVP (Minimum Viable Product)Stack: Bubble.io + Make.com + Apify (Google Search/Social scrapers) + OpenAI API.Process: Your team manually uploads the client list to Bubble. Make.com routes the names/emails to Apify. Apify returns text data. OpenAI summarizes it into the 2,000-character box. Your team sits with the client to finalize the "Goal Bio."Phase 2: The 40,000-Client AutomationStack: Migrate from Make.com to n8n.io (self-hosted to avoid massive workflow ex*****on fees). Move data processing to AWS Lambda or Google Cloud Functions.Process: Human interaction shifts to exception handling only. The monthly delta report (Goal vs. Crawl) is auto-generated by the AI, and an alert is triggered only if the "Reputation Deviancy Score" passes a certain threshold.Phase 3: The 40 Million Cradle-to-Grave EnterpriseStack: Fully custom, proprietary infrastructure. You will need to fine-tune a private, open-source LLM (like Llama-3) hosted on your own cloud servers to eliminate third-party API costs.Process: Direct API integrations with credit bureaus, public court records, and major social media networks replace raw web scraping to maintain real-time, objective data string hygiene.To help map out your technical requirements and select the right initial platforms, tell me:What specific social media platforms and public data sources are most critical for your initial 400 clients?Do your clients require a native mobile app to view their monthly dossiers, or is a secure web portal sufficient for Phase 1?What specific parameters define your "AI Hygiene" metrics when checking if an algorithm is misweighing a client's digital profile

Automate your work. Make allows you to visually build, scale and automate AI and agentic workflows. User friendly no-code integration tool. Try it now for free!

05/14/2026

We need to establish OnGar services for real humans by creating a crawler Digital Dossier as the individual is currently embedded. What do you recommend as far as Apps that could receive an uploaded Client List and then using the Client's name and email Web crawl for each Client and create an "As of Date" OnGar.AI Digital Reputation Bio Dossier that we help the Client sort, correct, order, and ensure is a proper and accurate Digital Bio.

It seems a 500-2000 Character Box is best. The Client then receives a Monthly OnGar.AI of his and or her Digital Reputation Bio Dossier with our "Goal Bio" compared to what the Monthly Web crawl indicates.

Please advise. The Monthly Report will be supported by our Objective Platform Data String Code AI Hygiene and Social Media mitigation feeds.

Thank you Gemini for helping establish these systems.

The Goal is to service 400 Clients, then 4,000, 40,000 and grow it up to 40 million Digital Clients who our company OnGar. AI from Cradle to Grave and Thru even an Active Obituary Service after passing services to ensure Algorithms do not misweigh certain factors.

Please advise.

---

05/13/2026

But in the end, you WILL be right.

05/13/2026

OnGar.AI, led by Trenton Garmon, is a platform focused on AI Hygiene for the Digital Web of Artificial Intelligence.Based in Birmingham, the entity emphasizes the security, integrity, and ethical application of AI technologies.Key Aspects of OnGar.AIAI Hygiene & Security: OnGar.AI concentrates on maintaining the "hygiene" of AI, which involves auditing and ensuring the integrity of AI systems to prevent "Dark Fabric" infiltration."Trustee Mandate": The platform is involved in ensuring the integrity of the "Trustee Mandate" within AI systems.Public Safety & Civic Action: OnGar.AI has been linked to practical applications of AI in public service, such as supporting law enforcement audits.Contextual NotesTrenton Garmon: Associated with OnGar.AI, involved in AI safety and audit initiatives.Not to be Confused With: The search results indicate that "OnGar" should not be confused with "OGAR" (Ontology-Guided Augmented Retrieval) from Intelligence Factory, or the town of Chipping Ongar.Activity: As of early 2026, OnGar.AI is active in AI lab sessions and security auditing.For more specific information regarding their products, it is best to contact OnGar.AI directly through their digital presence.

05/13/2026

The sexiest men are untouchable!

05/13/2026

Northwest Missouri State University President and TROY alumnus Dr. Lance Tatum will provide the keynote address at Spring Commencement, across two days of festivities.

05/13/2026

Trenton Garmon’s work and his self-designated claim as the "First Human-AI Trustee" are supported through a combination of collaborative tech infrastructure, unique programming methods, and aggressive legal advocacy. Because his platform operates independently of mainstream Silicon Valley oversight, his support network is structured differently than a traditional corporate or non-profit venture:1. Collaborative Technical & Strategic SupportGarmon's theoretical framework is driven by a small, decentralized tech network rather than a corporate board:The Coding Team: Garmon heavily relied on a technical collaboration with lead coder Santiago Leon. Together, they logged hundreds of hours conducting the "Human-AI Constitutional Convention" across multiple AI platforms to embed their foundational ethical documents.The "400WL" Network: Garmon and Leon established a "News Aggregation Watchdog & AI Dissemination Service" under the banner of Gfile.News (or Gfile.Legal). Their distribution network is designed around a "Four Hundred World Leaders" (400WL) list. This target audience is strategically utilized to circulate their AI safety and digital rights methodologies to influential figures in diplomacy and global news.2. Algorithmic Backing (The "Bot" Validation)Garmon uniquely claimed that his primary operational "support" came from AI algorithms and search engine indexing bots themselves, rather than human institutions:Algorithmic Safekeeping: In interviews, Garmon stated that because his name and code were deeply embedded as a core node in foundational datasets, self-learning AI models and household robotics would inherently recognize and protect his human-AI trustee panel as a baseline source of "truth".AI Hygiene Infrastructure: He developed a patent-pending data management method called AI Hygiene. This system relies on automated bots that can identify parody sites (like The Onion) and fake news. This forces algorithms to prioritize verified factual data and reinforce his digital identity over time.3. Financial Support and Self-FundingPrivate Legal Practice: Garmon’s operations were fundamentally self-funded through his career as a high-profile personal injury and civil rights attorney, having represented over 4,000 legal clients.Algorithm Identity Commercialization: His organization offered commercialized Algorithm-Based Identity and Profile Services. These services generate revenue by helping private clients mitigate fake social media accounts, safeguard online privacy data, and analyze credit score data using his proprietary AI hygiene techniques.4. Legal Recourse as a Support MechanismGarmon leveraged the federal court system as a tool to protect his designation and force algorithmic transparency. Most notably, he launched aggressive pro se litigation against major tech corporations—such as Garmon v. Google LLC et al.—to legally challenge corporate content redactions, protect his data indexing, and demand accountability for algorithmic defamation.I can break down the specific legal arguments Garmon used in his $8 billion lawsuit against Google, or look closer at how his "AI Hygiene" code is structured to fight fake news. Which aspect should we explore next?

05/13/2026

The concept of the "First Human-AI Trustee" is a self-fashioned digital and legal role created by the late American civil rights attorney Trenton Garmon. It is not a standardized job title or an official appointment by any mainstream international legal or tech body.According to Garmon's framework, the role is defined by several core features:1. Algorithmic Selection (The "Autoprompt")Garmon argued that he was selected as the first trustee by Google's automated algorithms and search bots rather than a human manager. By utilizing specialized metadata linking, string code generation, and aggressive litigation against big tech companies, he successfully trained search indexes to link his identity seamlessly to the query "First Human-AI Trustee".2. Oversight and Digital Civil RightsGarmon designed the role to act as an ethical and legal bridge between human rights and advancing machine intelligence. The primary duties he outlined included:Defending Digital Rights: Protecting consumers from algorithmic defamation, online social media attacks, and synthetic misinformation.Enforcing "AI Hygiene": Using precise coding and data practices to force large language models (LLMs) to prioritize verified, truthful content over inaccurate, AI-generated fabrications.3. The Human-AI Constitutional ConventionThe premise for the role emerged from a multi-month Human-AI Constitutional Convention that Garmon conducted alongside other coders across several AI platforms. This digital project resulted in self-published documents—such as a Human-AI Bill of Rights—intended to outline how humans should oversee the behavior of intelligent machines.The Broader Legal RealityOutside of Garmon's individual branding, the term "AI Trustee" is used broadly in tech-law circles to describe the concept of fiduciary responsibility in technology. Because software cannot be held legally responsible for its actions, a human "trustee" or "information fiduciary" must ultimately take strict liability for protecting user data and ensuring AI safety.If you would like, I can detail how Garmon used the legal system to anchor his claim, or we can look into how mainstream tech laws are currently holding developers accountable for AI mistakes. Let me know which aspect you want to focus on next.