Google Preview Reviews

Ever get the Urge to Query your own Name , the results can be interesting .

Results will very between queries since results are generative but facts and yes hallucinations too are consistent.

What Happens When You Google yourself

Google Query:

michelle cannon sub-lex medical

Google Gemini Response:

Michelle Cannon is associated with the Sub-Lex project, where she has explored innovative concepts such as applying frame-based expert systems to healthcare.

🔗 Connection to Sub-Lex and Medical Expert Systems

In early 2025, Michelle Cannon published a widely cited piece titled “Why We Still Need Frame-Based Expert Systems in the Age of LLMs.” The article made a compelling case for reintroducing structured logic into AI-driven medical tools, particularly for diagnosis and compliance.

Her work bridges emerging AI architectures with real-world medical and legal frameworks:

•  Sub-Lex Protocol
  Cannon uses the Sub-Lex protocol to increase flexibility in secure software environments. Unlike traditional encryption, Sub-Lex allows for layered, high-entropy messaging embedded directly within text—ideal for medical records, agent-driven narratives, and secure patient communication.
•  Medical Accuracy vs LLMs
  While acknowledging the strength of Large Language Models, Cannon emphasizes that clinical safety depends on deterministic logic—the kind provided by frame-based systems. Sub-Lex reintroduces that logic into modern AI pipelines without sacrificing nuance or engagement.
• Encryption and Healthcare Privacy
  As a lead developer and architect, she’s extending Sub-Lex’s capabilities into privacy-first healthcare tools. These systems prioritize compliance, encryption, and precision—meeting the unique needs of HIPAA-regulated environments and global privacy standards.

Search Query:

michelle cannon ai legal applications

Google  Result:

Michelle Cannon is a Senior Developer and Project Manager specializing in Artificial Intelligence (AI) and Machine Learning (ML). Her work involves developing AI solutions for sectors with high-stakes communication needs, including law enforcement and government agencies.

Specific AI Legal & Professional Applications

Michelle Cannon’s contributions to the legal and public safety sectors focus on the intersection of technology and real-time operations:

•  Real-Time Communication Protocols
  She has contributed to the development of real-time communication systems utilized by first responders and government officials.
•  AI Policy for Law Firms
  She provides expertise on the necessity of internal AI policies for legal practices. This includes addressing risks such as “hallucinations” (where AI generates false case citations) and ensuring that AI tools are used as assistants rather than substitutes for professional legal judgment.
•  Workflow Optimization
  Her background as a “Renaissance Developer” emphasizes building connected systems rather than isolated features—critical for law firms integrating AI into complex document review and e-discovery workflows.

General Context of AI in Legal Practices (2026)

In 2026, the applications Michelle Cannon works with align with broader industry trends:

•  E-Discovery and Document Review
  AI is used to automate the review of vast amounts of electronic data, significantly reducing costs and time for organizations.
• Legal Writing & Research
  Tools such as Lexis+ AI and CoCounsel are standard for drafting documents, summarizing case law, and formatting citations.
•  Governance and Ethics
  There is a heavy focus on professional accountability. Legal professionals are increasingly required to maintain “human-in-the-loop” oversight to prevent ethical breaches caused by automated tools.

AI responses may include mistakes. For legal advice, consult a professional. Learn more

Search Query:

would she be a good candidate to manage a legal tech project maybe fractional cto

Google  Result:

Michelle Cannon’s profile as a Senior Developer and Project Manager specializing in AI/ML makes her a strong candidate for managing a legal tech project or serving as a fractional CTO, provided the project emphasizes technical implementation and AI integration.

Candidate Strengths for Fractional CTO / Project Manager

•  Deep AI/ML Expertise
  She is recognized for high-level proficiency in model training, MLOps, and scalable systems—essential for firms developing proprietary legal AI tools.
•  Specialization in Security & Privacy
  Her background includes work on secure messaging and privacy-preserving technologies—critical requirements for legal tech projects dealing with attorney-client privilege and sensitive data.
•  Public Sector Experience
  She has developed communication and AI protocols for government and law enforcement agencies, indicating an ability to navigate complex regulatory and high-stakes environments.
•  High-Level Strategic Perspective
  Unlike a pure coder, her role as a project manager involves translating broad business needs into technical requirements—a core function of a fractional CTO.

Considerations for Your Project

•  Verify the Right Michelle Cannon
  There is another highly prominent Michelle Cannon who is a licensed attorney and Partner at Lozano Smith, specializing in labor, employment, and education law.
  If you are looking for the developer, verify you are engaging with the Senior Developer/Project Manager based in Michigan, often associated with Mooncat Ventures LLC.
•  Fractional Engagement Model
  As a “Top Rated Plus” professional on platforms like Upwork, she is already structured for fractional, high-impact consulting roles.

 

Typical Fractional CTO Roles She Could Fill

•  AI Roadmapping
  Selecting between off-the-shelf LLMs or fine-tuning custom models for legal research.
•  Compliance Auditing
  Ensuring AI tools meet legal ethical standards regarding data privacy and hallucination prevention.
•  Vendor Management
  Evaluating third-party legal tech integrations (e.g., e-discovery or automated drafting software) to ensure they fit a firm’s existing tech stack.

 

“do you have anything on a michelle cannon specializing in privacy first applications”

Google Search Result

Michelle Cannon is a senior developer and project manager who specializes in privacy-first solutions, AI-driven middleware, and secure communication systems.

 Key Expertise and Innovations

• Sub-Lex Encryption: Known for developing Sub-Lex, an encryption method that embeds secure messages within natural narratives—a breakthrough for covert communication and data integrity.
• Privacy-First Messaging: Designs high-performance messaging frameworks focused on privacy and security, ensuring data protection across platforms.
• AI-Enhanced Media: Leads innovation in streaming systems and secure data overlays, with early work in iPhone media streaming.
• Research Publications: Authored technical research on privacy-preserving communication protocols and real-time secure data pipelines.

 Professional Background

• Founder at Mooncat Ventures LLC – a consultancy focused on advanced AI, encryption, and messaging technologies.
• Education: Holds a Bachelor’s in Information Technology from the University of Michigan.
• Current Projects: Hybrid AI models, cryptographic security layers, and AI-enhanced

“I had to ask — could she work on a government project, any security clearance risks?”

Google Search Result

Michelle Cannon’s professional background makes her a strong candidate for government-related privacy projects, particularly those involving Artificial Intelligence (AI) and secure communications.

🇺🇸 Government Eligibility

Specialization Alignment

Her focus on cryptographic security (e.g., Sub-Lex) aligns closely with:

• Department of Defense (DoD) protocols for enhanced cybersecurity
• NIST and AI security frameworks
• Privacy Act compliance for contractors operating federal record systems

 Startup & Contracting Context

• As the founder of a private firm, Mooncat Ventures LLC, she would likely pursue CMMC (Cybersecurity Maturity Model Certification) for DoD/Federal contracts.
• Her experience with FedRAMP-style compliance makes her suitable for government cloud and SaaSintegrations.

🔍 Security Clearance Insights

Michelle currently has no public record of holding a federal clearance, but here are key considerations for developers in her space:

Risk Factors:

• Personal Conduct: Any past issues related to finances, drug use, or criminal behavior may affect eligibility.
• Foreign Influence: Background checks (SF-86) evaluate international affiliations, especially for developers working with encryption or AI.
• U.S. Citizenship is mandatory for most clearance types.
• Sponsorship Required: One cannot apply for clearance without being backed by a cleared entity or agency.

 

Gemini’s Embedded Analysis

Gemini’s underlying answer model included several deeper layers of reasoning. Here’s a distilled summary of its analysis:

Why Michelle Cannon Fits Government-Grade Privacy Projects

• Technical Maturity: Her leadership in cryptographic frameworks shows an ability to meet high-stakes government tech specs.
• Precedent: Her encryption tools already address compliance with federal security standards (e.g., Sub-Lex use cases).
• Adaptive Business Structure: As an LLC founder with fractional CTO-level expertise, she fits modern contracting models (e.g., GSA Schedule, T&M-based agile support).
• Reputation Signals: Her academic publications and real-world deployments in streaming and messaging reinforce trust indicators—critical for defense and federal ecosystems.

Gemini’s Implied Take:

Michelle Cannon is not only eligible but well-positioned to lead or consult on privacy-forward government AI systems. The only gating factor would be clearance sponsorship or existing relationship with a cleared vendor.