AI Skills — Joe Gardner / JNG Media

AI Systems Architecture

Core technical discipline.
Built & deployed in production.

Prompt Engineering AI System Architecture Multi-Agent Orchestration Cognitive OS Development Invisible Operator Design Domain Grounding Variable-Rate Grounding Drift Resistance Architecture Cross-Domain Safety Orchestration Context Window Management Agentic Workflows Logic Vault Design Knowledge Management Systems Private AI Ecosystems Constraint-Based Prompting Systemic Triage Logic

BEDAMD: 8-component multi-agent AI OS — invisible routing Manager, 6 domain specialists, 79-volume ISBN-indexed knowledge base, variable-rate grounding, cross-disciplinary safety audits. Zero code. Deployed on Claude + Gemini across 4+ accounts. Independent peer review: Grok/xAI — "one of the cleanest, most self-consistent personal AI frameworks I have ever examined."

Knowledge Architecture & Corpus Design

The library is the ground truth.
Not a supplement to the AI.

Corpus Design RAG Alternative Architecture Retrieval-Augmented Generation (RAG) ISBN-Indexed Reference Architecture Physical Knowledge Grounding Citation-Enforced Output Specialist Role Mapping Domain Boundary Definition Verifiable AI Output Cross-Domain Safety Audits

79 physical reference volumes selected, acquired, and ISBN-indexed across 8 domains (law, machining/engineering, home repair, reconstruction, species ID, medical, finance/math, philosophy). Each specialist role mapped to a precise source subset. Documented competitive analysis vs. RAG and enterprise stacks — 11-dimension comparison table. Gemini/Google DeepMind review: system "converts probabilistic AI behavior into verifiable, traceable research assistance."

Platform Fluency & Deployment

Outcome-driven.
Not platform-loyal.

Claude (Anthropic) Gemini (Google DeepMind) Grok (xAI) ChatGPT / DALL-E (OpenAI) LM Studio Qwen Gemma Local LLM Deployment Cross-Platform AI Deployment Private AI Ecosystems Content Filter Navigation Multi-Turn Behavioral Consistency Claude Projects (.md config)

Daily working proficiency across 4 major platforms with deliberate role assignment: Claude — primary architecture, documentation, long-context project management. Gemini — secondary deployment and research. Grok — image/video generation. ChatGPT — DALL-E image generation. Local model deployment active (LM Studio/Qwen/Gemma) — dedicated AI lab hardware Q2 2026.

AI Visual & Video Production

Commercial deployments.
Not demo work.

AI Image Generation AI Video Generation Character Design Brand System Development Art Direction Style Consistency Management Character Bible Authorship Commercial Asset Production Real-Photo Composite Integration Branded Asset Design Short-Form Video Production Multi-Format Deployment Platform-Agnostic Post-Production ChatGPT / DALL-E Grok Aurora CapCut Adobe Audition GoPro Quik YouCut ClipChamp Frame Grabber

Meem's Fudge Shoppe: 40+ AI-generated brand characters and assets — photorealistic 3D style maintained across solo portraits, group compositions, vehicle designs, branded environmental assets, and real-photo composites. Full character bible per character (personality, voice, key phrases, use cases). AI video generation via Grok Aurora — 6-second chunks assembled to :30 branded finished units. Tool selection platform-agnostic, task-driven.

Broadcast AI Applications

Niche nobody else
can claim.

Broadcast AI Applications AI Editorial Systems Design Automated Content Pipeline RSS Integration Multi-Source Data Architecture Voice-Tracked Content Design Editorial Standards Development Subscription Content Products AI Content Aggregation Zero-Disruption Integration Design Advance-Planning Source Discipline

WCDO Daily: AI-assisted broadcast intelligence report for WCDO Radio (100.9/92.3 FM) — regional news, sports, civic logistics, community calendar across tri-county area. Schedule Galaxy RSS for 18 school districts. Custom editorial badge system with stacking rules. Designed for voice-tracked pre-recorded delivery. End-state: 5am automated pipeline, modular web publication.

AI Product Development

Zero-to-launch.
No dev team.

AI Product Development Zero-Code AI Build Prompt-Only Architecture AI Technical Writing Competitive AI Analysis Acquisition Strategy AI Consulting Pricing Model Design Subscription Product Architecture AI Brand Voice Development System Documentation Whitepaper Authorship Digital Transformation Workflow Automation

Full-cycle AI product build: BEDAMD — concept to commercial site in ~5 weeks. 20+ page website (plain HTML/CSS/JS), full system architecture documentation (11 pages), LAIOS vs. RAG competitive analysis (3 pages, 11-dimension table), acquisition teaser brief targeting Google/Anthropic/Meta, 4 published case studies, 9 published use case pages. Pricing: $7/month · $60/year · $200 lifetime. bedamd.com.

Adversarial Testing & Platform Evaluation

Three operating modes.
Stress-tested findings.
Not vendor claims.

Adversarial Prompt Testing AI Red-Teaming AI Platform Stress Testing Failure State Documentation Guardrail Boundary Mapping Behavioral Consistency Evaluation Prompt Attack Resistance Validation Drift Resistance Validation Cross-Platform Comparative Analysis Multi-Account Deployment Validation Concurrent AI Project Management

Three defined operating modes: (1) General/consumer — quick queries, search replacement. (2) Collaborative — primary mode, long-context project management and production output. (3) Adversarial — deliberate failure-state induction to map system boundaries and validate behavioral consistency under pressure.

Platform stress-test findings (documented): Claude — maintenance mode induced 6–7 confirmed instances · Gemini — failure states documented under sustained adversarial pressure · Grok — multiple confirmed no-answer/befuddlement states · ChatGPT — breaks under standard collaboration; dedicated adversarial testing not warranted. Platform selection decisions are informed by these findings, not vendor positioning.

Diagnostic Methodology & Systems Intuition

The through-line.
Running since 1992.
Before it had a name.

Reverse Engineering via Stress Testing Diagnostic Systems Methodology System Boundary Mapping Root Cause Analysis Pattern Recognition Across Platforms Internal Architecture Inference Learn-by-Breaking Methodology Platform-Agnostic Systems Evaluation Workflow Reverse Engineering

Stress the system until it shows you how it works. Break it, reverse-engineer what broke, build it better. Applied consistently since 1992 — long before it had a name — across broadcast automation (Smartcaster redesign), aerospace machining (Vuxi), enterprise ERP (NetSuite: "AS400 with a slicker UI"), production software (Cool Edit → Audition → Premiere pipeline), technical support (DESA warranty drain root cause), and AI platforms (cross-platform failure state documentation). The result is the same every time: faster mastery, root-cause solutions, and a forensic understanding of how tools work internally without ever seeing the underlying code.