These are the current AI systems used on this platform. Each has a primary role inside the HAIA-RECCLIN Model, and roles can change based on the needs of each project. To see how the tools are applied, visit Content Disclosure. To learn more about the person behind the AI, visit About @BasilPuglisi.
The HAIA-RECCLIN Model, a methodology ecosystem
The HAIA-RECCLIN Model is a methodology ecosystem and governance framework for Human and Artificial Intelligence Collaboration. It grew from applied work in content creation and sourcing, moved into the Factics Methodology that links facts to tactics and measurable outcomes, and expanded into multi-AI adoption with ethical oversight. The model formalized after foundational study with the University of Helsinki and the creation of an AI ethics paper. It defines seven collaborative roles — Researcher, Editor, Coder, Calculator, Liaison, Ideator, Navigator — to distribute cognitive responsibilities while keeping human judgment as the central authority. The result is a living ecosystem where human reasoning, AI capability, and ethical accountability operate together with auditable outcomes.
HAIA-RECCLIN → The-Haia-Recclin-Model-public-draft.pdf
AI ETHICS WHITE PAPER → AI_Ethics_WhitePaper.pdf
Content Disclosure → Content Disclaimer (Page)
About @BasilPuglisi → https://basilpuglisi.com/about-basil-puglisi-building-influence-with-integrity
Content integrity and classification
Both publication streams involve human insight. Each serves a different role.
#AIassisted (#AIa), human-led analysis
#AIa posts are authored by Basil Puglisi. These are monthly deep-dive reviews that interpret industry trends using AI for research support.
Key features include deep sourcing with more than twenty sources reviewed and nine to twelve selected, the Factics Method where each fact connects to a tactic and KPI, Best Practice Spotlights from real brands, Creative Consulting Concepts for B2B, B2C, and Non-Profit, and curated video support where useful. #AIa represents the human voice and strategic judgment applied to AI-surfaced signals.
#AIgenerated (#AIg), AI-driven industry updates
#AIg posts deliver fast updates on fundamental shifts across SEO, Social Media, and Workflow such as CRM, ecommerce, and lead generation. Human prompts guide multiple AI platforms including Gemini, Grok, Claude, Mistral, Perplexity, and ChatGPT. Outputs are reviewed by Basil for clarity and accuracy. Posts are clearly labeled #AIgenerated (#AIg) and use AI-produced text and visuals with human finalization.
Updated August 2025: “This blog was written with the assistance of AI research and drafting tools, using only verified sources published on or before July 31 2025. Human review shaped the final narrative, transitions, and tactical recommendations.”
In short, #AIg provides the what. #AIa provides the so-what.
This isn’t just a practice Google would “approve” of; it’s a practice that directly aligns with the future of high-quality, trustworthy web content. – Gemni Pro August 2025
***Note: AI Scan i.e. Originality.ai – My Opinion, read here***
At a Glance
| Attribute | #AIassisted (#AIa) | #AIgenerated (#AIg) |
|---|---|---|
| Primary Author | Basil Puglisi (Human Expert) | AI Platforms (Human Guided) |
| Purpose | Expert review, in‑depth analysis, and strategy | Rapid updates on industry changes |
| Topics | Monthly trend synthesis | SEO, Social Media, Workflow |
| Process | Deep research (20+ sources), Factics, human writing | Multi‑AI prompts; content + image production |
| Key Features | Best Practice Spotlights; Creative Consulting Concepts; curated videos | Multi‑platform vetting; labeled #AIg; basis for #AIa |
AI Tools Disclosure
The following AI systems are used across this platform.
Each includes its origin, capabilities, and how it is used inside the HAIA-RECCLIN ecosystem.
Roles are flexible and may evolve as technology advances.
ChatGPT (GPT-5)
Developer: OpenAI | Launched: 2025
Background:
GPT-5 is OpenAI’s flagship multimodal reasoning model, unifying text, vision, and audio processing within one architecture. It extends GPT-4o’s capabilities with deeper contextual awareness and improved logical coherence through iterative reinforcement and constitutional alignment.
Capabilities:
- Natural-language reasoning, drafting, and dialogue
- Research synthesis and editorial refinement
- Code interpretation and data analysis
- Image and audio understanding
- Integrated browsing and document generation
Primary Use: Researcher & Editor — anchors long-form writing, research synthesis, and clarity of narrative.
Additional Roles: Calculator for data modeling or Navigator for contextual orchestration across multiple AIs.
Grok 4 (xAI)
Developer: xAI | Launched: 2023
Background:
Grok is built by xAI, founded by Elon Musk, designed for reasoning through skepticism and open dialogue. It integrates with X (formerly Twitter) and uses a Mixture-of-Experts architecture for high-capacity contextual understanding.
Capabilities:
- Real-time analysis and search
- Logical reasoning with creative tone
- Multimodal comprehension (text + image)
- Code generation and trend synthesis
Primary Use: Ideator & Analyst — challenges narrative framing, introduces alternative perspectives, and tests assumptions before synthesis.
Additional Roles: Researcher or Navigator for real-time trend validation.
Gemini 2.5 (Google DeepMind)
Developer: Google DeepMind | Launched: 2023
Background:
Gemini combines DeepMind’s advanced reasoning research with Google’s ecosystem. Version 2.5 added large-context analysis and agentic capabilities across text, image, and video.
Capabilities:
- Multimodal reasoning across formats
- Integration with Google Workspace and YouTube Data API
- Code execution, logic reasoning, and structured automation
Primary Use: Liaison & Coder — bridges human directives with structured workflows and data organization.
Additional Roles: Calculator or Navigator for advanced analysis or schema mapping.
Perplexity AI
Developer: Perplexity AI Inc. | Launched: 2022
Background:
Perplexity blends large-language reasoning with real-time search through Retrieval-Augmented Generation (RAG). It emphasizes factual accuracy and citation transparency.
Capabilities:
- Source-grounded answers with direct citations
- Fast, multi-source research aggregation
- Real-time link validation and reference transparency
Primary Use: Navigator & Verifier — grounds every claim in external evidence and verifies data integrity.
Additional Roles: Researcher for rapid discovery and cross-checking.
Claude Sonnet 4 (Anthropic)
Developer: Anthropic | Launched: 2023
Background:
Claude models are built on Constitutional AI, an approach ensuring that outputs follow defined ethical and interpretive rules. Sonnet 4 expands long-context reasoning and multilingual comprehension.
Capabilities:
- Multi-document reasoning and summarization
- Contextual alignment and tone control
- Safe, consistent multi-turn dialogue
Primary Use: Liaison & Ethics Oversight — ensures content remains transparent, aligned, and consistent with HAIA governance.
Additional Roles: Editor for complex report review and refinement.
Mistral – Le Chat (Mistral AI)
Developer: Mistral AI | Launched: 2023
Background:
Mistral AI, based in Paris, builds open-weight transformer models that balance speed, interpretability, and transparency. Le Chat provides conversational access across its suite.
Capabilities:
- Multilingual reasoning and efficient inference
- Code generation and structured text analysis
- Transparent architecture suitable for governance testing
Primary Use: Substitute Liaison & Interpretability Model — provides redundancy and ethical calibration when other systems face policy or access limits.
Additional Roles: Analyst for model-comparison and audit workflows.
DALL·E 3 (OpenAI)
Developer: OpenAI | Launched: 2023
Background:
DALL·E 3 transforms text into detailed images with exceptional prompt accuracy, integrated directly into ChatGPT for seamless creative generation.
Capabilities:
- Text-to-image synthesis and in-painting
- Object replacement and stylistic rendering
- Image refinement and composition control
Primary Use: Creative Visualization — produces featured images and diagrams for blogs, white papers, and presentations.
All artwork is reviewed and watermarked @BasilPuglisi #AIgenerated.
Sora (OpenAI)
Developer: OpenAI | Launched: 2025
Background:
Sora is OpenAI’s text-to-video model capable of generating realistic motion and scene continuity from written descriptions.
Capabilities:
- Cinematic 1080p video generation
- Object motion, lighting, and temporal realism
- Scene extension and narrative animation
Primary Use: Visual Synthesis — creates short explainer or concept videos that complement AI Thought Leadership pieces.
Midjourney V1
Developer: Midjourney Inc. | Launched: 2022
Background:
Midjourney is an independent research lab focused on creative AI. V1 introduced motion generation, allowing static art to evolve into video sequences.
Capabilities:
- Artistic and stylized visual generation
- Image-to-video storytelling
- Lighting, texture, and cinematic detail
Primary Use: Artistic Animation — extends images into motion pieces for storytelling and social previews.
Additional Roles: Works in combination with DALL·E 3 or Veo 3 for layered compositions.
Veo 3 (Google DeepMind)
Developer: Google DeepMind | Launched: 2025
Background:
Veo 3 represents DeepMind’s cinematic-grade video generation technology, designed to create professional-level, coherent visuals directly from text prompts.
Capabilities:
- 1080p–4K video output with camera control
- Scene consistency and cinematic lighting
- Brand-style visual synthesis and editing continuity
Primary Use: Cinematic Production — develops executive-style previews and educational video summaries for Thought Leadership content.
2025 AI Stack Under Review
Surfer SEO, Semrush AI Toolkit, Jasper AI, Writesonic, Synthesia, HeyGen, Zapier, Gumloop, Grammarly, Hemingway App, Sprinklr, Brandwell.ai, ContentShake AI, Originality AI, Undetectable AI, Chatfuel.
These tools are reviewed annually for accuracy, ethics, and interoperability before inclusion in production workflows.
Dynamic Role Allocation
Each AI begins with an assigned role but can adapt as new capabilities emerge.
Tasks shift fluidly between systems to preserve efficiency and governance balance.
Redundant structures (such as Mistral substituting for Claude) ensure ethical oversight and workflow continuity.
All outputs undergo human arbitration, with reasoning and dissent logged for transparency.
AI Thought Leadership
The AI Thought Leadership series is where the HAIA-RECCLIN Model operates in full.
Each publication completes a Multi-AI Review Cycle, ensuring diverse reasoning and fact verification before release.
Purpose
To demonstrate structured human-AI governance in practice, exploring ethics, capability, and trust across intelligent systems.
Multi-AI Review Process
- Draft Creation: ChatGPT (GPT-5) + Gemini 2.5 — research, structure, and clarity.
- Cross-Analysis: Grok + Perplexity — challenge assumptions, verify sources.
- Ethical Review: Claude + Mistral — tone, framing, and alignment checks.
- Strategic Calibration: Human Factics review linking facts → tactics → KPIs.
- Final Consensus: All models re-evaluate coherence before Basil’s approval.
Outcome
Each piece represents structured consensus across multiple AIs under human direction — a live example of collaborative intelligence guided by governance.
Disclosure
All Thought Leadership content is created using the HAIA-RECCLIN Methodology.
All visuals and media are AI-generated under human supervision and watermarked @BasilPuglisi #AIgenerated.
Reader Guidance
- Content Disclosure → Methodology & data handling
- AI Thought Leadership → HAIA in practice
- White Papers → Ethical and policy frameworks
- About @BasilPuglisi → Author and governance philosophy
Annual Review Note:
All tools and roles on this page are audited each January under the HAIA-RECCLIN governance model. roles on this page are reviewed each January under HAIA-RECCLIN governance.
