AI Tools & Technology Stack

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With 37 years in IT culminating in an intensive 2-year deep dive into AI development, I've built expertise across a very broad spectrum of AI tools and platforms. My approach combines rigorous testing of emerging technologies with practical implementation experience, ensuring clients benefit from both cutting-edge capabilities and proven solutions.

The Learning Never Stops

In the rapidly evolving AI landscape, yesterday's breakthrough is today's baseline. I dedicate significant time each week to:

• Testing new AI models and tools as they're released
• Evaluating real-world performance versus marketing claims
• Building proof-of-concepts with emerging technologies
• Contributing to open-source AI communities
• Maintaining active development environments across multiple platforms

This commitment to continuous learning means my clients always have access to the latest, most effective AI solutions.

Integrated Development Environments

• Bolt.new & v0.dev: Rapid AI-powered application development
• Google AI Studio: Direct model experimentation and fine-tuning
• Stackblitz: Cloud-based development with AI integration
• VSCode: Primary IDE with extensive AI plugin ecosystem
• Local Development: Custom environments for sensitive data processing

AI Coding Assistants

• Claude Code: Anthropic's powerful coding companion
• GPT Codex: OpenAI's code generation capabilities
• Cline: Advanced AI pair programming
• Windsurf: Next-generation AI development platform
• Cody & Copilot: Context-aware code completion and generation

Commercial LLMs

• Anthropic Claude: Opus, Sonnet, and Haiku models for different use cases
• OpenAI ChatGPT: GPT-4, GPT-4o, and specialized models
• Google Gemini: Multi-modal capabilities and long context windows
• NotebookLM: Document analysis and research assistance
• NVIDIA NIMs: Optimized enterprise model deployment

Open Source & Local Models

• DeepSeek 3: State-of-the-art reasoning capabilities
• Mistral: Efficient European models with strong multilingual support
• Phi-4: Microsoft's compact yet powerful models
• Llama 3.3: Meta's latest open-source offerings
• Mixtral: Mixture of experts architecture for enhanced performance

Vector & Graph Databases

• Qdrant: High-performance vector search for semantic retrieval
• Weaviate: AI-native vector database with built-in modules
• Neo4j: Graph database for complex relationship modeling
• Plus Many Others

Traditional & Cloud Databases

• Microsoft Fabric: Comprehensive data platform with SQL integration
• Google Firebase: Real-time database with AI-ready APIs
• Supabase: Open-source Firebase alternative with vector extensions
• PostgreSQL: Battle-tested with pgvector for AI applications

Languages & Frameworks

• Python: Primary language for AI/ML development
• React Native & Node.js: Full-stack JavaScript for web and mobile
• Tailwind CSS: Rapid UI development
• Rust: High-performance system programming
• Swift: Native iOS development with CoreML integration

UI/UX Design

• Figma: Collaborative design with AI plugins
• 21st.dev: AI-first design tools

Workflow Automation

• n8n: Visual workflow automation with AI node integration
• Docker: Containerized AI model deployment
• AI Agents: Autonomous systems using LangChain, AutoGPT frameworks
• MCP Servers: Model Context Protocol for enhanced AI interactions

Every tool in my stack has been:

1. Personally evaluated through hands-on projects
2. Stress-tested with real-world data and use cases
3. Compared against alternatives for performance and cost
4. Integrated into production systems
5. Monitored for ongoing performance and updates

Every new tool that is tried is a new learning opportunity to do it better next time, 

and choose the right tools for the requirements

My daily routine includes:

• Morning: Review latest AI model releases and updates
• Development: Hands-on experimentation with new tools
• Analysis: Performance benchmarking and cost analysis
• Documentation: Maintaining detailed notes on capabilities and limitations
• Community: Engaging with AI developer communities and forums

What This Means for Clients

When you work with me, you benefit from:

• Current Knowledge: Solutions using the latest, most effective tools
• Informed Decisions: Honest assessments of what works and what doesn't
• Cost Optimization: Strategic tool selection based on your specific needs
• Future-Proofing: Architecture that can adapt to new AI capabilities
• Rapid Implementation: Familiarity with tools means faster development

Beyond the Tools

While mastering tools is important, my 37 years in IT have taught me that success comes from:

• Understanding business requirements deeply
• Choosing the right tool for each specific challenge
• Integrating AI seamlessly into existing workflows
• Building solutions that non-technical users can operate
• Maintaining security and compliance standards

Continuous Evolution

The AI landscape changes daily. New models, frameworks, and tools emerge constantly. 

• Test everything relevant
• Master the game-changers
• Pass the benefits to my clients
• Never stop learning

Ready to leverage the full power of modern AI tools for your business?