AI as a Productivity Multiplier
I don't just ask AI random trivia questions — I get it to do the work. As an early adopter of AI technology, I've developed expertise in leveraging large language models for practical, production-level tasks. This frees me to focus on higher-level creative and strategic work while AI handles the heavy lifting.
AI Tools & Platforms
- ChatGPT / GPT-4: Advanced prompting, custom instructions, API integration
- Claude / Anthropic: Long-form writing, analysis, and coding assistance
- GitHub Copilot: AI-assisted code completion and development
- Image Generation: Midjourney, DALL-E for visual content creation
- Specialized Tools: Whisper for transcription, AI voice synthesis
Practical Applications
- Content Generation: Drafts, outlines, and first passes on writing projects
- Code Development: Rapid prototyping, debugging, and code review
- Data Analysis: Pattern recognition, summarization, and insights extraction
- Automation: Building AI-powered workflows and integrations
- Learning: Using AI as a personalized tutor and research assistant
Prompt Engineering
- System prompts and custom instructions for consistent output
- Chain-of-thought prompting for complex reasoning tasks
- Few-shot learning with examples for specialized outputs
- Context management for long conversations and projects
Philosophy
AI is a force multiplier, not a replacement. I use AI to handle repetitive tasks, generate starting points, and accelerate iteration — so I can devote more energy to the creative, strategic, and interpersonal work that humans do best.