AI Practice

Practical AI,
Not Hype

I help organizations integrate AI into actual workflows. Not chatbots on websites. Not trend-chasing. Real leverage in real processes.

Early adopter since 2022. Started with ChatGPT and OpenAI APIs for learning and content generation. Moved to Llama models for specialized work. Exploded my capabilities with VS Code Copilot and Cursor. Now building entire systems with Claude Code.

What I Build
01

Workflow Integration

Identifying where AI fits naturally in your processes. Email drafting, document analysis, code review, research synthesis—implemented properly, not bolted on.

Email automation Document processing Research synthesis
02

Custom Tooling

Building internal tools that leverage AI APIs. Custom prompts, automation pipelines, integration with your systems. Interfaces your team will actually use.

Internal apps API integration Custom interfaces
03

Strategic Adoption

Helping leadership understand what AI can and can't do. Realistic roadmaps, cost/benefit analysis, risk assessment. No hype—just honest evaluation.

Roadmapping Cost analysis Risk assessment
04

Training & Enablement

Teaching your team to use AI effectively. Prompt engineering, best practices, hands-on workshops. Documentation for sustainable adoption.

Workshops Prompt engineering Documentation
Core Capabilities

AI-First Workflow Design

Rebuilding processes with AI as a native capability, not an afterthought. Identifying bottlenecks where AI creates genuine leverage.

Claude Integration & Optimization

Deep expertise with Claude. Prompt engineering, system prompts, tool use, extended context strategies, and API implementation.

Internal Automation

Systems that run autonomously. Scheduled reports, data processing, content generation, research synthesis. Reducing manual overhead.

Cost Optimization

Making AI sustainable. Token management, caching strategies, model selection, architectural decisions that keep costs predictable.

Adoption Strategy

Change management for AI. Getting buy-in, training teams, measuring impact. Ensuring adoption actually sticks beyond initial enthusiasm.

My Approach

Practitioner,
Not Theorist

1
I use this daily.

Claude is embedded in my own work—every day, for real problems. Skip the experimentation phase and go straight to practical implementation.

2
I'll tell you when AI isn't the answer.

Some problems don't need AI. Some organizations aren't ready. I'll be honest about what you'd need to change to make it work.

3
Sustainable implementation.

Systems that work reliably, costs that stay predictable, adoption that lasts beyond initial enthusiasm. Built to run, not just to impress.

Technical Toolkit
Claude (Sonnet, Opus, Haiku) OpenAI APIs Prompt Engineering System Architecture Automation Workflows API Integration Cost Optimization Internal Tooling

Good Fit

Projects I can help with:

  • Specific workflows you want to streamline with AI
  • Internal tools that need AI capabilities
  • Teams ready to adopt AI into daily work
  • Organizations looking to measure real ROI from AI investment

Getting Started

Not sure where to begin? That's fine:

  • We can start with a workflow audit to find opportunities
  • Small pilot projects help prove value before scaling
  • Training sessions can build internal capacity first
  • Strategy conversations clarify what's realistic
Current Availability

Selective Engagements

I work best with organizations that:

✓ Have concrete problems AI can solve
✓ Understand their workflows well enough to collaborate
✓ Are committed to implementation, not just strategy
✓ Have realistic timelines (AI adoption takes longer than you think)

Let's Talk About AI

If you have a real problem and think AI might help, let's discuss it.

Schedule a Call