Implementation, Control,
and Practice
Hands-on guidance for teams deploying AI in the real world.
30+ Years Tech Experience. I work with teams deploying AI where mistakes are expensive. My focus is control: how models behave in real environments, where workflows break, and how to design interfaces that keep humans in charge.
This is not tool evangelism. It’s decision support, system design, and practical leverage using the models available today.
Foundations & Lab
The Guided Prototype. We pick a target or use case and build it. You leave with a working proof-of-concept and the knowledge of how to control it.
- Select from a predefined project list or bring a use case
- Building and probing small models/agents in Python
- Understanding limitations and failure modes
- Control points between humans, code, and models
- What is possible today without chasing headlines
Intervention & Workflow
The Surgical Fix. You provide the use case or the broken workflow. We architect the solution, fix the integration, and restore control.
- Specific problem solving for production systems
- Inserting AI into established workflows
- Designing interfaces that constrain behavior
- Correcting unstable or poorly designed integrations
- Translating intent into reliable system behavior
Half-Day
$9993–4 hours, focused.
Ideal for Scope I (The Lab) or a specific architecture review.
Full-Day
By ProjectDeep work on architecture, control, and execution.
Includes comprehensive review and implementation planning.
Extended
RetainerOngoing advisory, oversight, or build support.
Weekly or monthly cadence.