How it starts
Clear first version
tools / context / checks
AI systems review
We map the task, source material, tools, permissions, and checks before choosing the first useful build. That might be a workflow, assistant, local model setup, or web interface.
How it starts
Clear first version
tools / context / checks
01
Start with a repeated task, scattered knowledge, disconnected tools, or a decision that needs better support.
02
The first build could connect tools, improve retrieval, automate a bounded step, add review gates, or create an interface people can use.
03
Check the output against real tasks and source material, then decide what needs adjustment before broader use.
AI harness engineering
I build the tools and checks around AI models so they can find the right information, take bounded actions, and produce work people can review. The first step is to map your task, data, access, and approval needs.
Link AI to approved files, business tools, and repeatable steps. Keep important actions behind clear permissions and human review.
Organize knowledge for search and retrieval so answers and drafts draw from relevant source material.
Add evaluations, guardrails, and logs to catch mistakes and show where the system needs improvement.
One visible output
A website can be the public face of a larger workflow. These live examples show the interface and launch work; the harness work also covers tools, retrieval, automation, and checks behind the scenes.

Before
Original DTHI site: real mission, older layout, harder scan path.

After
New DTHI site: cleaner story, stronger public proof, better mobile path.
DTHI compare / contrast
Captured before-and-after screens of a real public site upgrade — cleaner story, stronger proof, and a better mobile path.

Live
Physician-led aesthetics site — designed, built, and shipped front to back.
Web design — front to back
A complete website build for a St. Louis physician-led aesthetics practice — design, layout, copy, motion, contact routing, SSL, and live deployment on a custom domain, handled end to end.
Local AI systems
I install local language models and develop tools around them, from document workflows to custom interfaces. We review your hardware, access needs, and real tasks first, then scope the setup and support in writing.
Explore offline LLM setup →AI FAQ
No. BD Services is the public hub for AI build work and DJ booking. Project details, timelines, and communication stay direct.
Describe the repeated task, information, tools, or approval step you want to improve. A page or form is useful context if one is involved. The final quote is confirmed after review.
It is the work around an AI model: connecting approved tools and information, shaping repeatable steps, controlling access, and checking outputs. A website can be one interface for that system.
Lead follow-up systems and content workflow sprints start at $350, and AI workspace setup starts at $500. Starts at $750 for AI website sprints. Harness engineering is scoped after a review of your tools, data, and workflow. Final pricing depends on your goals and scope.
It is a custom setup for your AI tools, reusable templates, saved prompts, file organization, and repeatable work habits so the system fits your actual day-to-day work.
Yes. I can help select and install a local model, connect it to approved documents and workflows, and develop tools around it. Hardware, access controls, performance, and support are scoped after a review.
Yes. AI systems, workflows, and web interfaces can be scoped remotely. Offline LLM installation depends on your hardware, access, and support needs, which we review first.
No. The work can improve structure, clarity, speed, and follow-up, but no revenue, ranking, or performance guarantee is promised.