FAQs

It represents the spark of innovation and keeping your brain sparking with new knowledge daily in this fast-changing landscape.

Yes, both full-time and as source expert strategic partners.

My sister company for public and individual training.

Yes. I do paid speaking engagements. I customize the presentation to the audience and make it interactive.

My proprietary prompt engineering framework: Frame context, Focus content by iterating, and Finish by polishing and verifying.

I spend hours every morning studying updates because technology changes every 24 hours.

One of the biggest mistakes leaders make is thinking AI is an IT project rather than a people and change management project. Buying tools but not training the human.

Immediately. We start with a discovery call, followed by a proposal. We can schedule governance drafts or training within weeks.

Having iterated on LLMs since the early 2021 private releases, we understand the DNA of these models. This legacy allows us to predict which model will win a specific technical SWOT analysis.

Yes. It proves this is not a hype tool we learned last month. It is a strategic legacy that gives them confidence in the roadmap we are building.

It is more valuable than ever. We use AI to handle the noise so humans can focus on high-touch connections like eye contact, the handshake, and leadership.

Because in glass, precision is the difference between art and disaster. In AI, the same precision is the difference between a competitive edge and a hallucination.

It depends on how you use it. We teach the Social Media Rule: if you would not put it on Facebook, do not put it in a public model.

No. That creates shadow AI, where employees use it secretly on phones, creating a leak. You need a policy guiding safe use.

Yes. I facilitate a process to create a governance document, the rules of the road, that your legal and HR teams can ratify.

Enterprise versions like ChatGPT Enterprise and Copilot generally do not train models on your data. Free versions do. We help configure settings to turn off training.

You mitigate it with Human in the Loop verification, asking for bibliographies and citations, and using multiple models to cross-verify facts.

We train on redaction techniques, stripping out names, SSNs, and addresses before uploading data for analysis.

For highly sensitive IP, yes, such as Azure. For general efficiency, a secure enterprise license of a public model is often sufficient.

This requires specific architecture. I partner with source expert firms to help architect GDPR compliant solutions for international footprints.

By deploying private instances of LLMs within your firewall, ensuring proprietary bid strategies and project data never train public models.

By using a custom Brand-Standard filter that every AI output must pass through to ensure it sounds like an insider and not a generic robot.

It is the rules of the road. Before your team prompts a single machine, you must define what data is public, what is private, and who is responsible for the output.

Use LLMs to capture their decades of Seller-Doer expertise into an interactive digital asset before they walk out the door.

If you have international partners, your AI usage must be transparent and auditable. We build these logs into your custom architecture phase.

The ability to prove that your data is AI-verified and human-led, providing a certificate of authenticity for your project proposals.

By conducting fairness audits on the Four Horsemen to ensure models are not ignoring qualified talent based on flawed training data.

Sharing the intelligence of a model across multiple firms without ever sharing the actual sensitive project data.

We help companies leverage AI to increase efficiency and happiness. We do not sell software. We teach your people how to use the tools they have to solve actual business problems.

No. I am tool-agnostic. I help you figure out what to do with what you have or recommend the best fit for your specific use cases.

Most come from IT. I come from decades leading commercial real estate based teams. I translate complex tech into language non-tech employees understand.

Leadership teams who have invested in AI tools and want measurable adoption, clear governance, and real operational results.

I work on a project-based, fixed-fee model with defined deliverables. I do not typically do hourly billing unless it is a specific add-on.

Yes. I partner with technical source expert firms to build custom agents, chatbots, and technical workflows.

Absolutely. You have bought licenses, but no one is using them. I solve that gap by connecting tech to daily job functions.

Yes. St. Louis is home base, and I have trained teams internationally and I am expanding regionally and nationally.

I can help write job descriptions and align needs using AI, but I am not a recruiter. I help define what the role should look like.

Yes. Contracts include two weeks of post-training support. We can also scope quarterly check-ins.

Stop treating AI as a software purchase and start treating it as a workforce enablement project. The ROI is in the performance of the people using the tools.

There is no single best. I use a multi-model approach: ChatGPT for reasoning, Claude for writing, Gemini for data, and Copilot for security.

Secure and convenient for Microsoft 365, but can feel clunky compared to Claude or ChatGPT for creation. It requires specific training.

It grants access to data analysis, image generation, custom GPTs, and better reasoning models. It is worth the cost of two coffees.

A virtual employee. You give it a goal, and it autonomously performs tasks using tools, search, and editing to achieve it.

Typically 90 minutes. It is 20 to 30 percent theory and 70 to 80 percent hands-on. Everyone brings laptops so they are working, not just listening.

Yes. You get the slide deck, a recording, a full transcript, and a prompt library or cheat sheet.

I address fear head-on. I explain AI is here to handle drudgery so people can focus on human work. I also do smaller sessions for those needing extra support.