Hands-on AI training for Dallas teams, in English or Chinese
Each person brings one task they already do every week and leaves with a working workflow for it, plus the habit of checking the output before it goes out. Taught in person, at your office.
- 5 community talks, 50+ people each
- 5.0 across 10 Google reviews
- Taught in person across Dallas–Fort Worth
AI Man Jack is Jack Qian’s Dallas, Texas practice: hands-on AI training for teams, and a done-for-you AI receptionist for appointment businesses.
Task first, tool second
Non-technical teams usually arrive with one of two problems: overwhelmed by the number of AI products, or they tried a chatbot, got an impressive answer, and still don’t know how it fits their job. A product tour makes both worse. So the session starts with a task the person already does, and works through it in five parts.
- Choose a suitable task. Each person lists three things they repeat every week and scores them: does it happen often enough to matter, can the input and output be described clearly, can a knowledgeable person check the result quickly, can it be tested without exposing sensitive information?The best first use case is narrow. “Prepare a five-point meeting brief from these approved notes” is teachable. “Run my department” is not.
- Give the AI useful context. A prompt is a work instruction, not a secret formula. A reliable one has a goal, an approved source, constraints, a usable format, and what to flag for a person to verify. Everyone rewrites one weak instruction, runs it, and compares the result.
- Move from chat to workflow. A chat produces an answer. A workflow moves information through steps: collect the approved notes, extract decisions, identify owners, draft follow-ups, put the result in a review queue.This is where a team learns the difference between a chatbot and an agent — whether the task needs a response, or permission to take an action.
- Verify the output. Verification is part of the exercise, not a warning on the last slide. Can every claim be traced to the source? Did it follow the format? What context is missing? Could it harm a customer or a decision if wrong? Who approves it before use? At least one output in the session is deliberately flawed; finding it teaches more than another perfect demo.
- Apply data and approval guardrails. Three questions every participant leaves with a clear answer to: which tools are approved, which information is off-limits, and where a human must sign off before anything is used.
Two weeks later we ask whether the workflow was tested, whether the result was accurate enough to use, and whether the task should continue, change, or stop. A small documented workflow that survives real use is the outcome — not a room full of people who enjoyed the demonstration.
Three ways to run it
All three follow the same five parts. What changes is how much of it each person does with their own hands.
- A live build on a task taken from your team, not a canned demo
- The five-part instruction template everyone can reuse the same afternoon
- A one-page verification checklist to take back to their desk
Good for a first look across a whole department.
- Each person leaves with a working workflow for a task they already do
- A deliberately flawed output to catch, so verification becomes a habit
- A pilot plan with an owner, a tool, and a first test date
This is the format the Google reviews below are about.
- Weekly sessions built on the team’s own tasks, one workflow at a time
- Review of what actually ran between sessions, and what broke
- A written playbook the team keeps after I leave
Scoped after the half-day, once we know which tasks are worth it.
Priced per engagement, by format and team size. Tell me how many people and what they do; you’ll have a recommended format and a quote after a 20-minute call.
What attendees say
5.0 across 10 Google reviews. All ten are from people who came to one of the community AI workshops in Dallas.
“I had such a great experience at this AI workshop. It was practical, inspiring, and genuinely fun. Jack, the host, did an amazing job of breaking down complex AI concepts in a way that was easy to understand…”
emily xuGoogle review · Dallas AI workshop“I really enjoyed Jack’s AI seminar! He has a very forward-thinking perspective on AI and does a great job of explaining everything from understanding AI to actually using it in real life…”
U RachelGoogle review · Dallas AI workshop“This AI course was very informative and easy to follow. It covered the fundamentals of AI and its basic applications, making it especially suitable for beginners with little or no prior experience.”
Yuqi GuanGoogle review · Dallas AI workshopFive talks, one hackathon, and a lot of rewriting
The community series in Dallas is where this curriculum was built. Every part of it was tried on a room of volunteers before a company ever paid for it.
Tried on a real room first
The task-scoring exercise, the deliberately flawed output, the two-week check-in — each one earned its place by working in front of fifty people, or got cut. The five parts above are the ones that survived.
Rather have it built than taught?
The training, answered plainly
Who is the AI training for?
Teams of roughly 5 to 60 people in Dallas–Fort Worth where most people are not technical: operations, sales, admin, front office, planning, customer service. No coding. Everyone works on a task they already do.
What do people actually build during the training?
One working workflow for a task they already do every week — a meeting brief from approved notes, a first-draft customer reply, a weekly report pulled from a spreadsheet, a research summary on an account. It runs by the end of the session, and each person leaves with a checklist for verifying the output before it goes out.
Is the training in English or Chinese?
Either. The community series in Dallas in 2026 ran in Chinese; company sessions run in whichever language the room works in, and the materials come in both.
Which AI tools does the training use?
Whatever your company has already approved — ChatGPT, Claude, Gemini, Copilot. The method is the same across tools. The first thing covered is which data may go into a tool and which may not.
How much does AI training for a team cost?
It’s priced per engagement, by format and team size. Text TRAINING with your company name to (469) 425-4142, or email [email protected]. After a 20-minute call you’ll have a recommended format and a quote.
How do you know whether the training worked?
Two weeks after the session, we check whether the workflow was tested on real work, whether the result was accurate enough to use, where review took too long, and whether the task should continue, change, or stop. Attendance and satisfaction scores are not the measure.
Can the training be run at our office?
Yes. Sessions are in person anywhere in the Dallas–Fort Worth metroplex — Dallas, Fort Worth, Plano, Richardson, Frisco, McKinney, Arlington, and everywhere between. Remote on request.
Do you also build things?
Yes: a done-for-you AI receptionist and booking system for appointment businesses, on the AI receptionist page. Training is the same person, the same method — just taught instead of installed.
One method, two ways to get it
Jack Qian
I run community AI workshops and hands-on build events here in Dallas because useful AI education should be accessible, and I teach companies the same way. I also build the AI receptionist on the home page for businesses that would rather have it installed than taught. In both cases the work starts with one real task and an honest answer about whether AI belongs there.
Bring one task. Leave with it running.
Text TRAINING with your company name, or email. We’ll find a 20-minute slot, and you’ll have a format and a quote by the end of it.