01
Understanding AI businesses
Understand the product and the value it creates.
AI / Business Understanding & Workplace Applications
Understand AI's business value.
Find practical uses at work.
Want to understand what AI companies actually do and how they create value? Or already use AI for chats and drafts, but struggle to apply it at work? Start with your tasks, organize context, assign tools to steps and connect research, analysis and output with human review.
AmazingTalker subject: Computer Applications. Current lessons focus on AI and LLM tools, personal workflows and AI agent applications.
Start with your question
Choose the task first.
Then choose the tools.
02
Context pack
Give each task a consistent starting point.
03
Workflow design
Connect research, synthesis and delivery.
04
Human review
An output still needs evidence.
These illustrations depict teaching scenarios, not actual student cases.
Choose your practice focus
Start with how you use AI now.
Choose your next step.
Personal workflows
For people who have used ChatGPT or Gemini: organize a context pack, understand the difference between conversational tools and agents, and compare tools by task.
Workflows for small businesses
For business owners and team leaders: design a repeatable process around client research, meeting actions, presentations or sales materials.
Advanced AI agent practice
Connect research, organization and output into multi-step tasks. Examine information handoffs and where human judgment is needed. Tools and arrangements are agreed individually.
AI business understanding and workplace applications
Following the news,
but wondering how the business works?
For professionals, managers and business owners who need to understand technology. Start with one company, product or work question and explain its purpose, users, buyers and adoption requirements in accessible terms.
What does the software company actually provide?
Compare product information with public sources. Identify who it helps, which task it supports and where AI changes the workflow. Separate product claims, known facts and questions that need checking.
How do you assess business value?
Start with how the task is done today, then examine time, quality, cost, human review and limitations. Turn an efficiency claim into a testable assumption.
How can you try it on a small scale?
Choose an information, meeting-preparation or research task. Define the inputs and acceptance criteria, record errors and corrections, then decide whether to expand.
- What problem does it solve?Who uses it and who pays?
- How does it change work?Data, processes and human roles
- What supports the value claim?Quality, cost and assumptions to test
How lessons work
Get an answer.
Know how to check it.
- 01
Choose one task
For example, organizing information, preparing a meeting or comparing options. Define the deliverable.
- 02
Confirm the boundaries
Identify what information the tool needs, what you may use and what should be anonymized.
- 03
Try and revise
Compare instructions and input formats, observe the differences and adjust the requirements.
- 04
Verify and document
Check key content and keep a record of the review method and reusable steps.
Fictional teaching examples
Start with a question. See how we work through it.
Workflows
Your starting point
Turn these meeting notes into action items.
Michael asks
Which fields do you need? What was decided, and what was only suggested? What if the source gives no deadline?
A clearer next step
Extract confirmed actions with owners, deadlines, and source statements. Mark missing information as unconfirmed and review it before use.
Practice afterward
Try another suitable sample. Check for invented dates, missing actions, or suggestions incorrectly treated as decisions.
Business understanding
Your starting point
This AI tool claims to improve efficiency. Is it worth using?
Michael asks
Which step changes? How is it done now? Does it still save time after human review and corrections?
A clearer next step
Compare the current approach and tool output on the same task. Record time, quality, cost, and errors before judging suitability.
Practice afterward
Ask AI to organize product claims and sources, then verify them yourself. Keep untested benefits marked as assumptions.
Explore the detailed workflow
A workflow in practice
At every step, know who acts
and what “done” means.
Separate a single prompt into inputs, processing and review so the workflow is easier to repeat and improve.
Prepare the inputsGoals, context pack and available sources
AI organizesFind information, preserve sources and draft
Human reviewCheck facts, gaps and fitness for use
Passes reviewProduce the meeting brief and questions to confirm.
Needs revisionAdd information or revise the requirements, then repeat the processing and review.
↶ Revise the inputs and try again. Do not deliver unverified material.
AI: organization and draftingPeople: requirements, judgment and approval
This is a workflow design example, not a claim that this website runs automation or that the process can operate without supervision.
Explore the course
Review the example.
Decide whether it fits your work.
Bring a recurring task and examine whether this approach fits. Where does the information come from? How should the output be checked? Which steps are worth retaining?
The meeting-note example above is fictional. Whether a process saves time or can be reused must be tested with your tasks, information and review criteria.
View current AI course details ↗Check the fit
Is this the support you need?
You can start here
- You already use conversational AI and want a reusable context pack and workflow.
- You are a business owner or professional improving client research, meeting notes or material preparation.
- You want to explore multi-step agent tasks and build verification and delivery checks into the process.
Scope of the service
- Lessons focus on workflow design, demonstrations and practice. Formal system development, deployment and ongoing maintenance require a separate agreement.
- Tools make mistakes. Important outputs still require human judgment.
- Industry discussions are not personalized investment advice.
About Michael
Put AI use
in the context of real work.
I'm Michael Ho, known as Michael H. on AmazingTalker. In AI lessons, we start with the work you want to complete, then discuss the information needed, where tools can help and who should check the result.
From organizing information and summarizing meetings to multi-step tasks, we clarify inputs, define requirements, check outputs and adjust. Alongside tool use, we practice distinguishing supported information from claims that still need verification.
You know your work standards. Together, we define an acceptable result and make room for human review and correction, so practice can develop into a repeatable way of working.
Education & Professional Development
- Harvard Business School
- Tsinghua University School of Economics and Management
- INSEAD
- Bentley University
Practical Experience
- More than 15 years of business experience across industries.
- Five years of consulting experience with businesses and senior managers.
- Ten years of study and work experience in the United States.
- Custom AI solutions for small and medium-sized businesses through P1 Concept.
Sessions available in English, Mandarin, and Cantonese.
50-minute individual lesson
Choose one task you do every week.
Bring one specific question and start where support is most useful now.
US$55.00Discuss your lesson with Michael →
Final payment is determined at AT checkout.
Personalized learning and practice
Find your focus in the lesson. Keep using it afterward.
- 01
Focus together
Choose a work task and define the inputs and standards for a useful result.
- 02
Take it with you
Where appropriate, organize reusable prompts, input formats, and a human review checklist.
- 03
Practice afterward
Try another suitable input, record errors and corrections, and check whether the workflow still works.
Materials and practice are tailored to the lesson. Confirm the specific deliverables and feedback scope before booking; unlimited follow-up review is not included.
Your first lesson
Bring a question.
You do not need a finished answer.
Bring a work task you want to improve and a public or anonymized example. We discuss your current process and desired result, then try and review one small part. Use fictional material if you are unsure whether you may share the original.
AmazingTalker offers a 25-minute trial. Bring a work situation and focus on a short workflow demonstration. Tools and follow-up arrangements for complete automation are agreed separately.
Is this suitable if I want to understand the AI industry rather than learn programming?
Yes. Bring a product, company or application question. We examine who it serves, what it solves, how it charges and which value claims need evidence. Discussion can be in Chinese and focuses on business understanding, not personalized investment advice.
Can I start without a programming background?
Programming experience is not required. Current lessons mainly suit people who have used conversational AI. If you have not, mention this before booking so we can choose a suitable starting point.
Which AI tools will we use?
The AmazingTalker course description includes ChatGPT, Gemini, Perplexity, Copilot and Claude. We choose based on the task, your accounts and current capabilities; you do not need to learn all of them at once.
Do I need a paid subscription?
Not necessarily. We first check whether your current tools are sufficient. If a paid feature is needed, it will be explained before use and you decide whether to proceed.
Can I use real company information?
Only if you are authorized and it complies with company policies. Public, fictional or anonymized examples are usually a suitable starting point.