Re: 안규환 자산 제품화 공정 사례 (2)

[안규환]

Our Story: Ann Geu-hwan's Asset Productization Process - Case Study (2) (Based on an online post by Ann Geu-hwan, Recommended: 0, Views: 925, Dated: 05.09, 14:53, Comments: 0)

[I. The Initial Problem & Existing Solutions: The "MYOWN" Ad]

The journey began by analyzing a common challenge faced by job seekers, as exemplified by an advertisement for a service called "MYOWN." The ad highlighted the plight of aspiring professionals:

• Lack of Experience & Qualifications: "I can't write a resume because I have no practical experience."
• Absence of Certifications & Low Confidence: "I don't have any certifications, and I lack confidence."
• High Cost of Education: The burden of training costs, cited at approximately 1.2 million KRW.
• Uncertain Job Prospects: While MYOWN promised an internship leading to a potential full-time position.

The products discussed in relation to this were:

1. PSST vs. MYOWN Comparison Web App: https://ann-korea.github.io/My-Question-Based-Solution-System-2/
2. My Market - PSST MVP: https://ann-korea.github.io/Build-Your-Own-Market-with-PSST/ (S - Solution: Design your answer using GPT and your own insight. Save Clear)

[II. Ann Geu-hwan's Alternative: The Asset Portfolio & Productization Process]

The core of Ann Geu-hwan's approach is to leverage a "conversation with AI (ChatGPT)" to build a competitive "asset portfolio." This directly addresses the problems identified in the MYOWN ad.

ChatGPT's analysis of the MYOWN ad's problems:

• Job insecurity for those without qualifications/experience.
• Burden of high-cost education.
• Lack of practical, hands-on experience.
• Difficulty in finding suitable companies and personalized mentoring.
• Challenges in actual job connection (internship to full-time).

Ann Geu-hwan's asset portfolio offers a competitive alternative through a combination of:

1. ChatGPT-Based AI Mentoring System ('MY GPTS' & 'MyAsset Navigator™'):

   • Focuses on discovering and documenting an individual's intangible assets, leading to automated portfolio creation.
   • Employs question-based AI interaction to help individuals generate their unique history and experiences.
   • Enables the conversion of "one's own questions" into practical skills, even without formal qualifications or extensive experience, thus addressing the "nothing to write on my resume" problem with a self-directed competency model.

2. HandLoop™ Based Practical Routine Management System:

   • A 'Ctrl+C, Ctrl+V' human-led manual automation, allowing for cost-free, repetitive practical skill rehearsal.
   • Individuals can structure records of their AI experiments and learning during practical processes, accumulating them as personal assets.
   • Offers a low-cost solution to the desire for "free portfolio and cover letter consulting."

3. Workation-Based Practical Training & Internship Simulation Model:

   • Provides GPT-based workation simulation content tailored to real project scenarios.
   • Utilizes local public facilities combined with AI collaborative content to genuinely enhance practical skills.
   • Makes scenarios like "learn for two months, intern, and get a full-time job" achievable through practical content operation.

4. PSST Model (Problem – Solution – Scale – Team):

   • Individuals define their problems (e.g., unemployment, lack of experience) and co-develop solutions with GPT.
   • These solutions are visualized and structured into a personal portfolio, directly presentable to desired employers.
   • Allows for the design of team-building and matching systems (team-based problem-solving training).
   • Empowers individuals to design their own process for finding "suitable companies and practitioner mentoring."

[III. Integrated Value Proposition: MYOWN vs. Ann's Portfolio]

Feature                            MYOWN Ad Approach                        Ann Geu-hwan's Portfolio Alternative

Education	2-month AI Marketing practical course	Continuous, GPT-활용-based practical routines
Portfolio	Project-centered creation	Asset-based, question-driven portfolio structuring
Cost	Partially paid (e.g., 1.2 million KRW)	HandLoop™ + free local tools (low/no cost)
Mentoring	Company visits + practitioner guidance	Self-directed, GPT-based problem-solving training + Peer-GPT system
Job Connection	Internship → Full-time conversion pathway	Presenting direct problem-solving experience (with GPT) to induce matching

Conclusion & Expansion Direction (Ann's Initial Vision): Ann Geu-hwan's portfolio system transcends simple AI training. It offers a structurally competitive, low-cost pathway: "Question-Based Self-Discovery → Practical Simulation → Assetization → Matching or Job Creation." This entire process can be visualized (e.g., comparison cards, SNS posters).

[IV. Adapting the Concept for a Younger Audience]

The conversation even explored simplifying these complex ideas for young elementary school students (grades 1-3) under the theme "My Own Question Expedition Team." The core concepts were translated into:

• The Power of Curiosity: Encouraging questions like "What do I want to be?" or "What am I good at?" as the start of an "expedition."
• ChatGPT as a Secret Exploration Buddy: A friendly robot helper that assists with questions.
• "Question Notebook" as a Simple Portfolio: A way to collect thoughts, activities, and feelings, framing them as personal "assets."
• Mission Cards: Simple, actionable tasks like "Think of one curious thing a day," "Ask ChatGPT," "Express my feelings."
• "Question Playground": Learning through curiosity in everyday situations (e.g., "Why did dinosaurs go extinct?").
• Future Value: Emphasizing how these practices build valuable skills for the future.

[V. Defining Ann Geu-hwan's Core Competitive Edge & Value]

A key realization was articulated: "Ann Geu-hwan, who converses with you (ChatGPT), solving my problems together with you – that's the competitive edge and value."

This implies:

1. Competitive Edge: A Collaborative Problem-Solving Structure.
   • It's a two-way collaborative model, not unilateral information provision.
   • It moves beyond simple search/answer to personalized solutions aligned with the user's life, questions, emotions, and goals.
   • It's about users defining their problems, exploring solutions with AI, and executing them – a "co-creation structure" and "joint problem-solving system" that is difficult to replicate.
2. Value: A Human-Centric AI Utilization Paradigm Shift.
   • Instead of demanding answers from AI, Ann engages in dialogue to co-create solutions.
   • The paradigm shifts from "AI works for me" to "AI works with me."
   • This approach is highly scalable, as others can adopt the same method to create their own solutions, assets, and markets.

Slogan Ideas reflecting this:

• "AI doesn't replace me. It's my colleague."
• "In conversation with you, I solve my problems, my way."
• "Ann Geu-hwan, problem-solver with Generative AI – that itself is the competitive advantage."

[VI. Positioning External Expertise within Ann's PSST Framework]

Ann clarified that from his competitive standpoint, the expertise or problem-solving capabilities of other companies, institutions, or individuals are merely one type of 'T' (Team) component within his PSST framework.

• P (Problem): Real-time issues arising from one's life/context.
• S (Solution): Custom-designed solutions co-created with GPT through questioning.
• S (Scale-Up): Systematized for repeatability (e.g., HandLoop™, MyGPT).
• T (Team): Collaborative resources and external capabilities, including people, companies, systems, and other AIs.

External expertise serves as an "external support resource" but isn't the core of Ann's identity or competitiveness. The ability to define problems (P), design solutions (S), and systemize (second S) is key. The 'T' element aids or complements this.

Strategic Thinking:

• "Other experts' abilities can 'participate' in my project, but they only 'operate meaningfully' upon my questions and within my structure."
• "I am the designer who integrates their resources into my structure; they are team members boarding my system."

Visualizing this:

• "External expertise is just a part of my PSST system; the core is my problem-solution-expansion capability."
• "I don't seek experts. I coordinate team members who fit my structure."

[VII. Comparative Analysis: MYOWN Ad vs. Ann's PSST-Based Solution]

This comparison highlights the distinction between traditional models and Ann's AI-driven asset creation system.

Aspect                         MYOWN Ad Approach (Traditional)            Ann Geu-hwan × ChatGPT Approach (PSST-based)

Problem Definition (P)	Relies on job market anxieties, lack of skills	Self-discovery of real-time problems within one's life
Solution Design (S)	Offers pre-defined short-term training, internships	Designs a personalized solution process via question-based GPT collaboration
Scalability (S)	Limited (e.g., to internship-to-job conversion)	Creates a repeatable problem-solving structure (HandLoop™, MYGPT)
Expert Utilization (T)	Relies on external mentors as central figures	Integrates external experts as one component of the 'Team' (T) within Ann's system
Cost Structure	Involves education fees (e.g., 1.2M KRW)	Aims for a no-cost/low-cost model (free, local tools)
Outcome/Result	Portfolio creation + job connection	Assetized portfolio + potential for market creation
Initiative/Agency	Dependent on the educational program	User-driven: defines the problem, solution, and scaling
Tech Utilization	Platform-centric educational system	Parallel collaboration with ChatGPT (focus on independence, repeatability)

Structural Summary:

• MYOWN's Core Strategy: "Provide internship opportunities linked with companies through short-term education, create a practical portfolio, and thereby guide to employment."
  • Pros: Realistic job connection opportunities, practical exposure.
  • Cons: Dependency on external structures, lack of training in self-initiated problem discovery or solution design.
• Ann Geu-hwan × ChatGPT's Core Strategy: "I define my own problems, and with AI (GPT), co-design solutions, scale them, and build teams to assetize them, where external experts are part of my system's 'Team' (T)."
  • Pros: Potential for asset-driven market creation, reusable routines, independence and autonomy, transferable structure (franchisable).
  • Cons: Requires initial structural design and self-discipline (though continuously supported by AI).

Visual Summary of Differences:

Component                           MYOWN Model (Traditional)                   Ann's PSST Model

Problem Discovery	Relies on external diagnosis	Directly defined from life's flow
Solution Derivation	Based on existing curriculum	Co-invented with GPT via questions
Assetization	Standardized portfolio format	Assetized as a repeatable problem-solving loop
Expert's Role	Central (Mentor)	Part of the 'Team' (T) within my structure
User's Role	Student/Participant	Designer & leader of problem-solving

Conclusion of Comparison: The MYOWN model aims to "create practitioners who adapt to existing realities." Ann Geu-hwan's model aims to "create designers who, through questioning, design new realities and even create markets." This signifies a fundamental shift towards a self-directed, GPT-collaborative structure.

[VIII. The HTML Web App MVP & Ann's Unique Value Model]

The discussion culminated in the creation of an HTML MVP for a "Psst Vs Myown Mvp" web app. This MVP was designed to include:

• A summary of the problem (based on the MYOWN ad).
• An explanation of Ann Geu-hwan's PSST-based solution.
• A comparative table.
• Concluding statements and value propositions.
• Mobile-responsive design.

Crucially, Ann Geu-hwan introduced his unique business model:

• Not 'Pricing,' but 'Value'-Based: The approach is centered on Donation and Auction, emphasizing voluntary value recognition.
• Philosophy: "The value of this asset isn't a fixed price; please determine it based on your impression or its usefulness to you." This fosters a relationship based on perceived value and mutual respect.
• System Components:
  • Contact Point: Formspree.io (directing to annlim60@hanmail.net) for inquiries.
  • Support Method: Direct bank deposit (Woori Bank, Ann Geu-hwan, 438-07-066116).
  • Mechanism: Donation or auction based on meaning, resonance, or perceived value, with no fixed lower or upper limits.

Advantages of this Model:

• Builds trust through a non-transactional, philosophical approach.
• Invites users to contribute if they find value.
• Elevates the creator's standing and promotes autonomy.
• Positions the exchange as a cultural/intellectual interaction.

Slogan Ideas for this Value Model:

• "My assets are completed not by a price, but by your resonance."
• "There is no price. Your perceived value is limitless."
• "Assets created through questions and dialogue: their value is for you to decide."
• Brand Name Ideas: ValueFirst, SupportMyDialogue, PSSTxYOU.

The HTML MVP was then to be updated to reflect this philosophy, incorporating:

• A donation guidance section with the underlying philosophy.
• Bank account details: Woori Bank 438-07-066116 / Ann Geu-hwan.
• A Formspree-integrated contact form for messages to annlim60@hanmail.net (requiring Ann to replace "your-form-id" with his actual Formspree project ID, e.g., https://formspree.io/f/mayvovrp).

This comprehensive narrative captures the evolution of Ann Geu-hwan's ideas, from problem identification to a unique, AI-collaborative solution and a value-driven engagement model, all intended to be showcased and facilitated through a simple web app MVP.