GPTs Reborn with ChatGPT-5: Why They Matter Again and How to Harness Their Power
- Martin Swartz
- Sep 25
- 6 min read
Updated: 6 days ago
"In 2023, educators, professionals, entrepreneurs, and digital creators received a discouraging message: GPTs (customized AI assistants built in ChatGPT) had reached their limits. Their usefulness declined as they could not evolve beyond outdated models, lacked access to specialized tools, and failed to stay relevant for dynamic educational and business contexts. But in 2025, with the arrival of ChatGPT-5, the landscape has shifted dramatically.
GPTs Reborn with Chat GPT 5
The GPT-5 Revolution
With ChatGPT-5, OpenAI solved these issues and unlocked new opportunities:
Model Flexibility: When you create a GPT, you now choose whether it uses GPT-5, GPT-4o (optimized for reasoning + multimodality), or another specific OpenAI model.
Project Integration: GPTs can now work in synergy with ChatGPT Projects—which means your GPT doesn’t only know its own rules, but also the full context of your current project.
Instruction Hierarchies: GPTs now respect a layered system: project instructions, GPT instructions, and user prompts are coordinated, not competing.
Document Memory: You can upload entire sets of documents to your GPT, making it a real expert system.
In other words: GPTs are no longer static; they are now adaptive AI companions that learn, retrieve, and respond in ways directly relevant to your goals.
Why GPTs Matter Again for Education and Business
Let’s make this concrete with examples.
Example 1 – For Educators
A professor teaching digital marketing creates a GPT trained on:
University 365’s pedagogy (UNOP + UP Method)
The latest 2025 marketing reports
Student-level explanations tailored to beginners
Students can then “chat” with this GPT as if it were a teaching assistant, asking questions like:
“Explain TikTok’s 2025 algorithm update in simple terms and give me 3 classroom exercises.”
The GPT not only explains clearly but also generates activities aligned with the professor’s methodology.
Example 2 – For Entrepreneurs
An entrepreneur launching a sustainable fashion startup creates a GPT connected to:
The company’s pitch deck
A financial projection spreadsheet
Customer research documents
Now, when preparing for an investor meeting, the entrepreneur can ask:
“Summarize my pitch in 5 bullet points for an investor who values ESG metrics.”
The GPT produces a polished answer adapted to the project’s reality, not just generic advice.
Example 3 – For Students and Lifelong Learners
A U365 student builds a GPT to serve as a personal AI tutor. It is customized with:
Their learning goals (e.g., becoming an AI-savvy business manager)
Their ULM “Life Management” file with personal time constraints
Their LIPS “Digital Second Brain” notes on past lectures
The GPT answers like a coach:
“Given that you only have 2 hours today, how should you review yesterday’s AI strategy lecture and prepare for tomorrow’s finance test?”
It proposes a time-blocked microlearning plan aligned with U365’s neuroscience-based pedagogy.
How GPTs Work with Projects in ChatGPT-5
One of the biggest breakthroughs is the ability to combine:
Project-level instructions and documents (specific to a current case or mission).
GPT-level instructions (the personality, role, or methodology of the GPT).
ChatGPT-5 now uses a coordination hierarchy:
Project Instructions > GPT Instructions: When there’s a conflict, the Project context has priority, ensuring relevance.
GPT Instructions > User Prompt: The GPT role frames how responses are generated, but adapts to the user’s task.
User Prompt: Your live input gives the direction.
This balance avoids confusion and guarantees precision.
Real-World Scenarios Across Fields
Education: A high school builds a GPT that acts as a science tutor, but every project (e.g., “Physics of Energy”) adds the latest syllabus.
Marketing: Agencies deploy GPTs specialized in brand voice, but each campaign project loads the client’s briefs and assets.
Healthcare: Doctors could build GPTs trained on approved medical guidelines and then add patient-specific project files (though respecting strict privacy laws).
Engineering: A project GPT can read technical standards, CAD documentation, and act as a “digital engineer assistant.”
Advantages and Limits
Advantages
Precision: Answers tailored to your documents and goals.
Time Savings: No need to re-explain context at every prompt.
Scalability: One GPT can serve many users (students, team members).
Future-Proof: Always updated with the latest OpenAI models.
Limits
Context Window: If too many documents are loaded, some may be ignored. Careful context engineering (UP Method) is essential.
Human Oversight: GPTs are assistants, not authorities—always validate outputs.
Data Sensitivity: Using confidential data requires proper governance and security.
The Role of U365’s UP Method
At University 365, we emphasize Context Engineering with the UP Method. This ensures that every GPT works in harmony with:
Context files (facts, brand identity, academic materials)
Role files (the role the AI should adopt: teacher, coach, strategist)
User Personas (the person asking: student, entrepreneur, faculty)
Audience Personas (the target of the output: class, board, client)
This modular approach guarantees clarity, precision, and pedagogical alignment.
Example:
A U365 Business student uploads a Role file “Business Analyst,” a Context file “Case Study – Tesla 2025,” and an Audience Persona “MBA professor.” Then creates a GPT that generates a structured case analysis aligned with academic rigor.
Looking Ahead
GPTs in ChatGPT-5 are no longer experimental toys. They are now strategic assets for learning, business, and personal growth.
For students: they become personal coaches.
For educators: they become scalable teaching assistants.
For businesses: they become specialized AI employees trained on internal knowledge.
At University 365, we view this as a rebirth of GPTs, fully aligned with our mission:
“AI won’t replace humans, but humans using AI will.” (Fei-Fei Li)
Conclusion
With ChatGPT-5, GPTs are back, and this time, they are built to last. They are not generic, static bots anymore; they are adaptive AI partners that can be customized, updated, and integrated with real-world projects.
Whether you are a student, professor, entrepreneur, professional, or lifelong learner, the key is to design GPTs with precision: combine them with project contexts, role files, and the UP Method to ensure clarity and scalability.
This is not just about “using AI.” It is about building your own AI teammates, ones that think with you, learn with you, and help you become superhuman.
To deepen your mastery, we encourage you to explore the U365 UP Method and our lectures on Context Engineering, which will teach you how to maximize GPT-5’s full potential.
Suggested Next Reading:
[How to Coordinate GPTs and Projects in ChatGPT-5]
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