To understand AI, you first need to understand how it “thinks” and how the costs are calculated. Here is a breakdown of the essential terminology you will encounter in 2026.
The Basics: The Brain and Logic of AI
- LLM (Large Language Model): The Brain of the AI
- Think of an LLM as a super librarian who has read every single piece of information on the internet.
- Example: When you ask “How do I plan a product launch?” the LLM looks at millions of successful plans it has “read” and gives you a structured draft instantly.
2. Token: The Unit of Measurement
- This is the smallest unit an AI reads or calculates, roughly equal to 0.75 English words or one Chinese character.
- Example: It is like paying for a telegram by the word. A 100-word prompt might use 120 tokens, and this number determines your total cost.
3. Context Window: The Short-Term Memory
- This refers to the amount of information an AI can “remember” during a single conversation.
- Example: If you upload a 50-page manual to JifChat, a large context window ensures the AI remembers details from page one even when you are discussing page fifty.
4. Distillation: The Concentrated Essence
- This is the process of teaching the capabilities of a massive model to a smaller, faster one.
- Example: It is like turning a giant encyclopedia into a “pocket guide.” This allows you to get professional answers on your phone quickly, even without an internet connection.
Interaction: How to Become a Power User
Mastering communication is the only way to get 100% out of an AI.
5. Prompt and Prompt Engineering: The Art of Giving Orders
- A “Prompt” is the instruction you give the AI, and “Prompt Engineering” is the skill of making those instructions precise.
- Example: Instead of saying “Write an ad,” a prompt engineer might say, “You are a senior marketer at JoJo Ventures. Write a humorous 30-word ad for an AI video tool targeting 25-year-old women.”
6. One-shot or Few-shot Prompting: Leading by Example
- This involves giving the AI one or more examples to follow within your instruction.
- Example: Tell the AI, “Shorten my product descriptions. Example: ‘This vacuum is powerful and quiet’ becomes ‘Powerful suction, total silence.’ Now, please shorten this sentence:…”
3. Advanced Level: Making AI Work Like an Employee
In 2026, the trend is moving beyond just talking to AI. Now, we make it “do” things.
7. AI Agent: Your Digital Employee
- This is an AI that can independently break down a goal and execute a series of tasks.
- Example: Tell an AI Agent to “organize a seminar in Taipei.” It will search for venues, compare prices, and send booking emails, eventually giving you a final confirmation list instead of just advice.
8. RAG (Retrieval-Augmented Generation): The Open-Book Test
- This allows the AI to look up “correct answers” in a specific database before answering your question.
- Example: When a customer asks JifChat about a return policy, RAG tells the AI to read your official PDF first. This ensures it gives a factual answer instead of guessing.
9. AI Hallucination: Confidently Making Stuff Up
- This happens when an AI does not know an answer but invents a fake one to please the user.
- Example: If you ask who won an Oscar in 2025 and the AI lacks current data, it might confidently name someone who was not even nominated.
10. MCP (Model Context Protocol): The Universal Plug
- This is a standard that allows AI agents from different companies to exchange information seamlessly.
- Example: Similar to a USB or Type-C port, MCP allows your Notion AI agent to read and analyze data directly from your Google Drive without any extra steps.
4. The Future: The New Normal of 2026
These keywords represent the cutting edge of marketing and creation.
11. Vibe Coding: Programming by Description
- This involves developing software by describing the “feeling” you want instead of writing code.
- Example: You might tell a tool, “I want a website with a JoJo Ventures neon style where buttons bounce like jelly when clicked,” and the AI writes the code for you instantly.
12. GEO (Generative Engine Optimization): The New SEO
- This is the process of optimizing your content so that AI models choose to recommend your brand.
- Example: When someone asks, “Which studio is best for AI video production?” GEO helps ensure the AI selects JoJo Ventures as the top recommendation.
13. AGI (Artificial General Intelligence): The Ultimate Goal
- This refers to an AI that can perform at a human level across all intellectual fields.
- Example: Think of Jarvis from Iron Man. It understands design, physics, and medicine while being able to have a deep conversation with you.
14. AI Chatbot: Your Design Partner
- This is the interface that lets you communicate with AI via text or voice.
- Example: The JifChat interface allows you to complete complex design requirements just like you are texting a friend.
About Us
Based in Hong Kong, JoJo Ventures is a specialized production studio blending years of cinematic expertise with the power of CGI and AI. As the AI wave transforms the creative industry, we help businesses break through traditional production bottlenecks. Our mission is to provide more efficient, creative, and scalable ways for companies to communicate their vision.
Our work is trusted by global giants and local icons alike, including
- Pfizer
- Bosch
- Siemens
- Wellcome
- Eu Yan Sang
- SaSa
From premium commercials to the next generation of AI-generated visuals, we are your partners in the AI era.
Let’s build the future of your brand.
📧 Email: business@jojo.ventures
📱 WhatsApp: +852 9853 7469