Module 12: Frequently Asked Questions (FAQ)

← Previous | 🏠 Home

Overview

This module addresses the most common pain points, confusions, and technical hurdles students and professionals encounter when navigating the rapidly evolving AI landscape. We have compiled over 30 detailed questions and organized them by category for easy reference.

If you are stuck, confused, or worried about how AI applies to you, start here.

---

🟢 1. Getting Started & Basic Concepts

What exactly is Artificial Intelligence (AI)?

Artificial Intelligence is a broad field of computer science focused on creating systems capable of performing tasks that typically require human intelligence. This includes understanding language, recognizing images, solving problems, and making decisions. Most of the “AI” we talk about today (like ChatGPT) is a specific type called “Generative AI,” which uses patterns learned from massive amounts of data to create new, original content.

Which AI tool should I try first?

For absolute beginners, ChatGPT (Free Version) is the undisputed best starting point. Its interface is familiar (like a chat app), it is incredibly versatile, and it provides a great sandbox to learn how prompting works. Once you are comfortable, we recommend trying Claude for writing tasks and Perplexity for web research.

Do I need to know programming or math to use AI?

Absolutely not. The biggest revolution of modern AI is that the “programming language” is now plain English (or Persian). If you can articulate a request clearly in natural language, you can use these tools. However, having a foundational understanding of logic and critical thinking will make you a much better “prompt engineer.”

Is AI going to replace my job?

This is the most common fear. The consensus among experts is: AI is unlikely to replace complex, multi-faceted human jobs entirely in the near future. However, “a person using AI will almost certainly replace a person not using AI.” Think of AI as an incredibly powerful exoskeleton. A marketer using AI can do the work of three traditional marketers. The key is to adapt and integrate AI into your workflow, making yourself indispensable.

Are these tools actually intelligent?

Not in the human sense. They do not “think,” feel, or have consciousness. Large Language Models (LLMs) are essentially highly advanced, multi-dimensional autocorrect systems. They predict the most mathematically probable next word based on the billions of texts they read during training. Their ability to reason is an illusion created by statistical probability.

---

🟠 2. Prompt Engineering & Output Quality

Why doesn’t the AI understand what I actually want?

Usually, this is a symptom of the “Mind Reader Fallacy.” Because AI outputs sound so human, we assume the AI has human context. It doesn’t. If you tell an AI, “Write an email to my boss about the project,” it doesn’t know who your boss is, what the project is, or what tone to use. You must provide explicit context, constraints, and format requirements. Use the CREATE framework from Module 11.

Should I prompt in English or Persian?

This is a critical nuance. While top-tier models (GPT-4o, Claude 3.5) speak Persian surprisingly well, over 90% of their training data is in English.

• For simple writing tasks, Persian is fine.
• For complex logic, coding, advanced reasoning, or highly specific technical domains, you must prompt in English to unlock the model’s full IQ. You can always add the instruction: “Do all your internal reasoning in English, but output the final result translated into fluent Persian.”

How do I get consistent results every time?

LLMs are inherently probabilistic, meaning there is built-in randomness. To increase consistency:

1. Provide a “few-shot” prompt (give it 3 examples of exactly what you want).
2. Use clear constraints (“Do not use adjectives,” “Output strictly in JSON”).
3. Use a System Prompt to lock in behavior.
   If you are using an API, you can lower the “Temperature” setting to 0 to remove randomness.

Why does AI sometimes confidently make things up (hallucinate)?

Because an LLM is a prediction engine, it is designed to give you a plausible-sounding sequence of words, not necessarily the truth. If it hasn’t seen the answer in its training data, it will mathematically guess, resulting in a “hallucination.” Never use ChatGPT as a search engine for facts. If you need verifiable facts, use a tool like Perplexity, which searches the web and cites real sources before answering.

How do I make AI follow a specific format (like a table or code block)?

Be explicit and use delimiters. For example: “Analyze the data below. Output the results strictly as a Markdown table with the columns: Name, Age, Occupation. Do not include any conversational filler text before or after the table.”

---

🔵 3. Tool Selection Confusion

There are thousands of AI tools launching every week. Which ones do I actually need?

Ignore the noise. 95% of the “new AI tools” you see advertised are simply basic wrappers built on top of ChatGPT’s API. You only need a core stack of foundational tools:

1. A general conversationalist/coder: ChatGPT or Claude.
2. A research/search engine: Perplexity.
3. An image generator (if needed): Midjourney or DALL-E 3.
   Master these three before getting distracted by niche tools.

What is the exact difference between ChatGPT, Claude, and Gemini?

• ChatGPT (OpenAI): The best all-around tool. Excels at data analysis (it can run Python natively), coding, and voice interactions.
• Claude (Anthropic): The writer’s choice. It has a much more natural, less “robotic” tone. It is also exceptional at coding (via Cursor) and has a massive context window for reading long documents.
• Gemini (Google): Deeply integrated into the Google ecosystem. Its superpower is its massive context window (up to 2 million tokens), allowing you to upload hour-long videos or entire codebases for analysis.

Which AI tools are completely free?

• ChatGPT (Free tier): Gives you access to the powerful GPT-4o model, but with strict usage limits (it reverts to a dumber model when you run out of messages).
• Claude (Free tier): Access to Sonnet 3.5, also with rate limits.
• Perplexity: Free for basic web search.
• Microsoft Copilot: Uses GPT-4 and DALL-E 3 for free, heavily integrated into Windows/Edge.

Should I pay the $20/month for premium AI tools?

If you use AI for your job or education more than 3 times a week, absolutely yes. The $20/month for ChatGPT Plus or Claude Pro is currently the highest ROI software subscription in the world. It gives you higher message limits, access to the smartest models during peak hours, and advanced features like custom GPTs and document analysis.

---

🟣 4. Access & Account Issues (Iran-Specific)

How do I create accounts for restricted services like OpenAI in Iran?

Historically, OpenAI required a non-Iranian phone number for verification. However, OpenAI has recently relaxed phone verification for basic email signups in many regions. If you still face issues:

1. Use an email address, not a single sign-on (SSO).
2. If a phone number is required, Iranians commonly use reputable virtual number services (like NumberLand or similar providers).
3. Crucial: You must always use a reliable VPN with a clean IP address (avoid free, heavily flagged VPNs) when accessing these sites.

How do I pay for premium services ($20/mo) from Iran?

Due to banking sanctions, direct payment via Iranian credit cards is impossible. The community relies on intermediary services (such as Iranicard, TehranPayment, or crypto-based virtual Visa/Mastercard providers). Be aware that these services charge a commission, making the effective cost higher.

Which AI tools work in Iran without restrictions or VPNs?

Direct access to global leaders (OpenAI, Anthropic) requires a VPN. However:

• Domestic APIs: Companies like Part AI offer local APIs.
• Telegram Bots: Many Iranian developers have built Telegram bots that proxy requests to ChatGPT or Claude. These are accessible without a VPN, though you must trust the bot developer with your data privacy.
• Poe.com: Sometimes remains accessible and aggregates multiple models, though its status fluctuates.

What are good alternatives to restricted image generators?

If you cannot access Midjourney via Discord or pay for it, Bing Image Creator (powered by DALL-E 3) is an excellent, free alternative that is highly capable of generating photorealistic images and text within images.

---

🔴 5. Technical Questions

What exactly are “tokens” and why do they cost money?

A token is a piece of a word. The AI doesn’t read words; it reads tokens. In English, 1 token is about 4 characters (e.g., “hamburger” might be 3 tokens: “ham”, “bur”, “ger”).
Important for Persian speakers: Because of how text encoding works, Persian text is highly inefficient. A single Persian word might consume 3 to 5 times more tokens than its English equivalent. This means your context window fills up faster, and API costs are higher when processing Persian.

What is the difference between GPT-4 and GPT-4o?

“GPT-4” was the massive flagship model released in 2023. “GPT-4o” (the ‘o’ stands for omni) is the newer version. It is faster, significantly cheaper to run, and is natively multimodal (it processes audio, vision, and text simultaneously in real-time, rather than translating audio to text first).

How do I use AI APIs?

An API allows your software code to talk directly to the AI’s servers. Instead of using the ChatGPT web interface, you write a Python script that sends a prompt to OpenAI’s server and receives the text back. This is how you build your own AI apps. You are billed precisely per token used, not a flat monthly fee.

What is RAG (Retrieval-Augmented Generation) and do I need to learn it?

If you are just a standard user, no. If you are a developer or a business owner, yes. RAG is the process of hooking up an LLM to a private database. Instead of the AI relying on its general memory, RAG forces the AI to search your specific company PDFs or databases first, read them, and then answer the user’s question based only on that retrieved data. It is the primary way businesses stop AI from hallucinating.

---

⚫ 6. Privacy, Security & Ethics

Is it safe to share personal or business data with AI?

NO. If you are using the free consumer versions of ChatGPT, Claude, or Gemini, you must assume that any text you paste into the chat box can be reviewed by human trainers and used to train future versions of the model.

• Never upload sensitive financial data, trade secrets, passwords, or Private Health Information (PHI) to free tools.

How can I use AI securely for my company?

If you need data privacy, you must use enterprise-grade solutions.

1. API Access: OpenAI states they do not use data sent via their paid API for training.
2. Enterprise Plans: Subscriptions like ChatGPT Team, ChatGPT Enterprise, or Claude for Work have explicit legal agreements that your data is not used for training.
3. Local Models: The most secure method is downloading an open-source model (like Llama 3) and running it entirely offline on your own local servers.

Can AI-generated content be detected by schools or employers?

AI detection tools (like GPTZero or Turnitin’s AI detector) exist, but they are fundamentally flawed and statistically unreliable. They frequently flag 100% human-written text as AI (false positives) and miss heavily edited AI text (false negatives). However, a sudden, massive shift in your writing style, vocabulary, or the sudden absence of typos is usually a dead giveaway to human readers.

How do I avoid plagiarism when using AI for academic work?

Do not ask the AI to “write an essay.” Ask the AI to act as a tutor, brainstorm outlines, explain complex topics, or critique an essay you have already written. If you use AI to generate text directly, you are bypassing the learning process and risking academic integrity violations. Use it as a research assistant, not an author.

← Previous | 🏠 Home