Artificial Intelligence on Intellectual Guides

5 Essential AI Prompt Techniques to Learn in 2026 That Boost Efficiency 10x

Sat, 25 Jul 2026 00:00:00 +0000

Why Isn’t ChatGPT Working as Well for You as It Does for Others?

You’ve probably had this experience: you spend 20 minutes crafting a long, detailed question, but the AI’s answer still misses the mark — it’s off-topic, too vague, or simply unusable. With the exact same tool, some people use it for coding, copywriting, and data analysis to dramatically boost their productivity, while others use it for six months and still think, “It’s just a chatbot.”

The key isn’t the tool — it’s how you ask.

In 2026, AI tools have become a fundamental infrastructure across every industry. But most people only use about 10% of their potential — because they don’t yet know what makes a “good prompt.” Writing great prompts isn’t a talent you’re born with; it’s a learnable methodology. Today I’ll share 5 of my most-used prompt techniques, each with complete examples you can apply immediately.

If you want to master these skills systematically rather than picking them up here and there, check out AI Prompt Library — my curated collection of 200+ premium prompts covering work, learning, and creative scenarios so you don’t have to figure it all out on your own.

Technique 1: Persona Setup (With Full Prompt Example)

This is the simplest yet most powerful technique. When you assign a specific role (Persona) to the AI, it automatically adjusts its tone, depth of knowledge, and response structure.

❌ A Bad Prompt

Tell me how to do social media marketing.

The answer you’ll typically get is broad and shallow: “Post content, engage with followers, analyze data…” Well, yes, but that’s not really helpful.

✅ Using Persona Setup

You are a social media marketing director with 10 years of experience who has worked with over 50 brands. You excel at explaining strategy through real-world case studies. Please create a 30-day plan for me to help a “startup tech team build an Instagram account from scratch.” Requirements:

One theme per week

Suggested post type for each day

One measurable goal per week

Writing examples for each post type

Why This Works

Assigning a persona triggers the AI to draw on expert-level knowledge in that domain. Instead of giving you generic “social media marketing principles,” it produces a structured, actionable 30-day plan — that’s the massive difference persona setup makes.

Universal Formula: You are [Role] + You have [Experience/Credentials] + Please [Specific Task] + Requirements [Format/Structure]

Technique 2: Step-by-Step Guidance

Complex human tasks are possible because we break big goals into small steps. You should do the same when asking AI for help.

Real-World Example

Let’s say you want the AI to write a product launch copy, but you don’t want to give it all instructions at once. Here’s how you can approach it:

Step 1: You are an experienced copywriter. Please write a target audience analysis for my “AI Prompt Engineering Course.” The product is priced at $2,999, and the target audience is working professionals aged 25–45. List 5 typical audience profiles.

Once the AI responds, follow up with:

Step 2: Based on the audience profiles just analyzed, write the opening paragraph of a Landing Page targeting “Audience #3: a mid-career manager who wants to improve work efficiency within 3 months.” Address their pain point: spending too many hours on repetitive tasks with no time to learn new skills.

This “step-by-step” approach is like collaborating with a true expert — you guide them step by step toward the result you want. Compared to a vague command like “write a complete marketing copy,” the quality of output at each step is exponentially better.

Technique 3: Chain of Thought

“Chain of Thought” asks the AI to show its reasoning process before giving you an answer. This technique is especially powerful for tasks requiring precise analysis, mathematical computation, or complex decision-making.

How to Use It

Add this line to the end of any prompt:

Before answering, please think through your reasoning step by step and show your thought process.

Real-World Example

Let’s say you want the AI to help you do a market analysis:

I need to decide whether to launch an “AI Prompt Toolkit” product. There are currently three major competitors in the market, with price ranges between $199 and $599.

Please think through step by step:

First, analyze the overall demand trends in this market

List 3 potential differentiation advantages for us

Evaluate pricing strategy, considering competitor prices and target customers’ willingness to pay

Finally, provide a comprehensive recommendation: is it worth doing? If yes, what price do you suggest?

If you just asked for a conclusion, the AI might say “Yes, it’s worth it — I recommend pricing at $299.” You’d have no idea why. But if you require it to show its thinking process, you can evaluate whether its analysis is reliable, spot any gaps, and then make adjustments.

Important: In actual prompts, avoid vague phrases like “think step by step.” Instead, be specific: “First list all relevant factors, then analyze each one individually, and finally provide a comprehensive evaluation.” The more specific, the better.

Technique 4: Few-Shot Examples

Few-shot learning means giving the AI a few “input → output” examples so it learns your preferred style or format. This is particularly effective for tasks that require consistent quality.

Real-World Example

You want the AI to write product reviews, but you don’t want the format to vary each time:

Please write product reviews for me. The examples below show the format you should follow:

Example 1: Input: Product Name: AI Prompt Library; Price: $29; Key Features: 200+ prompt templates Output: 📊 Overall Rating: 4.5/5 💡 Highlights: The prompt quality exceeded expectations and covers very comprehensive scenarios, from copywriting to programming. ⚠️ Shortcomings: It would be perfect if there were more advanced scenario prompts. 🎯 Best For: Beginner to advanced users who need to learn prompt engineering systematically.

Example 2: Input: Product Name: Feishu Operations Template; Price: $49; Key Features: Project management, OKR, CRM templates Output: 📊 Overall Rating: 4.8/5 💡 Highlights: The templates cover nearly all scenarios for SME daily operations. ⚠️ Shortcomings: Some advanced features require a learning curve. 🎯 Best For: Small teams undergoing digital transformation.

Now please write: Input: Product Name: AI Teaching Course; Price: $99; Key Features: A complete course to learn prompt engineering from scratch

See? You don’t need many examples — usually 2–3 is enough. The AI will pick up the format, tone, and level of detail you want.

Technique 5: Self-Correction

This is my favorite technique — not because it’s the most advanced, but because it gets the AI to “check its own mistakes.”

How to Use It

After giving the AI a task, add this line:

Now please review your previous answer. Are there any errors, incomplete sections, or areas that could be improved? If so, please provide a revised version.

Real-World Example

You ask the AI to write a product description:

Write a product description under 150 words introducing our AI Prompt Library.

After the AI responds, follow up with:

Great, thank you. Now put on the hat of a critical product manager and please:

Identify the three weakest points of this description

Point out any customer benefits that aren’t communicated clearly

Provide an improved version

This “play the critic then produce a better version” approach typically lifts the output quality by over 50%. On the first pass, the AI doesn’t have time for self-reflection — but give it that opportunity, and it will deliver.

Summary and Next Steps

I recommend practicing these 5 prompt techniques in the following order:

Order	Technique	Difficulty	Impact
1	Persona Setup	⭐	30%
2	Step-by-Step	⭐⭐	40%
3	Chain of Thought	⭐⭐	50%
4	Few-Shot Examples	⭐⭐	60%
5	Self-Correction	⭐	20% (but stacks with others)

Note that Self-Correction on its own isn’t the highest-impact technique, but when combined with the others, it pushes your output quality to the next level.

Want to Systematically Learn More?

These 5 techniques are just the beginning. The world of AI prompts is vast — different tools (ChatGPT, Claude, Gemini, Grok) each excel in different areas, and different scenarios (marketing, coding, data analysis) require different prompting strategies.

If your goal isn’t just to “dabble with AI” but to truly make it your superpower, I highly recommend trying AI Prompt Library — a battle-tested collection of 200+ prompt templates covering every AI application scenario you’re likely to encounter in your daily work.

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Reading time: ~12 minutes | Last updated: July 25, 2026

ChatGPT vs Claude 3.5: Which AI Is Right for You in 2026?

Sat, 25 Jul 2026 00:00:00 +0000

Why You Should Use Both ChatGPT and Claude in 2026

The right answer might surprise you.

Over the past two years, we’ve seen a relentless flood of “who’s the smartest?” ads from major AI companies — GPT-4o, Claude 3.5, Gemini 1.5 Pro, even GPT-5. Each one is touted as the “best AI ever.” But after extensive real-world use, I’ve reached a conclusion that probably contradicts the marketing hype:

There is no best AI — only the best AI for your specific needs.

ChatGPT and Claude 3.5 each have clear strengths. People who use the right tools for the right tasks see their productivity jump several levels above those who stick to just one. In this article, I’ll use real-world examples to analyze the pros and cons of both and show you how to combine them effectively.

If you want to upgrade your AI tools from “occasional casual chats” to a “true productivity engine,” check out my AI Course, which includes complete setup guides and workflow tutorials.

ChatGPT 3.5: Strengths and Limitations

ChatGPT (using OpenAI’s latest model as our benchmark) remains the world’s most widely used AI tool, and the reason is straightforward: it has the most complete ecosystem.

Strengths

1. Most Balanced General Capabilities

ChatGPT stays at the top across all major benchmark tests. It doesn’t have glaring weaknesses, which means whether you ask about coding, copywriting, data analysis, or translation, it consistently delivers “solidly above average” answers. For everyday use, this balance is actually a major advantage.

2. Strongest Ecosystem Integration

OpenAI’s edge isn’t in any single model’s capabilities, but in its ecosystem: the ChatGPT App Store has over 500,000 plugins that connect to your Gmail, Google Calendar, GitHub, Notion, and almost every other tool you use. Claude doesn’t currently have integrations at this scale.

3. Mature Multimodal Abilities

ChatGPT handles text, images, and audio simultaneously. You can upload a screenshot for error analysis, send a voice recording for summarization, or share a chart and have it generate an analysis report. This capability is extremely practical in real-world workflows.

4. Better Chinese Language Support

While Claude 3.5’s Chinese capability is already impressive, ChatGPT still edges ahead in handling Traditional Chinese — especially for regional expressions, colloquialisms, and business contexts common in Taiwan. If your primary language is Chinese, ChatGPT will feel more natural.

Limitations

1. Context Window Constraints

ChatGPT’s context window is 128K tokens (about 100,000 words), but when processing extremely long documents (like a 500-page report), it may “miss” certain details. Claude 3.5 has a slight edge here.

2. Creative Writing Leans Conservative

ChatGPT’s responses tend toward “safe” and “comprehensive,” sometimes feeling overly neutral and lacking surprising creativity. If you need breakthrough thinking, Claude may give you more unexpected answers.

Claude 3.5 Sonnet: Strengths and Limitations

Anthropic’s Claude 3.5 Sonnet is widely regarded by professionals in 2026 as the most “human-like” AI assistant. It has several advantages ChatGPT simply can’t match.

Strengths

1. Longer Context Window

Claude 3.5 supports a 200K token context window (about 160,000 words), meaning you can paste an entire 300-page document and ask it to summarize key points or answer specific questions. For lawyers, researchers, and data analysts, this capability is revolutionary.

2. More Natural Writing Style

Many users (myself included) find Claude’s writing style less “robotic” than ChatGPT’s. It uses fewer formulaic structures like “First, second, finally” and is less likely to tack on a summary paragraph at the end. Its responses flow more naturally and read like they were written by a person.

3. Stronger Logical Reasoning

In coding and mathematical reasoning benchmarks, Claude 3.5 often outperforms ChatGPT. For complex code debugging, data structure design, and multi-step logical reasoning, Claude typically produces more precise answers.

4. Fewer Overly Cautious Warnings

ChatGPT is notorious for being “overly cautious” — even for safe questions, it may pile on a wall of disclaimers. Claude, while still maintaining safety, answers questions more directly and provides more useful information.

Limitations

1. Smaller Plugin Ecosystem

This is Claude’s most obvious weakness. ChatGPT has tens of thousands of integration plugins, while Claude’s integrations currently focus on a few major platforms (Slack, Shopify, Stripe). If you have highly specific tool integration needs, ChatGPT is the better choice.

2. Slightly Weaker Chinese Capability

While Claude’s Chinese is already good, in some situations (especially when identifying colloquial expressions or regional slang), ChatGPT will still be more accurate.

3. More Restrictive Free Tier

ChatGPT’s free version, while limited, is still usable; Claude’s free tier has stricter daily usage caps.

Real-World Scenario Comparison

Enough theory — let’s look at actual cases. Below is a comparison of real work I completed using both tools over the past month.

Scenario 1: Copywriting

Task: Write Landing Page copy for an AI prompt tool product

Dimension	ChatGPT	Claude 3.5
Copy Appeal	Well-structured but slightly formulaic	More natural and fluent, more memorable
Market Insights	Standard SWOT analysis framework	Delivered more unique perspectives
Revision Speed	Required multiple iterations to adjust tone	Nailed the ideal version in one revision

Verdict: Claude wins clearly on creative writing. If you’re a marketer or copywriter, Claude will be your better partner.

Scenario 2: Software Development

Task: Write a Python script to automatically organize files in a folder

Dimension	ChatGPT	Claude 3.5
Initial Code Quality	Usable but requires significant revision	Nearly ready to run as-is
Debugging Ability	Requires you to provide explicit error messages	Can infer the problem from context
Code Explanation	Standardized explanations	More practical, development-context-aware explanations

Verdict: Claude leads in development, especially with higher first-pass quality for complex scripts. However, ChatGPT’s GitHub integration gives it an edge in code management.

Scenario 3: Data Analysis

Task: Analyze a dataset of 1,000 sales records to identify trends

Dimension	ChatGPT	Claude 3.5
Data Processing	Can handle smaller datasets	Handles larger datasets more effectively
Visualization Suggestions	Standard chart type recommendations	Proposes more innovative presentation approaches
Depth of Insights	Surface-level trend descriptions	Deep analysis of underlying causes

Verdict: Claude performs better in data analysis, particularly with large datasets and deep insights.

How to Set Up Your AI Workflow

My advice: don’t choose one — use both.

Here’s a concrete way to configure your AI tools:

Use Claude for:

Creative writing and copywriting
Coding and debugging
Long-document summarization and data analysis
Complex problems requiring deep reasoning

Use ChatGPT for:

Everyday chats and quick lookups
Tasks requiring plugin integration (e.g., writing Gmail, managing calendar)
Chinese content generation (especially when Taiwan-specific expressions are needed)
Multimodal tasks (image analysis, voice processing)

Practical Setup Steps:

Install both ChatGPT and Claude apps on your phone and computer
Create separate workspaces: use Claude for “deep work” and ChatGPT for “daily tasks”
Leverage both ecosystems: ChatGPT plugins + Claude’s API integrations
Choose the tool based on the task — this is a judgment you’ll develop with practice

How the AI Course Helps You Get Started Fast

Knowing what the best tools are is one thing — learning to use them well is another.

Many people face this dilemma: they know AI is powerful, but they don’t know where to start. They’ve watched a few YouTube tutorials, picked up some scattered prompt tips, but lack a systematic approach.

My AI Course is designed to solve exactly this problem. It covers:

Phase 1: Foundations — Complete setup guides for ChatGPT and Claude, basic prompt techniques
Phase 2: Advanced — How to build your own workflows, use plugins and APIs, automate repetitive tasks
Phase 3: Professional — Hands-on AI applications for coding, data analysis, and marketing copywriting

Priced at just $99 (compared to hundreds of dollars per consultation), with lifetime free updates. You get a complete AI skill system — not just a handful of random prompts.

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Reading time: ~14 minutes | Last updated: July 25, 2026