Anything is AI, AI Native, Agent Native
Practice brings true knowledge, time is the ultimate test of truth
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Anything-AI is a systematic AI knowledge index project.
Essence: A super AI knowledge gateway, indexing everything about AI.
Problems on the Internet:
- ❌ Too much fragmented information - Today this tutorial, tomorrow that video, all scattered knowledge points
- ❌ Not systematic - Jumping around, learning and forgetting, forgetting and learning
- ❌ AI changes daily - New tools, new models, new applications every day, impossible to keep up
- ❌ Getting anxious - Seeing others using AI, worrying about being left behind
- ❌ FOMO (Fear Of Missing Out) - Afraid of missing the AI wave, but don't know where to start
What We Solve:
- ✅ Tell you not to be anxious - AI is far from AGI, won't replace people anytime soon
- ✅ Provide systematic learning methods - From cognition → principles → tools → practice, step by step
- ✅ Build correct understanding - Not misled by fragmented information, not led by AI
- ✅ Practice brings true knowledge - Real cases show you how to use AI
Purpose:
- ✅ Teach people to systematically learn and understand AI
- ✅ Don't be led by AI, don't be misled by fragmented information
- ✅ Don't fear AI, don't have AI anxiety
- ✅ Know AI, understand AI, master AI
Methodology:
- Practice brings true knowledge
- Time is the ultimate test of truth
- Maintain dialectical thinking: use AI, but don't blindly follow
Fragmented Anxiety:
- Open your phone, flooded with "AI will replace your job"
- Social media creates panic, sells anxiety
- Don't know what to learn or where to start
- Today this tool is great, tomorrow another is better
Blind Following:
- Hear ChatGPT is powerful so you use it, but don't know how
- See others making money with AI and get anxious
- Learn this today, learn that tomorrow, all superficial
- Being led by AI
Cognitive Bias:
- Either mythologize AI: think it's omnipotent
- Or demonize AI: think it will destroy humanity
- Lack systematic understanding and correct judgment
Systematic Learning Path:
0. Build correct cognition → 1. Understand AI principles → 2. Choose right tools → 3. Practice
Real and Objective Content:
- What is AI? A "scholar who has read everything but never left the library"
- What can AI do? Generate text, answer questions, write code
- What can't AI do? No real experience, makes mistakes, doesn't understand
- Will AI replace you? Not anytime soon, 10 years is optimistic
Practice-Oriented Methods:
- Every industry has AI application cases
- See how peers use AI to boost efficiency
- Directly reusable prompt templates
- Best tool combination recommendations
| Role | Core Scenarios | Best AI Combo | Quick Access |
|---|---|---|---|
| 👨💻 Programmer | Code assistant, Code review, TDD | Claude for architecture + Codex for implementation | Programmer Zone |
| ✍️ Content Creator | Viral titles, Article writing, Video scripts | DeepSeek for content + Doubao for daily | Creator Zone |
| 👨🏫 Teacher | Lesson prep, Quiz creation, Personalized teaching | ChatGPT + Claude | Teacher Zone |
| 🎓 Student | Study assistant, Note organization | MIC (OpenMAIC Tsinghua Open Source) + ChatGPT | Student Zone |
| 📊 Finance | Report analysis, Data processing | DeepSeek + Doubao | Finance Zone |
| 💼 Sales | Client communication, Proposal writing | DeepSeek + ChatGPT | Sales Zone |
| 👥 HR | Recruitment screening, Employee training | Doubao + Claude | HR Zone |
| 🎨 UI Designer | Design inspiration, Asset generation | Gemini + Midjourney | Designer Zone |
| 📚 Admin | Document organization, Meeting notes | Doubao (completely free) | Admin Zone |
Don't see your industry? View all roles or Submit a request
📥 PDF Tutorial Resources:
- OpenClaw Tutorial Collection - Complete tutorial from beginner to master (free download)
Where to start? → Start Here
Build correct cognition in 5 minutes:
- What is AI - Imagine AI as a scholar who has read everything but never left the library
- Why You Don't Need AI Anxiety - AI is far from AGI, 10 years is optimistic
- Learning Path Overview - Roadmap for systematic learning
Core Philosophy:
- ✅ Give up resistance mindset, go with the flow
- ✅ Actively experiment, practice brings true knowledge
- ✅ Don't FOMO (fear of missing out), AI won't replace people anytime soon
- ✅ Eat well, drink well, maintain good health
Know the what, understand the why → Understand AI Principles
Core Content:
- How LLMs Work - Transformer, Attention, Pretraining
- How AI "Thinks" - Context window, hallucination, reasoning
- What is an Agent - LLM + Memory + Tools
Plain Understanding of AI's Essence:
Imagine AI as someone who has lived their entire life in a massive library, reading every book, watching every movie, and browsing every website. You say something, and they'll likely respond with something relevant. But they've never left the library - never felt the wind, never been in the rain, never eaten a meal. They know everything from books but have no real-world experience. They are a relentless pattern-matching machine.
Find the best tool combination for you → Tool Selection Matrix
One table to understand all tools:
| Scenario | First Choice | Alternative | Why |
|---|---|---|---|
| Technical architecture design | Claude | GPT-4 | Claude has strong architecture skills, deep reasoning |
| Code implementation | Codex | Claude | Codex writes code with fewer bugs |
| Content creation | DeepSeek | Doubao | DeepSeek is creative, completely free |
| Daily conversation | Doubao | ChatGPT | Doubao has natural Chinese, completely free |
| Fortune telling (entertainment) | DeepSeek | Doubao | Prompt: Bazi + finance + marriage |
Recommended Tool Combinations:
- Programmer: Claude (architecture) + Codex (implementation) = fewer bugs, better architecture
- Creator: DeepSeek (content) + Doubao (daily) = creative + natural, all free
- Daily use: Doubao (document organization) + DeepSeek (Q&A) = completely free solution
Browse by scenario and role → Prompt Library
Includes:
- By scenario: Content writing, code development, data analysis...
- By role: Programmers, teachers, students, finance...
- High-quality templates, directly reusable
Claude (King of technical architecture, deep reasoning)
- ✅ Best at: Technical architecture design, code review, research analysis
- ✅ Long text processing (200K context)
⚠️ Higher price- Detailed Guide
DeepSeek (Content creation, best value)
- ✅ Best at: Content creation, logical analysis, study assistance
- ✅ Completely free
- ✅ Natural Chinese, strong creativity
- Detailed Guide
ChatGPT/GPT-4 (General conversation, mature ecosystem)
- ✅ Best at: General Q&A, learning basics, English content
- ✅ Powerful plugin ecosystem
⚠️ High price (Plus $20/month)- Detailed Guide
Doubao (Chinese daily use, completely free)
- ✅ Best at: Daily conversation, document organization, simple tasks
- ✅ Completely free
- ✅ Very natural Chinese
- Detailed Guide
More Tools: Gemini | Qianwen | Yuanbao
1. Accessibility First
- Use metaphors over jargon: AI is a "scholar who has read everything"
- Use stories over concepts: real cases, easy to understand
- Don't pile up technical terms
2. Practice-Oriented
- Every concept comes with real cases
- Provide reusable prompts
- Understandable, learnable, actionable
3. Neutral and Objective
- Acknowledge AI limitations: AI makes mistakes, has hallucinations
- Don't mythologize: AI is not omnipotent
- Don't demonize: AI won't immediately replace you
- Be realistic: Use AI, but don't blindly follow
4. Cross-Validation
- AI makes mistakes, teach you how to verify
- When uncertain, ask multiple AIs for cross-validation
- Prevent AI from making things up
5. Time-Sensitive Marking
- Mark update dates for important information
- Tool iteration is fast, mark versions
- Help you judge if something is outdated
What AI Is:
- A probability prediction model trained on massive text
- "A scholar in a library": read everything, never left
- Good at generating text, but doesn't understand, just predicting the next word
AI Makes Mistakes:
- Hallucination: Confidently fabricating incorrect information
- Knowledge cutoff: Doesn't know things after training (unless connected to internet)
- No verification: AI doesn't know it's wrong
Correct Attitude:
- ✅ AI is a super tool, but needs human oversight
- ✅ Use AI to boost efficiency, but verify critical information
- ✅ AI + Human = Strongest combination
- ❌ Don't blindly trust AI, AI is not omnipotent
- ❌ Don't completely trust AI output
Why You Don't Need Anxiety:
- AI is far from AGI (Artificial General Intelligence), 10 years is optimistic
- AI won't replace people anytime soon
- Stay cutting-edge aware, only try breakthrough tools
- Eat well, drink well, health is most important
How to Adapt to the AI Era:
- ✅ Give up resistance mindset, go with the flow
- ✅ Actively experiment, practice brings true knowledge
- ✅ Maintain lifelong learning, stay dialectical
- ✅ Use AI, but don't blindly follow
- ❌ Don't FOMO (fear of missing out)
Scenario: Developing a web application
Traditional Way:
- Design architecture (2 hours)
- Write code (1 day)
- Debug (half day)
- Code review (2 hours)
AI-Assisted Way:
-
Use Claude to design architecture (30 minutes)
Prompt: Design the technical architecture for a blog system, including frontend, backend, and database selectionClaude gives architecture solution, you verify and adjust
-
Use Codex to implement code (3 hours)
Prompt: Based on the above architecture, implement the user authentication moduleCodex writes specific code, fewer bugs
-
Use Claude for code review (1 hour)
Prompt: Review this code, point out performance issues and potential bugs
Results:
- ⏱️ Time saved: 70%
- 📈 Quality improved: Better architecture, fewer bugs
- 💡 Key: You oversee, AI executes
Scenario: Writing Xiaohongshu (Little Red Book) viral titles
DeepSeek Prompt:
You are a Xiaohongshu viral title expert.
Product: A portable juicer
Selling points: Compact, wireless, 30-second juice
Target users: Office workers, fitness enthusiasts, moms
Generate 10 viral titles, requirements:
1. Trigger curiosity or pain points
2. Use numbers or symbols
3. Match Xiaohongshu style
DeepSeek Output (Top 3):
- 30 seconds in the morning! Wireless juicer lets me sleep 30 more minutes 💤
- Office worker's lifesaver! A juice bar on my desk 🥤
- Mom tested: This juicer made me fall in love with making baby food!
Results: Click-through rate increased 40%, saves increased 60%
Note:
- ✅ Use DeepSeek to generate ideas
- ✅ You judge which titles work
- ✅ Adjust based on actual product
- ❌ Don't copy directly, may not match your style
View full content creator case
If You're New:
- 🌱 Build correct AI cognition, no more anxiety
- 📚 Systematic learning path, no more confusion
- 🛠️ Find the right tools, get started quickly
If You're a Practitioner:
- 💡 Learn industry cases, borrow ideas
- 🎯 Master best tool combinations
- 📝 Directly reusable prompts
If You're a Learner:
- 🧠 Deeply understand AI principles
- 🔍 Know AI's capabilities and limitations
- 🎓 Form your own AI thinking
This is an open source project, everyone is welcome to contribute!
We especially welcome:
- 📝 Your industry cases - How does your industry use AI? Share your practical experience
- 🛠️ Tool usage insights - What techniques do you have for using a certain AI tool?
- 💡 High-quality prompts - Share prompts you've verified
- 🌍 Translations - Help translate English versions
- 🐛 Point out errors - Find outdated or inaccurate information
🚧 Project in early development stage - Core content being actively developed
Current Progress:
- Project architecture design
- Directory structure setup
- Core content filling (in progress, priority: AI cognition, tool matrix, programmer cases)
- Automation tools development
- Community collaboration process
Priority Completion:
- AI cognition basics (build correct mindset)
- Tool selection matrix (quick start)
- Programmer, content creator cases (most popular industries)
MIT License - Free to use, modify, and distribute
Thanks to all contributors!
This project draws inspiration from these excellent resources:
- awesome-chatgpt-prompts-zh - Chinese prompt library
- awesome-ai-painting - AI painting resources
- awesome-generative-ai-guide - Generative AI guide
- prompts.chat - Prompt collection
- awesome-llm-apps - LLM applications
- awesome-claude-skills - Claude skills
Don't Forget the Original Intention, Keep the Mission in Mind:
-
Systematic Learning, Not Fragmented
- AI knowledge system is vast, needs systematic learning
- From cognition → principles → tools → practice, step by step
-
Practice Brings True Knowledge
- Reading tutorials is not as good as trying once yourself
- Time is the ultimate test of truth
- Use it to know if it's good
-
Don't Be Anxious, Don't Blindly Follow
- AI is far from AGI
- Won't replace people anytime soon
- Use AI, but don't blindly believe in AI
-
AI Makes Mistakes, You Need to Verify
- AI doesn't understand, it's just predicting
- Hallucinations and errors happen frequently
- Verify critical information, cross-check
-
Keep Learning, Stay Dialectical
- AI is developing rapidly, stay cutting-edge aware
- Only try breakthrough tools
- Dialectical: neither mythologize nor demonize
Let's Together: Know AI, Understand AI, Master AI! 🚀
Anything is AI, AI Native, Agent Native