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Welcome to AI Maniacs (2026 Edition)

Welcome to AI Maniacs - your practical guide to AI agents, autonomous systems, and the modern AI landscape. Updated for 2026.

What's Changed Since You Were Last Here

AI has evolved from chat interfaces to autonomous agents that complete tasks independently. If you learned AI in 2023-2024, much has changed. This course reflects the current reality: agents, skills, and delegation over prompting.

What You'll Learn​

If you're new to AI:

  • How AI agents work (they do tasks, not just answer questions)
  • Building your first autonomous workflows
  • Using tools like Claude Code, Cursor, and Perplexity
  • Creating custom AI skills for your needs
  • Safe, ethical AI use in professional settings

If you used AI before 2026:

  • The shift from chat → agents
  • New tools: Cursor, Claude Code, v0.dev, Bolt.new
  • Skills ecosystem and customization
  • MCP (Model Context Protocol) for tool integration
  • Multi-agent orchestration

Course Structure​

Updated for 2026:

  1. 🧠 AI 101: Foundations - Core concepts (updated for 2026 capabilities)
  2. 🤖 AI Agents ⭐ NEW - Autonomous AI systems and workflows
  3. 🏢 AI Tools & Platforms - Current landscape (Claude, ChatGPT, Gemini, and agent tools)
  4. ⚡ Practical Applications - Real-world agent implementations
  5. 🔧 Automation - Agent-first workflow design
  6. 💼 AI and Careers - Industry-specific AI stacks
  7. 🎓 AI Power User (was AI 201) - Advanced techniques
  8. 🔌 Model Context Protocol (MCP) - Connect AI to tools and data

Start Here (2026 Recommendations)​

Path 1: "I'm Brand New to AI"​

  1. Start with What is AI? to build foundation
  2. Try Claude or ChatGPT (both free)
  3. Give it a real task: "Research X and create a summary document"
  4. Jump to AI Agents Overview to see what's possible
  5. Browse 50+ Agent Use Cases for ideas

Path 2: "I Used ChatGPT in 2023-2024"​

  1. Read AI Agents Overview to understand the shift
  2. Check Tools & Platforms 2026 for what's new
  3. Try the latest Claude or ChatGPT models (both are much more capable now)
  4. Learn about Skills & Instructions
  5. Build your first agent from Use Cases

Path 3: "I'm a Developer"​

  1. Install Cursor immediately (most popular AI IDE)
  2. Try Claude Code in terminal
  3. Experiment with v0.dev or Bolt.new
  4. Learn MCP for tool integration
  5. Build an agent with LangGraph or Claude SDK

Path 4: "I Want to Build Systems"​

  1. Understand Agent Patterns
  2. Learn MCP Integration
  3. Explore Multi-Agent Systems
  4. Study Agent Safety
  5. Choose no-code (Relevance AI, Lindy) or code (LangGraph, CrewAI)

Key 2026 Concepts​

Agents > Assistants Stop thinking "What should I ask AI?" Start thinking "What should I delegate to an agent?"

Skills Ecosystem Extend AI with custom capabilities via skills.sh and custom instructions

MCP Standard Connect AI to tools, databases, and APIs using the industry-standard protocol

Context is Huge 200K-2M token windows mean you can give AI entire codebases, document sets, or conversation histories

Multi-Modal Default Text, images, audio, video - all in one interface, no special modes needed

What's Different in 2026​

Then (2023-2024):

  • Chat interface only
  • Copy/paste outputs
  • Limited context (4K-32K tokens)
  • Hallucinations common
  • One-shot responses

Now (2026):

  • Autonomous agents
  • End-to-end task completion
  • Massive context (200K-2M tokens)
  • Tool use and verification
  • Multi-turn reasoning

The shift: From "AI helps me work" to "AI works for me"

Ready to dive in? Choose your path above or start with AI Agents.