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Exploration of basics of agents

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# Agent Basics

Learning resources for understanding how to use LLMs in your app and build agents. A collection of sample projects and read-through notes.

**Ideal audience:** PMs who are trying to learn how to build AI products.

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## Learning Notes

These notes will help you build the right mental models for understanding how LLM applications work.

| Topic | Description |
|-------|-------------|
| [Basics of using LLMs in your app](./learning-notes/Basics%20of%20using%20LLMs%20in%20your%20app/Basics%20of%20using%20LLMs%20in%20your%20app.md) | Understanding LLM APIs, request/response patterns, orchestration layers, and structured I/O |
| [Tool calling - Deep dive](./learning-notes/Tool%20calling%20-%20Deep%20dive/Tool%20calling%20-%20Deep%20dive.md) | How LLMs call tools, structured responses, and API flows for OpenAI and Claude |
| [Model Context Protocol (MCP)](./learning-notes/Model%20Context%20Protocol%20(MCP)/Model%20Context%20Protocol%20(MCP).md) | MCP architecture, tools, resources, and how to build MCP servers and clients |

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## Sample Projects

These are simple projects I built as part of my learning. Some are taken from other online resources and I just modified them or used coding agents to understand how they work.

| Project | Description |
|---------|-------------|
| [LLM App + MCP interactive Visualiser](./llm-app-mcp-visualisation/README.md) | Interactive visualisation of how LLM apps work with MCP integration |
| [anthropic-agent-cookbook](./anthropic-agent-cookbook/) | Anthropic's agent patterns and examples |
| [andrew-ng-agentic-ai](./andrew-ng-agentic-ai/) | Andrew Ng's Agentic AI course material |

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## Learning Resources Coming Soon

| Topic | Description |
|-------|-------------|
| **Common Agent Tools** | |
| Agent Memory | Vector DB and RAG implementations |
| Agent Code Exec Tool | Code execution capabilities for agents |
| Agent Computer Use | Desktop and system interaction |
| Agent Browser Use | Web browsing and automation |
| **Agent Evals** | |
| Code-based and LLM-as-a-Judge Evals | Evaluation methodologies for agent outputs |
| Evals as an Organisational Process | Implementing evals at scale |
| **Agent Frameworks and SDKs** | |
| Claude SDK | Anthropic's official agent SDK |
| Google ADK | Google's Agent Development Kit |
| Langchain / Langgraph | Popular agent orchestration frameworks |
| **Other Protocols** | |
| Google A2A Protocol | Agent-to-Agent communication standard |
| AGUI Protocol | Agent GUI interaction protocol |
| **Other Topics** | |
| Agentic Design Patterns | Common patterns for building effective agents |
| n8n and No-Code Platforms | No-code agent development tools |

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