The essential starter kit for building real AI agents — featuring foundational docs and internal guides from OpenAI, Google, and Anthropic. These are the original source materials used by the teams defining how agents actually work.
📎 All documents are publicly available and shared here for educational purposes only. Original authors retain all rights.
| Title | Author / Org | Summary |
|---|---|---|
| A Practical Guide to Building Agents | OpenAI | Core components: planner, executor, memory, iteration. How to make agents work in practice. |
| AI in the Enterprise | OpenAI | Strategic rollout and value-first adoption of AI agents across organizations. |
| Building Effective Agents | Anthropic | Claude-specific prompt flows, memory linking, and agent iteration. |
| Prompting Guide 101 | Role-based prompting, Gemini tips, and Google Workspace integrations. | |
| 601 Real-World AI Use Cases | Google Cloud | Broad collection of applied AI scenarios, many involving agents. |
| Identifying & Scaling AI Use Cases | OpenAI | Impact-effort filters, readiness checklists, risk mapping. |
| Prompt Engineering Whitepaper | From zero/few-shot to ReAct, CoT, RAG. Includes structured prompt examples. | |
| Agents Companion | Full agent pipelines, system metrics, and two real implementation case studies. |
- Engineers building LLM-based agents from scratch
- Product teams deploying autonomous systems
- Researchers designing agent architectures
- Builders looking for first-hand, high-quality reference material
/expert-guides/ ├── openai-practical-agents.pdf ├── openai-enterprise-guide.pdf ├── anthropic-building-agents.pdf ├── google-prompting-101.pdf ├── google-601-usecases.pdf ├── openai-scaling-usecases.pdf ├── google-prompt-engineering.pdf ├── google-agents-companion.pdf
Each file is named clearly and sourced directly from the original organizations.
- Explore the
/expert-guidesfolder and select the document most relevant to your goal. - Read it as-is, or annotate it in your own note system.
- Apply one insight from each document to improve your next agent prototype.
You don’t need 100 resources. You need the right ones. These are it.
ai-agents · llm · autonomous-agents · openai · google · anthropic · starter-kit · agent-design · prompt-engineering
This repository organizes publicly available, expert-authored documents.
It is intended for non-commercial, educational use.
All content belongs to its original authors and organizations.