ネイティブの英文で英語表現を覚えよう！010　AIエージェント初心者コース

ネイティブが書いた英文を読むのが一番英語の上達に良いです！英語学習者向けに作られている本や動画では、ネイティブらしい表現を学ぶのに不十分です！「ネイティブの英軍で英語表現を覚えよう」はシリーズ化し、1000記事はまとめたいと思うので、これだけ読んでおけば日常英会話であれば上級者に慣れます！一緒に頑張りましょう！

単語リスト

キーワード	発音記号 (IPA)	意味
a SaaS dev	/ə sæs dev/	SaaS（Software as a Service）の開発者
Despite what some tech bros claim	/dɪˈspaɪt wɒt sʌm tek broʊz kleɪm/	一部のテック系兄ちゃんたちが主張することにもかかわらず
protocols	/ˈproʊtəkɒlz/	（通信・手続きなどの）規約、手順、プロトコル
Anthropic’s “USB port”	/ænˈθrɒpɪks ˈjuːˌesˈbiː pɔːrt/	Anthropic（AI企業）の（機能や接続性の比喩としての）「USBポート」
integration	/ˌɪntɪˈɡreɪʃən/	統合、連携
prep	/prep/	準備、下準備（preparation の略）
routine tickets	/ruːˈtiːn ˈtɪkɪts/	定型的な問い合わせ対応
Happy to point you in the right direction	/ˈhæpi tuː pɔɪnt juː ɪn ðə raɪt dəˈrekʃən/	正しい方向へお教えできて嬉しいです
blew up	/bluː ʌp/	爆発した、大騒ぎになった、急増した

AI Agents Crash Course: What You Need to Know in 2025

Hey Reddit! I’m a SaaS dev who builds AI agents and SaaS applications for clients, and I’ve noticed tons of beginners asking how to get started. I’ve learned a ton in this space and want to share the essentials without the BS.

You’re NOT too late to the party

Despite what some tech bros claim, we’re still in the early days of AI agents. It’s like getting into web dev when browsers started supporting HTML5 – perfect timing.

The absolute basics you need to understand:

LLMs = the brains that power agents Prompts= instructions that tell agents how to behave Tools = external systems agents can use (APIs, databases, etc.) Memory = how agents remember conversations

The two game-changing protocols in 2025:

Model Context Protocol (MCP) – Anthropic’s “USB port” for connecting agents to tools and data without custom code for every integration
Agent-to-Agent (A2A) – Google’s brand new protocol that lets agents talk to each other using standardized “Agent Cards”

Together, these make agent systems WAY more powerful than the isolated chatbots of last year.

Best tools for beginners:

No coding required: GPTs (for simple assistants) and n8n (for workflows) Some Python: CrewAI (for agent teams) and Streamlit (for simple UIs) More advanced: Implement MCP and A2A protocols (trust me, worth learning)

The 30-day plan to get started:

Week 1: Learn the basics through free Hugging Face courses
Week 2: Build a simple agent with GPTs or n8n
Week 3: Try a Python framework like CrewAI
Week 4: Add a simple UI with Streamlit

Real talk from my client work:

The agents that deliver the most value aren’t trying to be ChatGPT. They’re focused on specific tasks like:

Research assistants that prep info before meetings
Support agents that handle routine tickets
Knowledge agents that make company docs searchable

You don’t need to be a coding genius

I’ve seen marketing folks with zero programming background build useful agents with no-code tools. You absolutely can learn this stuff.

The key is to start small, build something useful (even if simple), and keep learning by doing.

What kind of agent are you thinking about building? Happy to point you in the right direction!

Edit: Damn this post blew up! Since I am getting a lot of DMs asking if I can help build their project, so Yes I can help build your project. Just message me with your requirements.

出典元

https://www.reddit.com/r/AI_Agents/comments/1k3ojti/ai_agents_crash_course_what_you_need_to_know_in/