Building your first AI agent doesn’t have to feel overwhelming. Too many guides make it abstract, but the truth is—it’s all about starting small and staying focused.
In my latest article, I break down a clear 8-step path to go from idea to working AI agent:
1️⃣ Pick a small, clear problem
2️⃣ Choose the right LLM (GPT, Claude, Gemini, LLaMA)
3️⃣ Define the tools & APIs (web scraping, email, calendar)
4️⃣ Build the workflow loop (model → tool → result → model)
5️⃣ Manage memory simply (short-term context, JSON, DBs)
6️⃣ Wrap it in a usable interface (CLI, web dashboard, bot)
7️⃣ Test, break, and iterate
8️⃣ Keep the scope controlled
The goal isn’t to build a “universal agent” right away—it’s to create one well-functioning agent that delivers real value. Once you’ve done it end-to-end, building the next one becomes 10x easier.
🔗 Read the full guide here: https://www.aiogrowth.com/grow....th-strategies/the-ul
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