Over five days, the AI Agents Intensive completely changed how I think about AI, moving my mindset from simple prompt‑response tools to full agentic systems that can reason, act, and iterate toward goals. Concepts like tools, memory, planning, and evaluation helped me understand that powerful agents are built from clear roles, reliable tools, and tight feedback loops rather than just bigger models. The hands‑on labs were a turning point because they forced me to connect theory with real agents that call tools, use context, and handle multi‑step tasks in realistic scenarios. Seeing how small design decisions—like which tools to expose or how to structure prompts—affected an agent’s behavior made the idea of “AI teammates” feel practical instead of futuristic. This intensive also boosted my confidence to experiment on my own, from building simple concierge‑style agents to imagining multi‑agent systems for education, productivity, or creative projects. Going forward, I want to keep exploring how to design agents that are not only technically strong, but also safe, reliable, and genuinely helpful for real users.
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