Post by Anupriya Kasumnal

𝐅𝐫𝐨𝐦 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐭𝐨 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬: 𝐖𝐡𝐲 𝐧8𝐧 𝐖𝐨𝐧 𝐟𝐨𝐫 𝐌𝐞 I’ve been experimenting with building AI agents using #Make, #Zapier, and #n8n. All three platforms are powerful and can automate workflows. But when it came to building structured, multi-step AI agents, especially ones that require logic, iteration, and real control, n8n clearly stood out. What made the difference for me? ✅ Flexibility without fighting the platform ✅ Clean visual logic for multi-step reasoning ✅ Native handling of structured outputs ✅ And most importantly - it feels like you’re building systems, not hacks To test the limits, I built something called a “𝐑𝐨𝐚𝐬𝐭 𝐌𝐲 𝐑𝐨𝐚𝐝𝐦𝐚𝐩” agent. Here’s how it works: ➡️ Upload a product roadmap ➡️ The agent asks executive-level clarifying questions ➡️ You respond ➡️ It delivers a sharp, structured critique with risk flags, blind spots, and a readiness score It’s like having a brutally honest executive reviewer on demand who forces clarity, exposes weak assumptions, and upgrades thinking. And building it in n8n felt intuitive compared to my earlier attempts elsewhere.