Post by AI For Professionals

How to Build an AI Agent 𝗕𝗲𝗰𝗼𝗺𝗲 𝗯𝗲𝘁𝘁𝗲𝗿 𝗮𝘁 𝗔𝗜 𝗶𝗻 𝗷𝘂𝘀𝘁 𝟭 𝗺𝗶𝗻𝘂𝘁𝗲 𝗮 𝗱𝗮𝘆. 𝗚𝗲𝘁 𝘁𝗵𝗲 𝗔𝗜 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿 𝘀𝗺𝗮𝗿𝘁 𝗹𝗲𝗮𝗱𝗲𝗿𝘀 𝗿𝗲𝗮𝗱. 𝗦𝗶𝗴𝗻 𝘂𝗽 𝗳𝗿𝗲𝗲 𝗻𝗼𝘄 → aiforleaders.com Original post: __________ AI agents are 5% model, 95% engineering glue. You’re engineering workflows, control layers, routing logic, and observability around something that happens to “think.” In real-world use, the hardest part often isn’t the AI - it’s building the infrastructure that lets the AI actually do something useful. The real value shows up when agents can plug into your stack and act. Answer questions, trigger workflows, update records, follow up - without needing a team of engineers behind the scenes. ElevenLabs Agents is a great example to this direction: A production-ready platform for voice + text agents that actually run end-to-end workflows. It gives you: ▪️Real-time speech with fluid interruptions (“mm-hmm”, “go on”, etc.) ▪️Tool and API integration - out of the box or with custom logic ▪️Built-in evals, guardrails, and observability ▪️Multi-channel deployment (chat, phone, web) And most importantly, business-level control Support tickets, order changes, lead qualification, post-purchase follow-up - you don’t need to build it from scratch anymore. Credits to Alex Wang. Follow her for more.