How To Build AI Agents: Clearly Explained [2026]
Blog post from Voiceflow
AI agents have evolved into sophisticated Generative AI (GenAI) systems that are transforming industries such as healthcare, finance, and retail by automating complex workflows and enhancing customer interactions. These agents leverage large language models (LLMs) to deliver human-like responses and perform various tasks, potentially adding trillions of dollars to global corporate profits annually. Enterprises that integrate AI as a core part of their operations report significant returns on investment, with some achieving over tenfold returns. As AI agents become integral to business infrastructure, decisions around building or buying these systems weigh heavily on total cost of ownership versus strategic differentiation. Platforms like Voiceflow offer a compelling solution for businesses seeking rapid deployment and enterprise-grade features, enabling seamless integration and collaboration across different tech stacks. Voiceflow's platform supports multi-agent systems that improve efficiency in areas such as supply chain management and customer service, positioning businesses to excel in a rapidly evolving AI landscape.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Agents | 16 | 3,616 | 674 | 184 | +28% |
| RAG | 4 | 849 | 194 | 70 | -7% |
| LLM | 3 | 3,836 | 662 | 193 | +2% |
| MCP | 3 | 2,803 | 327 | 131 | -43% |
| Multi-agent systems | 2 | 420 | 101 | 56 | +13% |
| AI Coding Assistant | 1 | 710 | 191 | 84 | +14% |
| Vector Search | 1 | 1,668 | 286 | 111 | +15% |
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