An AI assistant responds to your prompts (reactive help). An AI agent can plan and take actions toward a goal with less step-by-step input (more autonomous). In practice, the difference in AI agent vs AI assistant is mostly degree of […]
An AI assistant responds to your prompts (reactive help). An AI agent can plan and take actions toward a goal with less step-by-step input (more autonomous). In practice, the difference in AI agent vs AI assistant is mostly degree of […]
An AI chatbot is usually a chat interface that answers questions (often in one channel). Conversational AI is a broader approach that uses NLP/ML to handle multi-turn, context-aware conversations across channels (chat, voice, apps), often with analytics, integrations, and safety […]
AI chatbots are best for high-volume, repetitive questions where speed and cost matter. Live chat is best for complex, emotional, or high-stakes issues that need human judgment. Most teams get the best results from a hybrid setup: chatbot-first with fast […]
Use an AI agent when most questions are repetitive and speed/coverage matter. Use live chat when issues are high-risk, emotionally charged, or exception-heavy. A hybrid model (AI first, human escalation) is often the safest default when you have both volume […]
Author: Alden Do Rosario Founder of: Custom GPT.ai Last updated: Let me be upfront: I’m the CEO of a company that sells custom AI agent infrastructure built on client’s data. That gives me a bias. It also gives me a […]
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AI agents are quickly becoming a core part of how businesses automate tasks, serve customers, and scale operations. With OpenAI’s release of AgentKit, teams now have access to powerful tools for building intelligent, agentic workflows — if they’re ready to […]