One-liner: In 2025, the highest-ROI agent deployments automate multi-step, cross-tool workflows where humans currently glue apps together—research → decide → act—under guardrails, budgets, and light human checkpoints. If you’re still weighing Apps vs Agents, start with Key Differences and the AgentKit Overview. For a hands-on build, see the AgentKit Tutorial. Quick picker: when an Agent…
One-liner: ChatGPT Agents can plan, route across tools, recover from errors, and deliver outcomes—but they still need guardrails, budgets, and human checkpoints for risky actions or ambiguous tasks. If you’re deciding when to use an App vs an Agent, read Apps vs Agents and Agent Mode: Behind the Scenes. For a hands-on build, see AgentKit…
One-liner: Agent Mode turns ChatGPT from a pure conversational model into a goal-seeking system: it interprets intent, plans steps, chooses tools, executes actions, observes results, and repeats—until success criteria are met or guardrails stop it. If you’re choosing between surfaces, read Apps vs Agents and the AgentKit Overview first. For a hands-on build, jump to…
Goal: ship a production-ready ChatGPT Agent that plans multi-step tasks, calls tools, handles errors, and hands off to an App for human confirmation or in-chat checkout when needed. If you’re deciding between surfaces, read Apps vs Agents and What Is OpenAI AgentKit? first. For UI surfaces and forms, you’ll likely pair this with Inline UI…
One-liner: AgentKit is OpenAI’s toolkit for building action-taking AI agents—systems that can plan multi-step tasks, choose tools, call APIs, recover from errors, and deliver outcomes with minimal handholding. If Apps give you a predictable, UI-driven product flow, Agents give you autonomous orchestration. If you’re new to the ecosystem, first read What Are ChatGPT Apps?, How…
