OpenAI just launched AgentKit, a complete toolkit for building AI agents without code. It includes a visual workflow builder, ready-to-deploy chat interfaces, and built-in optimization tools.
We'll compare AgentKit to Zapier and n8n so you can see the trade-offs. You'll walk away knowing what these new tools do well, where they struggle, and whether they belong in your automation stack.
What You'll Learn:
- Understand AgentKit's three-part system: Build, Deploy, and Optimize.
A tour of Agent Builder's visual workflow canvas differs from traditional automation tools, what deployment options exist with ChatKit and the Agents SDK, and why OpenAI's built-in eval tools matter. - Compare Agent Builder to existing workflow platforms like Zapier and n8n.
Learn the core trade-offs: model-based pricing vs. connector limitations, cloud-only hosting vs. self-hosting options, and when Agent Builder's holistic approach might make sense. - Explore practical agent-worthy use cases.
See working examples of connecting models, tools, and knowledge, including how vector stores provide a middle ground between Custom GPT limits and complex database setups.
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