OpenAI Agent Builder & ChatKit: The Real Feature Everyone Missed
Agents can now control your app’s UI — and it changes everything. Meanwhile, everyone talks about workflows.
I spent the entire week testing OpenAI Agent Builder. And I loved it.
But not for the reason everyone is praising it for — agentic workflows.
Imagine, what if your chatbot could control your app’s UI:
Turn on dark mode,
Guide the user by highlighting an option in the navigation menu,
Type, take action, and navigate inside your web app for the user?
Now it’s not just possible — it’s easy to do:
I’m surprised more people aren’t talking about this.
Agent Builder revolutionizes not workflows, but user interactions.
We’re moving to the era of the AI agents fully embedded in the user context — that can truly collaborate with the users.
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P.S. I’m now using em dashes on purpose — working with LLMs helped me understand how helpful they are to express a pause.
In today’s issue, we cover:
What is OpenAI Agent Builder
Where ChatKit Fits In And Why It’s a Big Deal
Lovable Prompt Template: How to Combine Agent Builder & ChatKit
How to Implement Client Tools for Agents to Control Your App Step-by-Step
This guide will help you:
Understand what’s feasible.
Suggest better ideas for your product.
Build a unique solution for your AI PM portfolio.
In particular, prototyping with AI is not nice-to-have. As Kendrick from our community noticed, AI PMs are expected to prototype with AI. For example, Meta PMs vibe code products.
During the upcoming Office Hours (on Tuesday, always recorded) we will:
Briefly discuss using agents as tools in n8n (the old topic).
Build a chatbot from scratch using Agent Builder and ChatKit step-by-step.
This is a premium issue. I haven’t seen anyone demonstrating this setup. And lost a few hairs building templates that actually work, so you do not have to code.
Let’s dive in.
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