Are you ready for a growth hack that never sleeps?

On October 6 2025, OpenAI unveiled AgentKit, a suite of tools that lets developers build and deploy agents that think and act independently . Before this launch, building a useful AI agent meant juggling fragmented tools, custom connectors and manual evaluation pipelines . AgentKit brings all of that together so a single marketer or small team can design automated workflows, embed them in a website and refine them with data-driven feedback. Home service brands—from plumbers to HVAC pros to landscapers—stand to gain the most because the toolkit is tailor-made for tasks that require quick responses and personalised recommendations.

What is AgentKit and what makes it new?

AgentKit was announced as a collection of first-party building blocks that sit on top of OpenAI’s Responses API. According to the launch note, the kit includes three core components: Agent Builder, Connector Registry, and ChatKit . OpenAI also rolled out new evaluation features like datasets, trace grading, automated prompt optimisation and support for third-party models to measure and improve agent performance . Together these tools make it simple to go from a blank canvas to a working agent that can handle real customer interactions .

• Agent Builder is a visual canvas for composing workflows. You can drag nodes to add instructions, connect tools and insert guardrails . The canvas also supports preview runs and full versioning so you can test new flows and roll back if necessary. Ramp’s team reportedly built a buyer agent in just a few hours using this tool, slashing iteration cycles and getting to production quickly .

• Connector Registry provides a central place for admins to manage how data and tools connect across ChatGPT and the API . At launch it includes prebuilt connectors for Dropbox, Google Drive, SharePoint and Microsoft Teams. This registry will expand to third-party providers, opening the door to scheduling apps and CRMs that home service companies rely on.

• ChatKit is a toolkit for embedding chat-based agents into your product . It handles streaming responses, thread management and UI components so your in-app agent feels native. Canva integrated ChatKit in less than an hour to build a support agent for their developer community .

• Evals and Reinforcement Fine Tuning are the measurement and optimisation layer. Evals let you build datasets to test your agent’s responses, run trace grading to see how the agent performs end to end, and automatically improve prompts based on human annotations . Reinforcement fine tuning allows you to teach the model when to call tools and set custom grading criteria .

How this toolkit helps home service marketers

Home services are built on trust and responsiveness. When a homeowner searches for an electrician or a plumber, the company that replies first often gets the job. AgentKit’s components align perfectly with this need for speed and personalisation:

• Instant booking and information capture: With Agent Builder’s visual flows, you can design a conversation that greets a prospect, asks for their address and problem, checks technician availability and books the job—all without human intervention .

• Seamless integration with existing apps: Connector Registry means your agent can pull pricing from Dropbox, verify service areas in Google Drive, log customer details in a CRM and schedule via a calendar tool . This central hub eliminates the need for custom integration work.

• Personalised chat experiences: ChatKit lets you brand the chat widget to match your company’s colours and tone . It can stream responses so homeowners see the agent “typing” and feel like they’re chatting with a real person. Because it manages conversation threads, customers can return later and pick up where they left off.

• Continuous improvement: Using Evals, you can create datasets of typical customer questions and rate how well the agent answers them. Trace grading pinpoints where the workflow breaks down. Automated prompt optimisation suggests better system messages . Reinforcement fine tuning then helps the agent learn to pick the right tool at the right time .

The secret weapon for explosive growth

Why call this toolkit a secret weapon? Because it gives small and mid-sized home service businesses the kind of automation only enterprise companies could build before. With AgentKit, the difference between a one-person marketing team and a thirty-person team shrinks considerably. Here’s how it can unlock explosive growth:

1. Capture after-hours leads: Agents built with ChatKit never sleep. They can answer questions and book appointments when your office is closed, ensuring you don’t lose late-night website visitors.

2. Upsell and cross-sell effortlessly: By connecting to your customer history via the registry, the agent can recommend additional services like duct cleaning during a furnace tune up, increasing average order value.

3. Slash development time and cost: OpenAI’s own example cites Ramp cutting months of complex orchestration down to a few hours . Instead of building custom scripts, you assemble and iterate visually.

4. Improve service quality: Evals and RFT help you test and refine the agent’s performance, making sure it stays on message and meets your standards . Better interactions lead to higher customer satisfaction and more word-of-mouth referrals.

Getting started

Ready to try AgentKit? Here’s how to begin:

• Sign up for an OpenAI API key and ensure you have access to AgentKit features.

• Outline a single workflow you want to automate, such as booking appointments or answering pricing questions. Start small.

• Use Agent Builder to drag nodes and create the conversation flow. Insert guardrails for sensitive topics like payment details.

• Connect your existing tools via the registry so the agent can fetch real data. If your scheduling app isn’t yet supported, use a generic API connector.

• Embed the chat widget on your website with ChatKit. Customise the colours and fonts to match your brand.

• Test the agent using Evals. Record conversations, grade responses and refine prompts based on feedback.

As you gain confidence, expand the agent’s responsibilities and apply reinforcement fine tuning to improve its decision-making. .

Conclusion

OpenAI’s AgentKit launched less than a week ago, but it’s already poised to change how home service businesses interact with customers. By bringing together visual workflow design, easy integrations, polished chat interfaces and robust evaluation tools, the kit removes many of the barriers to building useful agents . For marketers who are always looking for the next growth hack, this could be the multi-million-dollar opportunity they’ve been waiting for. The sooner you start experimenting, the sooner you’ll know how far your business can scale.