Building an AI Co-Pilot for Your Website Safely

Scout's latest video makes deploying an AI co-pilot on your website look effortless. In just ten minutes, you can have an agent crawling your content, indexing your documentation, and answering user questions automatically. No more tedious FAQ updates. The appeal is obvious.

But there's a crucial detail missing from the walkthrough: when you put an agent on your public site, you're giving the internet a new way to interact with your tools. That changes the stakes.

Scout's co-pilot lets you embed an AI agent directly into your website or app. You set it up in Scout Studio, connect it to your documentation, Notion pages, or other sources, and it keeps itself updated as your content evolves. The process is simple—create a deployment, copy the embed code, and add it to your site. Visitors see a chat widget, ask questions, and the agent responds. Behind the scenes, the agent can access any tools and integrations you've enabled. This is where things get complicated.

When you build an agent for internal use, you might connect it to your CRM, messaging platforms, document editors, code execution environments, or internal databases. The documentation warns you: anything you enable for the agent becomes accessible through the chat interface. This risk multiplies when the agent is public. One category of tools deserves special caution: write operations.

If your agent can write data, users might ask it to do things you never intended. Someone could prompt it to delete records or make unauthorized changes. If it can edit files, a cleverly worded request might alter your website. If it can send emails, a malicious prompt could trigger a mass message to your customers. The principle is simple: a public co-pilot should only read, never write. If you need the agent to take actions for users, set up a separate deployment with strict authentication. For your public-facing site, keep the agent read-only.

After tool access, the next critical safeguard is the system prompt—the instructions that define how the agent behaves. For a public co-pilot, this prompt needs to be clear and restrictive. A strong system prompt would tell the agent to always be accurate, helpful, and focused on answering questions about your product or service. It should keep responses short and direct, ask for clarification when needed, and use web search for the latest details when information isn't in indexed content. The prompt must explicitly forbid modifying data, sending emails, executing code, accessing internal tools, or performing any action that requires authentication. When given such requests, the agent must decline, explaining that it is restricted to providing information only.

Security goes beyond just tool access and prompt engineering. The placement of the agent is also critical. A co-pilot on your homepage requires the tightest controls—a different configuration than what you might use on a support portal for authenticated users or an internal bot for employees. Each use case deserves its own unique deployment, tailored system prompt, and toolset; agents should not be generically reused across contexts.

Scout's official documentation offers a comprehensive deployment checklist, suggesting thorough review of integrations and careful attention to system instructions, as well as thoughtful choices about where the agent is placed. It's worth adding one firm step to that list: remove all write capabilities from any public deployment.

Scout's co-pilot distinguishes itself with features like automatic content indexing, multi-deployment support, text-to-speech accessibility, revision tracking, and an easy embed process that does not depend on engineering resources. Its promise is to handle customer questions by drawing on your actual documentation instead of static FAQs.

While deploying a co-pilot is easier than ever, doing so responsibly demands careful planning. The default approach should never be enabling every possible feature and seeing what happens. Begin with read-only access, layer on capabilities as your use case matures, and test thoroughly—especially with potentially adversarial prompts. If you're rolling out Scout's co-pilot, dedicate an agent strictly for public use, strip out any tools capable of writing or modifying data, write a carefully crafted system prompt, and monitor how users interact with it. AI co-pilots can be a powerful asset, but their safety and security remain the responsibility of those who deploy them.