Your AI Agent is a Ticking Bomb
We're moving from chatbots to autonomous agents, but they're incredibly fragile. Here's the developer-first tool to fix them before they cause a six-figure mistake.
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⚡ The Signal
The ground is shifting under our feet. We've moved from text-in, text-out chatbots to something far more powerful: autonomous agents. When a company like Anthropic starts embedding workplace tools like Slack, Figma, and Asana directly into Claude, it's not just a feature update. It's a signal that AI is no longer just a conversationalist; it's becoming a command center meant to take action on our behalf.
🚧 The Problem
These new agents are powerful, but they are also incredibly fragile. They are being built to operate in messy, real-world environments, connecting to dozens of APIs and data sources. What happens when your AI sales agent receives a malformed contact record from Salesforce? Or when a pricing-bot gets a webhook with a negative dollar amount? It breaks, fails silently, or worse—takes a catastrophically wrong action. Many teams think the answer is better prompts, but that's like fixing a cracked foundation with a new coat of paint. The real problem is that the era of agentic AI demands a data constitution, not just clever prompting.
🚀 The Solution
Enter Topiary. It’s not another observability tool for figuring out what went wrong. It's a developer-first API that prevents things from going wrong in the first place. Topiary allows you to define a "data constitution"—a set of immutable rules for your agent. It’s a proactive gatekeeper that validates, sanitizes, and blocks bad data before it ever reaches your agent’s logic, making your autonomous systems dramatically more reliable in production.
