Your use case title here
A 1-2 sentence summary of the problem and how guardrails solve it.
What's at stake
- Bullet point explaining a specific risk or consequence
- Another risk - be specific and concrete
- Business impact: procurement reviews, compliance requirements, etc.
- Technical risk: data breaches, unauthorized access, etc.
How to solve this
Explain the general approach to solving this problem (2-3 paragraphs).
Describe what needs to happen technically - scanning, validation, filtering, etc.
Explain why timing matters (real-time vs. after-the-fact) and where the check needs to happen in the agent's flow.
How Superagent prevents this
Superagent provides guardrails for AI agents—small language models purpose-trained to detect and prevent failures in real time. These models sit at the boundary of your agent and inspect inputs, outputs, and tool calls before they execute.
For [this specific use case], Superagent's [Guard/Redact/Verify] guardrail [specific action]. It [specific capability] using [method]—then [outcome] before [bad thing happens].
[Additional paragraph about specific features, patterns detected, or integration details.]
Integration is simple: [brief integration description]. No changes to your agent's logic required.