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 that work with any language model. The Superagent SDK sits at the boundary of your agent and inspects inputs, outputs, and tool calls before they execute.
For [this specific use case], Superagent's [Guard/Redact] model [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.