PromptSpeak FAQs

Question 1

What is PromptSpeak's primary function?

Accepted Answer

PromptSpeak enforces pre-execution governance for AI agents, blocking dangerous tool calls (like file writes or API requests) *before* they can execute, mitigating risks from prompt injections or hallucinations.

Question 2

How does PromptSpeak ensure agent safety and compliance?

Accepted Answer

It employs an 8-stage pre-execution validation pipeline, human-in-the-loop approval for high-risk operations, and real-time behavioral drift detection, all with sub-millisecond latency. This ensures agents operate within defined policies and regulatory constraints.

Question 3

Can PromptSpeak detect if an AI agent is behaving unusually?

Accepted Answer

Yes, PromptSpeak includes robust behavioral drift detection capabilities. It can identify when an agent is gradually shifting away from its assigned task and can even halt the agent to prevent undesirable actions.

Question 4

Does PromptSpeak provide an audit trail of agent actions?

Accepted Answer

Absolutely. PromptSpeak maintains a comprehensive audit trail of every tool call an agent attempted, whether it was allowed or blocked. This is crucial for transparency, debugging, and regulatory compliance.

Question 5

What kind of tools or integrations does PromptSpeak support?

Accepted Answer

PromptSpeak acts as an MCP server, intercepting standard Model Context Protocol (MCP) tool calls. It's designed to work with AI agents that use function calling or tool use, including quick integration with platforms like Claude Desktop/Code.

PromptSpeak

PromptSpeak

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