AI activity appears
A person or tool starts using AI for a concrete task.
Prompt classification
Prompt classification answers a simple question: How are your users using AI? Classify intent before the prompt, upload, or tool action crosses the boundary so teams can review, govern, and act.
3LS helps teams distinguish drafting, coding, research, summarization, data handling, and tool-driven work so AI usage becomes understandable instead of opaque.
A person or tool starts using AI for a concrete task.
3LS categorizes whether the interaction looks like drafting, coding, research, summarization, data handling, or tool use.
Teams can separate routine activity from interactions that need closer review.
Usage patterns become visible enough to govern, coach, and control.
What teams gain
Drafting
Understand when people are using AI to draft, summarize, and restructure information for everyday work.
Coding and research
Distinguish coding, troubleshooting, and research assistance from interactions that start to involve sensitive business material.
Data handling and tool use
Surface when prompts point toward data handling, sharing, or tool-driven behavior so operators know where controls may matter.
From the blog
Articles that show how prompt intent turns into risk: injection, tool steering, and the classification signals teams need before enforcement.

A Gmail integration became an AI takeover path. The 2024 prompt injection wave showed that prompt injection is a system vulnerability, not just a content issue.

When a browser agent can read, decide, and act, every page becomes a potential instruction set. Brave's Perplexity Comet research shows how hidden text triggers cross-site actions and data loss.

MCP tool metadata is now prompt content. If it is untrusted, it can override intent, steer actions, and turn connected tools into data-exfiltration paths.