Inside [FEAT]: Real-Time Severity Keyword Flagging

Right now, AI doesn’t just read transcripts - it’s learning to react. When it spots keywords like ‘gun,’ ‘heart attack,’ or ‘trapped,’ it doesn’t just note them - it triggers a warning, turning response time into seconds. This shift isn’t just tech; it’s a new kind of emergency protocol.

FireForm’s new feature scans transcripts in real time, flagging urgent content before it’s even processed. Here’s how it works:

• A predefined list of high-severity terms is scanned instantly.
• Any match instantly tags the output as HIGH severity in the JSON.
• The final report gets a prominent label - like [URGENT] - so no form slips through.

Psychologically, this taps into our primal need for rapid threat detection. Think of emergency dispatchers: they don’t debate - just act. By mimicking that instinct, FireForm turns passive documentation into active safety.

But here’s the elephant in the room: keyword filtering isn’t foolproof. Context matters. The word ‘gun’ in a medical training drill shouldn’t trigger alert. That’s why this tool flags only the most dangerous terms - avoiding false alarms without slowing workflows.

Controversy aside, this flagging system changes the game. It’s not about overreacting; it’s about precision. Always ask: does the system protect lives, or just spook users?

In the end, real-time severity tagging is quiet but powerful. It asks: when speed meets safety, what kind of alert do we really need?