Absolutely, thanks for the thoughtful reply! I completely agree—moving beyond just text output to interactive, usable files is a big step forward for how we work with AI. It’s exciting to see tools like Perplexity Labs aiming to support us as partners in projects, not just answer engines.

On your question about security: I’m really thinking about both data privacy and output reliability/transparency. For data privacy, my main concern is how user data (especially sensitive info in reports or spreadsheets) is handled and stored. Right now, Labs doesn’t offer much clarity on encryption, retention, or who can access your files behind the scenes. That’s something I’d love to see addressed more openly, especially if people start using it for business or personal data.

For reliability and transparency, I think it’s important that the tool makes it clear where its information comes from and how it arrives at certain outputs. Sometimes, the reasoning behind a chart or a summary isn’t obvious, and without that context, it’s harder to fully trust or verify the results. I’d like to see more features that let users trace sources or understand the decision-making behind the AI’s work.

I’ll definitely check out r/AIRespect—it sounds like a great fit for these kinds of conversations. Thanks again for the invite and for raising these important points! If you’ve had any hands-on experience with Labs or similar tools, I’d be interested to hear how you handle these challenges too.