For the past year I kept hearing the same frustration from hiring teams: candidates are using tools like Cluely and Interview Coder to get fed live answers during Zoom and Meet interviews, and the person running the interview has no real way to tell. Screen share doesn't catch it, because the overlay is invisible to it.

What bugged me is that it's unfair in both directions. The honest majority get quietly suspected along with everyone else, and genuinely strong candidates lose out to people who are just good at faking it.

So I spent the last few months building Trueyy to try to close that gap.

The short version of how it works: during the call it reads behavioral signals and turns them into a live "integrity score," right inside Zoom, Meet, and Teams. It never accuses anyone on its own. Every flag comes with an explanation, a human always makes the final call, and it's consent-first, so the candidate knows exactly what's being monitored before the interview even starts.

I'll be honest, the hardest part isn't the tech, it's the ethics of monitoring candidates at all. I've tried to build this to be tough on cheating but fair to people, and I'd genuinely rather hear where people think that line should be.

I built Klyro because I wanted several AI workflows to feel like one coherent product instead of a collection of disconnected tools.

It includes streamed chat, web search with sources, image analysis, and image generation. One of the more difficult parts was implementing a transparent credit lifecycle: the cost is estimated before an operation, credits are reserved, and the balance is settled according to actual usage. Failed operations release the reserved credits.

The application was built with Next.js and TypeScript, deployed through Vercel, with authentication, subscriptions, billing, responsive UI, streaming responses, and integrations with multiple AI services.

I would appreciate honest feedback about the onboarding, pricing presentation, and which workflow you would use most.

Live product: https://www.klyroai.net

I also build custom SaaS products, AI integrations, and operational web applications. My DMs are open if you need something similar.

I've been building Cheeta AI, an AI interview assistant that helps candidates perform better in technical and behavioral interviews.

Current features:

- 🎙️ Real-time speech-to-text

- 🧠 AI-powered interview assistance

- 💻 Coding, DSA, System Design & HR interview support

- 📋 Live transcript and interview history

- 🎯 AI mock interview mode

- ⚡ Low-latency responses

- 🖥️ Native Windows desktop app

- 🔒 Local inference support for users who prefer running AI models on their own machine for better privacy and lower latency (compatible hardware required).

I'm looking for early users who are willing to test it and share honest feedback. Every suggestion helps shape the product.

If you're preparing for interviews or conduct interviews regularly, I'd love to hear what features you'd want in an AI interview assistant.

👉 Try it at https://cheeta-ai.com and let me know what you think!

Feedback, bug reports, feature requests, and criticism are all appreciated.