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                 <p><strong><em>Hey Buddy!</em></strong> is a library for training wake word models (a.k.a audio keyword spotters) and deploying them to the browser for real-time use on CPU or GPU.</p>
-                <p>Using a wake-word as a gating mechanism for voice-enabled web applications carries numerous benefits, including reduced power consumption, improved privacy, and enhanced performance in noisy environments over speech-to-text systems.</p>
-                <p>This space serves as a demonstration of the JavaScript library for front-end applications. Say something like, <em>&ldquo;Hey buddy, how are you?&rdquo;</em> to see the wake word and voice activity detection in action. Your voice command will be isolated as an audio clip, which is then ready to be sent to your application's backend for further processing.</p>
+                <p>Using a wake-word as a gating mechanism for voice-enabled web applications carries benefits like reduced power consumption, reduced redundant computation, and enhanced privacy.</p>
+                <p>This space serves as a demonstration of the JavaScript library for front-end applications. Say something like, <em>&ldquo;Hey buddy, how are you?&rdquo;</em> to see the wke word and voice activity detection in action. Your voice command will be isolated as an audio clip, ready to be sent to your application's backend.</p>
+                <p><em>This is in alpha, and misidentifications may occur.</em> If you find it to be consistently incorrect for your microphone or voice, I encourage you to open a discussion on <a href="https://huggingface.co/benjamin-paine/hey-buddy" target="_blank">the HuggingFace repository.</a></p>
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                 <a href="https://github.com/painebenjamin/hey-buddy" target="_blank">