Five months back, I started building Visioncast. Drawing inspiration from psychology-related books like "Psychocybernetics" and "What to Say When You Talk to Yourself", I've been fascinated by the power of affirmations and positive self-talk. This fascination was the seed for Visioncast, guiding users through personalized audio exercises including affirmations, meditations, motivational speeches, and visualizations, all tailored to their individual needs.

I'm leveraging GPT-4 and TTS to deliver content that's not just personalized but deeply resonant with the challenges and aspirations of the user. Whether it's bolstering self-esteem or stopping procrastination, the app is aims to support mental and emotional well-being.

Perfecting the user experience has been tricky. Right now I'm copying ChatGPT's suggestion cards to start you out, paired with a customization screen that offers extensive control over the final output. This level of personalization sets Visioncast from app like Calm, Headspace, and Waking Up, which offer no personalization.

In the first version, it took 1m 20s to generate audio. I had to wait for the whole GPT4 response to come in. I've streamlined audio processing and streaming (with lots of fighting with AWS/Django/React Native and Nginx) And now, with the app inching ever closer to what I envisioned as an AI mentor, the validation from our first two paying users has been incredibly affirming.

I'd love to hear your insights/feedback, as I'm still working out UX and some bugs.