Hey everyone! I m shengwei lai, the product manager at VisionStory, an AI video platform where you can bring any character photo to life and make it talk.
We re excited to announce an upcoming feature:
Turn your PowerPoint presentations into interactive talking videos perfect for teaching, pitching, or just making your slides way more engaging.
I saw an article on TechCrunch discussing Cluely (created by Chungin Roy Lee and Neel Shanmugam).
TL;DR: The AI tool, originally developed to cheat on software engineering interviews, now helps users cheat on exams, sales calls, and job interviews through a hidden in-browser window. And now has raised $5+ million.
I ran a small restaurant for 7 years and even though I had ton of data - from Square POS, online reviews, social media and so many other places, including from customers directly, I just couldnt figure out how to use it to grow the business using that data. Eg we would improve the user experience based on feedback, but being able to predict busy days, or fill the restaurants on slow days, was always challenging and couldnt figure out how to use that data.
How do you use data from your small business to grow and expand? What tools do you use to leverage your data?
I've been reflecting on the surge of AI tools ChatGPT, Notion AI, GitHub Copilot, and countless others. They're marketed as productivity enhancers, yet I find myself juggling more tasks than ever.
These tools generate content, code, and ideas at lightning speed. But with this efficiency comes an influx of drafts to review, emails to send, and decisions to make. It's as if the workload has multiplied, not diminished.
I'm curious:
Are these AI tools genuinely making us more productive, or are they just adding to our to-do lists?
How do you manage the balance between leveraging AI and maintaining quality over quantity?
Have you experienced a shift in your workflow since integrating AI tools?
We are dedicated to realizing a vision where everyone can express their beautiful stories through visualized video content, using large language models and text-to-video generation models.