The last few weeks have been full of work. Between reading about ClawBot and the new "AI breakthrough", my brain is overwhelmed, but it is time to refocus and continue the hard work on our apps.
I m mapping out a batch of agentic AI use cases to supercharge offline customer experience - think stores, salons, cafes. Going beyond knowledge assistants and Q&A chatbot..
Some ideas we re exploring:
A restaurant table agent that handles specials, FAQs, and feedback.
An in-store guide that helps retail customers find products and get personalised recos.
A bookstore assistant who reads your past orders and mood to suggest what s next.
One of the coolest parts of my job is getting a front-row seat to how @marianaprazeres thinks about AI. Memory feels table stakes in AI right now. But for @Meet-Ting, it s not just a log of the past - it s a living system that shapes how people schedule, work, and want to spend their week. It s not just logistics - it s patterns around energy, priorities, and relationships over time.
Here are a few things we learned while designing and testing agent memory in production:
Hi Product Hunt, I m Mishall Rashid Web Developer | SMM | Content | Outreach Specialist
Websites. Words. Reach. Results. I help SaaS teams build credibility and grow their digital presence through clean, user-friendly websites, strategic content, social media marketing, and targeted outreach. With 2+ years of hands-on experience, I focus on what actually moves the needle trust, visibility, strong reviews, and real growth. Always learning, always improving, always building impact.
I m Soumyo, a fitness enthusiast and solo builder behind ActForge Workout. - Mobile App.
The idea came from a problem I faced myself most workout apps look polished but rely heavily on fixed templates or generic routines. As someone who trains regularly, I always felt the logic behind programming (splits, recovery, frequency, progression) was missing.
