When we first launched, if the AI generated a weird glitch in shot 12 of your 2-minute film, your only option was a basic "reprocess scene" button. You'd re-roll the prompt with new user direction and cross your fingers, hoping it wouldn't ruin the continuity.
Creators told us loud and clear: stop giving us black boxes. Give us control.
So we tore down our backend and built a real, granular video editor designed specifically for AI workflows. Here is what we just shipped:
Hey everyone! I wanted to share something I ve been building and get some early feedback from this amazing community. As enterprise AI and LLM adoption scales, I noticed a huge bottleneck: adding robust security layers almost always introduces crippling latency. For autonomous agents and real-time AI, that s a dealbreaker. So, I built Aegisora a zero-latency runtime security proxy designed specifically for AI systems. It provides real-time threat detection and governance without slowing down performance. We are officially open-sourcing the core architecture on GitHub on August 21st. Before the launch, I d love to hear your thoughts: ---> What are the biggest security bottlenecks or latency issues you face when deploying AI models? ---> How are you currently managing runtime security for your agents? Let me know in the comments! If anyone wants to take an early look at the repo, just say the word and I ll share the link. Thanks!
Most people either manage documents through clunky desktop systems or dump everything into random folders nothing built specifically for how we actually handle documents day to day, from our phones.
Before building Zolyp, we tested AI-generated social posts for several different types of businesses.
The surprising part wasn't that AI could write decent captions. It could.
The bigger problem was consistency.
The posts often sounded fine individually, but after generating dozens of them, the brand started losing its personality. The tone changed, ideas repeated, and the content stopped feeling like it came from the same business.
Created PropertySheet.co.uk a platform offering detailed property insights and reports for properties in the UK. These reports include data such as guide prices, rental income estimates, area demographics, crime rates, school information, and other relevant metrics to assist buyers, investors, and renters in making informed decisions. The platform is designed to serve: Homebuyers: Seeking comprehensive information about potential properties. Property Investors: Looking for data-driven insights to inform investment decisions. Renters: Interested in understanding area demographics and rental estimates. Real Estate Professionals: Agents and brokers who require detailed property reports for clients.
I m building AletheionAGI, a grounding enforcement layer for AI agents and RAG systems.
The goal is simple: let AI use memory and retrieval, but do not allow unsupported or unauthorized claims to pass through.
Aletheion sits between retrieval/evidence and the final answer and checks whether the available evidence actually supports the claims being produced. If support is insufficient, it can fail closed.
I recently ran the same frozen black-box protocol against:
