I ve been spending a lot of time on Discord and Reddit helping people who are trying to add AI chat to their no/low-code apps.
What keeps coming up is that the setup is way more fragile than it looks.
It s usually not the model itself it s everything around it: conversation state, memory, retries, edge cases. Vibe-coding works for demos, but once people try to ship something real, things start breaking.
Phinite.ai - We're in beta but already helping teams automate their AI agent deployments.
What it does day-to-day:
Takes the DevOps hell out of running AI agents in production. Instead of manually monitoring agents, debugging silent failures, and scrambling when things break at 3am, it handles:
We just wrapped the Orbit Awards for AI Dictation and now we re moving to the next category: AI Automation.
This one is for the tools that actually do work for you clearing chores, running workflows in the background, or quietly taking over a chunk of your week without turning into another dashboard you have to babysit.
We're solving why 95% of enterprise AI pilots fail before production turning fragmented infrastructure and compliance nightmares into production-ready systems that scale. Building multi-agent systems for Enterprise. The developer-first orchestration platform.
