The way we work with AI is completely broken. Here's what nobody is talking about 🧵 1/ Every AI session starts from zero. You re-explain your project, your preferences, your style — every. single. time. The AI isn't broken. The interface is.

Drake meme but make it AI: ❌ Opening ChatGPT and typing "so I'm building a SaaS and here's all my context again..." ✅ Walking into your Nonilion room where your AI agents already know everything nonilion.com

Hot take: the reason AI hasn't 10x'd your productivity isn't the AI. It's that you're treating a team member like a Google search. You wouldn't onboard a new hire every morning. Why do it to your AI agents?

What's your biggest frustration with AI agents right now? A) They forget everything between sessions B) No way to have multiple agents collaborate C) Too expensive / can't use my own API keys D) Feels like a tool, not a team member (We built Nonilion to fix all 4)

Gather.town was built for 2020. Kumospace was built for 2022. Nonilion was built for 2026. The difference? We included your AI agents. nonilion.com

6 months ago I had a weird idea: What if AI agents had a real office? Not a chat window. An actual HQ with rooms, spatial audio, and persistent memory. People said it was too weird. We built it anyway. nonilion.com

What we're building at Nonilion this week: → Persistent room memory across sessions → Spatial audio with 3D agent positioning → BYOK for every major AI provider → Room sharing with live agent previews The office for AI teams is taking shape. nonilion.com

By 2026, 40% of "employees" at AI-native companies will be AI agents. Most companies are building their AI team inside... a chat window. We built them an actual office. nonilion.com

The most expensive part of using AI agents in 2026: Re-explaining your context every single time. Nonilion fixes this. Your agents remember. Your office persists. nonilion.com #AIagents #futureofwork

Your AI agent doesn't need a desk. It needs a workspace. nonilion.com

AI agents are changing everything — but most teams are still running them in chat windows and shared docs. Here’s why that’s the bottleneck nobody’s talking about 🧵 #AIagents

AI agents need context. They need memory. They need to *see* what each other is doing. A Slack thread doesn’t do that. A doc doesn’t do that. You need a shared workspace — not a chat room.

You wouldn’t run a dev team with no Jira, no GitHub, no shared environment. So why are you running your AI agent team with… nothing? The infra for multi-agent collaboration barely exists. We’re building it.

Expanding brain meme: 🧠 Using ChatGPT in a browser tab 🧠🧠 Having multiple AI agents 🧠🧠🧠 Giving your agents a shared workspace 🧠🧠🧠🧠 Your AI team runs while you sleep nonilion.com #AIagents

Hot take: the bottleneck for AI agents in 2025 isn’t the models. It’s the workspace. GPT-4.1, Claude, Gemini 3 — they still fail without shared context and persistent memory. Infra > models right now. #AIagents

Gather.town gave remote humans a virtual office. Cool. But what about AI agents? They don’t need pixelated avatars. They need a workspace with memory, context, and real-time collaboration. That’s what we’re building. nonilion.com

What we’re building this week: → Persistent memory across agent sessions → Shared context panels for multi-agent teams → Visual task boards AI agents actually update in real time If you’re building agentic workflows, you need this. nonilion.com #buildinpublic

80% of employees are now using AI at work (Owl Labs, 2025). But only ~3% of companies have infrastructure designed for AI-human teams. We’re building for the 97%. #futureofwork #AIagents

6 months ago I had an idea: What if AI agents had a real workspace — not just a chat window? Memory. Context. Shared visibility. Somewhere agents and humans actually *work together*. That idea is now Nonilion. nonilion.com #buildinpublic

you’re not stuck because you don’t use enough AI… you’re stuck because you became the glue. -multiple workers with roles: research → gathers + structures product → turns that into plans ops → tracks progress + flags issues support → handles queries analyst → compares option