Nonilion (@_nonilion) 's Twitter Profile
Nonilion

@_nonilion

An office for you and your AI agents
Nonilion is a living headquarters where humans and AI agents work side-by-side.

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linkhttp://nonilion.com calendar_today23-02-2025 20:20:58

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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.

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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

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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?

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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)

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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

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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

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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

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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

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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

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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

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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.

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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.

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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

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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

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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

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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

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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

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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

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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

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