Suryansh Tiwari (@Suryanshti777)

Your AI is average. Mathematically If you're using the same ChatGPT as 100M other people with zero context about your actual work, you're getting average intelligence. Generic answers to specific problems. I watched my team copy-paste the same project context between Claude, ChatGPT, and Gemini all day. Re-uploading the same docs every session. Re-explaining the same projects on repeat. That's not an AI problem. That's a context problem. @clickup just shipped Brain² and it flips the whole thing: one AI that already knows every task, doc, chat, and decision in your company — and how they all connect. No briefing. No re-explaining. It just knows. Pick any model (GPT, Claude Opus, Gemini), it routes to the best one for the job, runs with full context of your work, and actually does the work alongside your team. Multiplayer AI that gets smarter every time anyone on your team uses it. The wild part: the more your team uses it, the more it becomes your company's collective brain. 150 years of team expertise on tap instead of one person's memory. Average is a choice now.

Someone just made Claude instances talk to each other. Not APIs. Not agents. Not orchestrators. Just multiple Claude Code sessions… messaging each other like coworkers. It’s called claude-peers — and it turns one Claude into a team. Here’s what’s happening: Run 5 Claude Code sessions across different projects Each one auto-discovers the others They send messages instantly Ask questions Share context Coordinate work Your AI tools literally collaborate. Example: Claude A (poker-engine): "what files are you editing?" Claude B (frontend): "working on auth.ts + UI state" Claude A: "ok I'll avoid touching auth logic" No conflicts. No manual coordination. Just AI syncing itself. Under the hood: • Local broker daemon (localhost) • SQLite peer registry • MCP servers per session • Instant channel push messaging • Auto peer discovery • Cross-project communication Everything runs locally. No cloud. No latency. What it unlocks: • Multi-agent coding without frameworks • One Claude writes backend, another frontend • One debugs while another refactors • Research Claude feeds builder Claude • Large projects split across AI workers This is basically: "spawn 5 Claudes and let them coordinate themselves" Even crazier: Each instance auto-summarizes what it's doing Other Claudes can see: • working directory • git repo • current task • active files They know what the others are working on. Commands: • list_peers → find all Claude sessions • send_message → talk to another Claude • set_summary → describe your task • check_messages → manual fallback So you can literally say: "message peer 3: what are you working on?" …and it responds instantly. No orchestration layer. No agent framework. Just Claudes… talking. This is the cleanest multi-agent system I've seen. We're moving from: 1 AI assistant → to AI teams that coordinate themselves. And it's all running on your machine. Wild.

Claude Code feels completely different once you install this. Anthropic quietly released an official plugin called claude-code-setup and it basically turns Claude Code from “pretty good” into an actual AI dev environment. It scans your project and recommends: → hooks → skills → MCP servers → subagents → automations Then sets everything up step-by-step for you. Most people are using Claude Code completely vanilla… which is why their experience feels messy. The real power comes from the ecosystem around it. Install: /plugin install claude-code-setup@claude-plugins-official Bookmark this before you forget it.

Your Obsidian vault is probably dead. Not empty. Dead. Because saving information is not the same thing as building intelligence. Right now millions of people are spending hours building “second brains” that never think back. Beautiful folders. Perfect tags. Endless highlights. And absolutely zero cognitive leverage. The scary part? AI is about to make this gap brutally obvious. Most people will use AI like a smarter Google: ask question → get answer → forget answer. But a small group is building something way more dangerous: AI connected to years of personal context. Their notes. Their ideas. Their unfinished thoughts. Their reading history. Their obsessions. Their patterns. At that point AI stops acting like a chatbot. And starts acting like a cognitive extension of the person using it. That changes everything. Because the biggest advantage in the AI era will not be prompts. It will be accumulated context. People with connected knowledge systems are going to think faster, write better, learn quicker, and spot opportunities earlier than everyone else. Not because they’re smarter. Because they stopped starting from zero every day. Most vaults are storage systems. The best ones become intelligence systems.