Somebody has to imagine the future
I build AI systems that know your context.
Not chatbots. Personal operating systems.
“AI as capability amplifier, not replacement.
Voice is the natural interface for Software 3.0.
Keyboards were designed for 1.0.”
Equally Developed Nerd
Codes. Dances. Coaches. Writes. Designs interfaces, studies consciousness, practices embodiment. Not one thing — integration.
An AI-managed life infrastructure where agents autonomously handle knowledge, task execution, and decision support — using your data, your memory, your context.
Not another app. The operating system your AI agents run on. Without it, they’re brilliant amnesics. With it, they know who you are and what matters.
Personal OS means better data ownership. Local-first architecture. File-based storage, not cloud lock-in. Your health records, conversation history, and knowledge stay on your hardware — accessible to your agents, invisible to platforms.
When you own the infrastructure, AI works for you — not for whoever trained it.
“80% deterministic scaffolding + 20% AI routing. An older model with solid infrastructure outperforms a frontier model dropped into chaos.”
The paradigm shift: tool-centric to agent-centric. Reactive to proactive. Storage to active memory. Keyboards to omnichannel.
Rise What Matters
8-week integration-focused program for building your Personal OS — an AI infrastructure that unifies your knowledge, health data, communications, and autonomous agents into one queryable, actionable system.
This is not another course about prompting. Salience is a hands-on lab where you build real systems:
Most participants are not developers. Basic computer literacy is all you need — if you can use a text editor and a browser, you’re set.
AI-powered Telegram agent
Claude in your pocket. Research, collect knowledge, recall from your vault, process voice — all from Telegram.
→6-week practical lab · 350+ alumni
Practical AI-assisted development. For PMs, designers, founders. Ship skills you can fork.
→Films · Experimental interfaces
What if AI knew everything? Exploring futures through film. Design fiction meets reality.
→I imagine the future and implement it.
I start from a feeling — a grokking of how life might be when technology really matures — and start living as if it’s already there. I look at where it fails, while focusing on where it excels. I live with new capabilities and imagine what will become possible when millions of people also do.
Imagine you are planning your business. You sit in a quiet room. Details keep coming and you voice them without interruption.
Your agent listens. It doesn’t interrupt. But you can ask it anytime: “What am I missing? Where are my blind spots? What cognitive biases am I falling into?”
When you’re done, it gives you back your thinking — as a presentation, a voice message, a short text, a video. You decide the format.
Before you share your idea publicly, you stress-test it. The agent plays devil’s advocate. It finds the weak points you can’t see because you’re too close.
But it also stress-checks your mind. “Is this actually a crisis, or am I catastrophizing?”
It separates signal from noise when anxiety amplifies everything. Not therapy. Just a reality check from something that doesn’t have skin in the game.
While you sleep, the system works.
Today’s digest: “Measuring AI Ability to Complete Long Tasks” from arXiv, “Claude Code Best Practices” from Medium, “LLMs in Scientific Method” from Nature. Themes extracted from your recent work.
These aren’t concepts. This is the system I use daily.
Building what needs to be built
Philosophy, values, and technology. A community for builders who want their work to have meaningful impact. Home of Salience Lab and Claude Code Lab.
salient.community →Russian-speaking AI community
~150 members across countries and backgrounds — developers, entrepreneurs, designers, artists. Diverse voices shaping how AI is developed and applied. Active since 2024.
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