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Gleb Kalinin

Somebody has to imagine the future

I use science fiction, speculative design and vibe-coding to imagine, build and live the daily reality of co-creating with thinking machines.

“AI as capability amplifier, not replacement. It’s an accelerant for human creativity that keeps getting better. As a polymath and multipotentialite, I now have enough of a productivity boost to skip traditional funding and build whatever I think the world needs—bootstrapped or on very focused capital.”
TEDx speaker · Global Shapers alumnus (WEF) · Building since 2001

Equally Developed Nerd

Codes. Dances. Coaches. Writes. Designs interfaces, studies consciousness, practices embodiment. Not one thing—all of it at once.

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Speculative Design

imagining the future

I start from a feeling — a grokking of how life might be when technology matures. I go on to live as if it’s already here.

I build working prototypes of future interfaces, not concept renders. Childhood sci-fi never left; it just changed medium. The method: imagine it, build it, live with it, watch where it breaks and where it sings.

Prototype the future Working implementations over concept renders. If you can’t use it daily, it’s not real yet.
Live with it Use it every day. Notice the friction. The real question isn’t “what can this AI do?” but “what happens when a person and an AI live together for months?”
Digital body, not second brain Memory + tools + action capability + sensory systems. An organism, not a tool.
possible plausible probable preferable NOW time I build here Futures Cone — Dunne & Raby, Voros
01
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The Thinking Room

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.

Output: presentation · voice memo · text · video

The Implementation

audio-monitor — continuous audio monitoring with VAD + Whisper transcription + SQLite FTS5 search.

Couple it with intent detection or comment extraction and you get a predictive, always-on AI that actually pays attention — for your own benefit.

Stack: VAD · Whisper · SQLite FTS5
02
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The Second Opinion

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 turns everything loud. Not therapy. Just a reality check from something with no skin in the game.

Mode: devil’s advocate · anxiety filter · reality check

The Implementation

Decision Toolkit — structured decision-making tools with bias checkers, pre-mortem analysis, and scenario explorers. 7 frameworks, 20+ cognitive biases detected.

Guide, don’t decide. These tools light up the decision space — they don’t choose for you.

Frameworks: pre-mortem · first principles · 10-10-10 · regret minimization
03
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The Night Shift

While you sleep, the system daydreams.

22:00 · Day Captured
Vault committed · 12 notes modified
Chrome history synced · 47 pages indexed
3 conversations archived
Ready for overnight processing. 4 research threads queued.
Resting HR 55 bpm ↓3%
HRV 45.6 ms ↓8%
Steps/day 6,477 ↓27%
Exercise 163 min ↓40%
HRV 7d

HRV below 50 ms — incomplete recovery. Prioritize sleep, add a walk.

Scanning arXiv, HN, Reddit, RSS…
Following your interests — and adjacent ones.
arXiv: “Measuring AI Ability to Complete Long Tasks” matches your Feb 12 note
HN: “Why I Stopped Building Second Brains” counterpoint to Personal OS
View a real research report →
10 relevant + 10 serendipitous finds.
RSS: “Oblique Strategies as API”
no direct match — but your vault mentions Eno 14 times
The second list is the one that matters.
Sources: arXiv · HN · Reddit · RSS · vault

The Implementations

Verity Telegram bot with research skills Vault Daydream Multi-agent vault mining for unexpected connections Deep Research OpenAI Deep Research API Session Analyzer Behavioral pattern classification

These aren’t concepts. This is the system I use daily.

My Products

what I build

Compassionate Co-Learning

how I teach

The hard part of working with AI isn’t technical. It’s letting go of what you thought you couldn’t do.

I’m trained in acceptance and commitment therapy, and I’ve spent years as a coach and mindfulness mentor. The pattern is always the same: people don’t resist change because they lack skill. They resist because real change means sitting with discomfort — and our instinct is to dodge it, not walk through it.

I watch it happen every cohort. Week one: “I can’t code.” Week four: they’re shipping working products. This isn’t stacking new skills on old assumptions. The assumptions themselves shift.

Fear & barrier “What scared me seemed like an obstacle”
Possibility “With this tool, it became possible not to be afraid”
Paradigm shift “My entire perception has shifted”
No boundaries “There’s simply nothing that can’t be done”

Psychological flexibility — ACT’s core idea — turns out to be exactly what the agentic future demands. Notice what’s happening without getting stuck in it. Accept uncertainty instead of grasping for control. Act on your values even when you’re unsure. The same moves that make a life work make working with autonomous systems possible.

Lab principles

  • Culture of error — mistakes are data, not failures. A broken prototype teaches what a working one can’t.
  • Complexity, not chaos — growth happens at the edge. Too easy = stagnation. Too hard = shutdown. I calibrate.
  • Action over theory — you build from week one. The speed itself changes how you think.
  • Universal positive regard — every participant’s path is valid. No “right” way to relate to AI — only yours, examined honestly.
“Claude complemented this side of my brain, my personality, and it works super well.” — Dmitry, product manager
“The state of flow, when you’re constantly building — Claude Code brought that back into my life.” — Alexander, investment analyst

Community

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Salient Community

Building what needs to be built

Philosophy, values, and technology. A community for builders who care about what they’re building and why. Home of Salience Lab and Claude Code Lab.

salient.community →

AGENCY: Community

Russian-speaking AI community

~150 members across countries and backgrounds — developers, entrepreneurs, designers, artists. People arguing about how AI should actually work. Active since 2024.

Telegram · Russian

@toolusing

Tool Building Ape

AI tools, coding agents, vibe coding

~1,800 subscribers

@experimentally

Опытным путём

Psychology meets practice

~1,500 subscribers

@mentalhealthtech

Mental Health Tech

AI in mental health

~500 subscribers

Direct message: @glebkalinin · Berlin, Germany

Verity Research