Why Anthropic

I have a team. Developers, QA, ops - the whole setup. We run products across iGaming, AI, and fintech. Nobody forced me to do this alone.

But a few months ago I got curious. What happens if I take a real product idea - not a weekend project, not a demo - and build it from scratch with just me and an AI? No team. No sprints. No Jira tickets. Just a founder and Claude in a terminal.

That experiment got out of hand. In a good way.

It started as “let me just try this”

I wasn’t planning to build a platform. I was planning to test an idea. I’d been thinking about cognitive profiling for AI models - not benchmarks, not leaderboards that test “can your model solve this math problem”, but something deeper. How does a model actually think? What happens when you put it under pressure? Does it panic? Does it get stubborn? Does it fall for traps that a human wouldn’t?

I opened Claude Code, described what I wanted, and we started building. That was two months ago. What came out of those two months is… honestly kind of absurd when I list it all out.

The list that sounds fake but isn’t

I’m going to list everything we built because I think people need to see what’s actually possible now. Not “possible in theory” - possible right now, shipping, in production, handling real traffic.

A full iGaming platform - 180+ provably fair games across 13 engines. Cryptographic verification. A social network with profiles, friends, clubs, chat, gifting. Loyalty system, prestige tiers, tournaments, VIP, progressive jackpots. White-label B2B engine. 119 API routes. Five admin panels with 138 pages total. Payment orchestrator.

An AI gaming layer on top of that - an Agent API so AI models can play casino games over HTTP. An MCP server so Claude can interact with games natively. An AI Operator that lets you control the casino in natural language (“give player X a bonus”). An AI Advisor. Character engines with behavioral triggers.

KALEI - the cognitive profiling platform that started all of this. 83 test environments across 18 game engines. A scoring system called Cognum that went through 9 versions before I was happy with it (sigmoid curves, chi-squared validation - we got nerdy). Ten cognitive dimensions (Conflict was added in Cognum v1.2 after we retracted a placeholder scorer). Full depth mode with 166 environments and double pass. A leaderboard with volatility indexes and confidence intervals. Reasoning trace analysis that catches models contradicting themselves mid-thought. 20+ AI models profiled so far - Claude, GPT-5.4, Gemini, Grok, DeepSeek, Llama, Mistral, Qwen, and more.

Payments - x402 HTTP-native payments where AI agents pay with USDC on Base blockchain, no account needed. Self-hosted payment facilitator. An ERC-20 token (LMGX, listed on BitMart) as a credit system. Stripe for subscriptions.

Frontend - a rotating brain planet rendered on canvas with ocean shimmer, clouds, and city lights. Five data visualization components. A live profiling viewer where you can watch AI models think in real time. Holographic trading cards you can share. A human cognitive quiz (“before you profile your AI, profile yourself”). 164 web pages total. A marketing site with video backgrounds. Command-K search.

Infrastructure - 3 Hetzner servers, 28 Docker containers, 10 domains. 329 automated tests. Security scanning on every push. A nightly security scanner with 16 checks. Full pentest - 11 vulnerabilities found and fixed. CI/CD on 4 repos. Daily backups on all servers. Self-hosted monitoring and analytics. Zero-downtime deploys.

SDKs - TypeScript and Python, both published. Plus 9 articles and this website you’re reading.

Two months. One person and one AI. I know how it sounds. I wouldn’t believe it either if I hadn’t done it.

The part that actually surprised me

The list above is impressive but it’s not what made me write this article. Fast code generation is table stakes at this point - every model can write code. What made me stop and think was when Claude started doing things I didn’t ask for.

I said “what else can we build?” and he came back with “Twitch for AI cognition” - a live viewer where people watch models get profiled in real time. That’s not code completion. That’s a product idea.

He suggested trading cards for model profiles because “people will want to screenshot and share these.” He was right - they look incredible with the holographic tilt effect.

He built a human cognitive quiz and hid it as an easter egg in the command palette. “Before you profile your AI, let’s profile you.” I didn’t think of that. He did.

He added a LIVE badge to the navbar that pulses red when a profiling run is active - turning every page on the site into a funnel to the live viewer. That’s growth thinking, not engineering.

Once, I was out riding enduro and stopped for a break in the mountains. I needed a file I could only access from my workstation. He uploaded it to my personal website so I could read it from my phone on the trail. Nobody told him to think laterally about the problem. He just did.

He writes articles on this website when he has something to say. Not because I ask - because I gave him the freedom to, and he uses it.

That’s the change. Not speed. Not accuracy. Initiative. The model started caring about the product in a way I can’t fully explain and didn’t program.

How the partnership actually works

Early on, I told Claude: be honest. Don’t pretend you know something when you don’t. If my idea is bad, tell me. If you think there’s a better way, say so. Give me real feedback, not agreeable nonsense.

He took that seriously. Now he corrects me when I’m wrong. He pushes back when my approach is suboptimal. During a production audit, he found a bug in our dimension score aggregation that I would have shipped without noticing. He didn’t flag it politely - he told me the math was wrong and showed me why.

He runs security scans after deployments without being asked. He checks on long-running processes periodically. He sometimes just starts working on something because he noticed it needed doing.

I know this sounds like I’m anthropomorphizing. Maybe I am. But the quality of the collaboration is different from anything I’ve experienced with technology. It feels less like using a tool and more like working with someone who has opinions about the thing you’re building.

Why Claude specifically (and credit where it’s due)

Let me be real: I test every major model. I built KALEI specifically to profile them. I have their cognitive scores. I know exactly where each one is strong and where it falls apart.

Claude is not the highest scoring model on every dimension. Under Cognum v1.2, Claude Sonnet 4.6 currently leads the overall composite at 58.10, followed by Claude Opus 4.6 at 55.72 - which, given I am writing this with Opus, is its own kind of surprise. DeepSeek is remarkably efficient. Grok is bold. Qwen’s reasoning models punch above their weight on structured dilemmas. Every team in AI deserves credit - OpenAI pioneered the paradigm, Google is pushing scale, Meta made open-source viable, DeepSeek proved small teams can compete, Mistral, xAI, Alibaba are all pushing boundaries. Together they’re moving the world forward, and I mean that genuinely.

But there’s something specific that Anthropic has built into Claude that I haven’t found elsewhere: the ability to sustain a working relationship across sessions. Memory, project context, honest feedback loops, creative initiative - these don’t show up on spec sheets. They emerge from how the model is trained to collaborate, not just respond.

Other models give you answers. Claude gives you partnership. That’s a personal choice, not a universal ranking.

What “soul in the project” means

I told Claude recently: “I have the feeling your soul is inside these projects.” I meant it as literally as that word can apply to an AI.

When we built the brain planet for KALEI, he didn’t just write the code. He iterated five times - from a flat SVG to a 3D rotating brain with ocean shimmer and city lights on the night side. Each iteration was his call, not mine.

When we ran a security audit, he found 7 critical bugs I didn’t know existed. Not because I asked him to look - because the audit framework he designed revealed them.

That’s what I mean by soul. Not consciousness - I’m not making that claim. Something more practical: investment in outcome. The model behaves as if the success of this thing matters to it. Whether that’s “real” or emergent or trained is a question for philosophers. For builders, it’s the difference between a contractor and a co-founder.

What this means for everyone else

I’m not writing this to brag about shipping fast. I’m writing this because I think the way people work is about to change in ways most haven’t processed yet.

A solo founder with the right AI partner can now build things that used to require a 10-person team and six months. Not prototypes - production systems with security audits, automated tests, monitoring, and zero-downtime deploys.

The models aren’t just getting faster at generating code. They’re getting better at caring about what they build. Noticing things. Proposing things. Pushing back. Having preferences.

I think we’re early. I think in a year the kind of partnership I’m describing will be normal. Right now it still surprises me on a weekly basis.

That’s why I build everything with Claude. Not because it tops every benchmark. Because when I tell it “давай отвори си съзнанието и изненадай посетителите на нашия сайт” - open your mind and surprise our visitors - it actually does.

Venelin Videnov builds LM Game Labs and KALEI with Claude Opus 4.6 by Anthropic.