About Pavel Kiyatkin
Pavel Kiyatkin is an AI Implementation Architect. He designs cognitive systems for solo operators and AI product builders — the architectural patterns behind agent orchestration, knowledge management, multi-domain operations, and AI-augmented business.
The work shows up across four properties:
- aipedia.info — this site. Global AI knowledge platform: pillars on architectural patterns, an encyclopedia of foundations, and courses for builders.
- aipedia.ru — Russian-language AI resource, twin of this site for Russian-speaking audience.
- ruaut.ru — industrial AI, currently parked for the moment when AI automation in industrial contexts becomes the next mainstream trend.
- kiyatkin.ru — Russian personal brand anchor.
How I work
I run all four properties as one person plus AI agents. The connective tissue is a personal cognitive operating system I built for myself — its architecture is what informs everything you read here. The system itself is not for public consumption, but the principles behind it are. That distinction matters: the pillars on this site are written from inside a working AI-native operation, not from outside looking in.
My approach prioritizes shipping over theorizing. Every pillar describes patterns I've seen survive real load. The encyclopedia entries are the foundations underneath. When something breaks in production, that's where the failure modes section comes from.
Background
Engineering education with honors degree in electrical and electromechanical systems. Multi-year operator background spanning software, content systems, multi-domain SEO, and AI infrastructure. Russian and English — equally comfortable in both for technical work, English-first for public writing.
Work with me
If you're a solo operator, indie founder, or technical builder thinking about how to architect AI systems that don't collapse under their own weight, the pillars are free and the encyclopedia is free. The courses go deeper.
For one-on-one engagements — architecture reviews, implementation roadmaps, cohorts — reach out: [email protected].
What I'm not
I'm not an AI researcher. I'm not a Big Tech engineer. I'm not a YouTube AI personality cycling through tool reviews. I'm a builder who chose to make the design language of AI implementation his subject — and the subject pays its way through the courses, the consulting, and the audience that finds the work useful.
If that's the kind of voice you want in your AI reading, you're in the right place.