Skip to content

About Primores — Practical AI for Business

About Primores

TL;DR: Primores helps businesses implement AI practically — not theoretically. We build systems that compound knowledge and automate real workflows. This wiki is both our knowledge base and a demonstration of what’s possible.

Who We Are

Primores.org is an AI consulting practice based in Vilnius, founded by Andrej Ruckij.

Andrej Ruckij

Founder of Primores. Former VP of Engineering at Adform (ad tech platform), co-founder of Monetha (blockchain loyalty). 15+ years building and scaling technology products.

Now focused on helping businesses use AI to:

  • Automate knowledge work (not just generate content)
  • Build compounding systems (wikis, skills, agents)
  • Get measurable ROI (not just “AI-powered” marketing)

What We Do

AI Implementation

We don’t sell software. We build systems tailored to how your team actually works:

  • Content automation — SEO/GEO-optimized articles at scale
  • Competitor intelligence — AI-powered monitoring and analysis
  • Knowledge systems — Internal wikis that grow with your business
  • Custom workflows — Claude Code skills for your specific processes

Where We’ve Tested This

Our approaches are validated on real Lithuanian e-commerce data:

  • pigu.lt — AI content generation (5x speed, 80% cost reduction)
  • fitme.lt — Competitor ad analysis and creative reverse-engineering
  • varle.lt — SEO/GEO content optimization

See experiments/overview for methodology and cases/product-article-generator-pigu for a full case study.

This Wiki

This wiki is our working knowledge base — the same system we use to serve clients. It demonstrates:

  1. The LLM Wiki Pattern — AI-maintained knowledge that compounds over time
  2. Practical over theoretical — Real case studies with metrics, not hypotheticals
  3. Transparent methodology — See methodology for how this wiki is built

Why Public?

We believe in building in public. The wiki shows how we think, what we’ve learned, and what actually works. If you can implement it yourself from reading this, great. If you want help, we’re here.

Philosophy

What We Believe

  • AI without context is useless — your data is the differentiator
  • Systems beat one-off prompts — build things that compound
  • Honesty builds trust — admit what doesn’t work
  • Implementation beats strategy — actually do the thing

What We Don’t Do

  • Hype AI capabilities beyond what’s real
  • Sell generic “AI solutions” that don’t fit your workflow
  • Promise magic — AI is a tool, not a miracle

Get in Touch


This wiki is maintained with Claude Code using the glossary/llm-wiki-pattern.