Verified Track Record

Proven at Scale Through Real Systems & Metrics

No theoretical promises: these selected systems are presented using the real scale we have implemented.

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10 bn+ Tokens processed

660,000+ Texts in one client project

1,200+ hrs Internal work hours saved

1,300+ Documents in the knowledge system

Processing more than 660,000 texts for a large product catalog

More than 660,000 texts processed or generated
Multilingual content for high-volume product data
Keywords and search intent considered for each market
System and cost model selected to fit the data volume

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Knowledge system for company documents and projects

Making more than 1,300 documents useful in daily operations

More than 1,300 documents integrated
Documents remain readable for people in Markdown or Obsidian
Content is additionally made semantically discoverable
Project context from Trello, CRM, and meetings can be included

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Producing more than 500 images and videos for campaigns

More than 500 images generated
Additional videos for social media and Google Ads
Designed for repeatable campaign volumes
Production as a scalable process rather than one-off shoots

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YouTube & AI knowledge

Real Systems Explained on Video

Watch English-language tutorials on AI systems and automation — from real projects and practical use cases.

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Trello + n8n AI: Build No-Code Automations & Agents

Connect Trello with n8n and automate workflows using AI: read Trello cards, lists, and activity automatically and process them further with LLMs.

n8n AI Agent: Connect Trello, Google Sheets, Tavily & OpenRouter

Build an autonomous AI agent in n8n: connect Trello, Google Sheets, Tavily, and OpenRouter so the agent can independently find and process information.

AI Model Quantisation: Understanding FP16, FP4 & 4-Bit

What quantisation means for AI models: understand model sizes like FP16, FP8, and FP4, reduce memory requirements, and use computing power efficiently.

AI API Cost Calculator: Tokens & Cost Per Task

How to accurately calculate the real API costs of AI models: understand input, output, and reasoning tokens and realistically estimate costs per task.

ChatGPT & GDPR: How to Use AI Compliantly in Your Business

Using ChatGPT in your company in a GDPR-compliant way: data protection risks, differences between Business and Pro plans, EU AI Act, and proven best practices.