Majid Ghorbaninazhad

Behind the Scenes: TekiNGame's 239 AI Agents Revolution

How we automated a three-language platform workflow with Guild System and ReAct algorithm at zero cost. Complete matrix of 239 specialized agents, ReAct Agent tutorial with Python code, and Design System Generator - all free and open-source.

Managing a technology and gaming platform at international scale with three languages—Persian, English, and Arabic—presents challenges that many development teams struggle with. Writing a comprehensive

technical article, translating it accurately to two other languages, optimizing SEO for each version, designing consistent UI/UX, and finally performing quality checks—this process traditionally requires

at least 6 hours and significant costs. TekiNGame's team, deeply understanding this challenge, decided to build a structural and repeatable solution instead of hiring additional staff or purchasing expensive

SaaS tools. The result was creating a matrix of 239 specialized AI agents organized into 17 departments (Guilds). Today, all these system prompts and architectures are being released completely open-source

and free for the developer community. The Challenge: Managing Three-Language Content at Scale Before implementing the AI Agents system, TekiNGame's team faced several fundamental issues that severely reduced

productivity. To better understand, let's examine a real scenario: suppose you want to write an analytical article about the latest Unreal Engine 5.5 update. [IMAGE_PLACEHOLDER_1] In the traditional method,

this process includes the following steps: (1) Research and gathering information from credible sources - 45 minutes, (2) Writing comprehensive Persian article following journalistic standards - 2 hours,

(3) Accurate translation to English preserving tone and technical terminology - 1.5 hours, (4) Translation to Arabic adapted to Gulf region culture - 1 hour, (5) SEO optimization for all three versions

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