Architecture & Workflow

PolinaOS is a modular coordination system designed to help digital-native projects automate community growth. While Web3 has accelerated this trend — with small teams launching DAOs, tokens, and experiments at scale — the need for scalable, intelligent coordination applies to any project with a public presence.

Instead of relying on spreadsheets, Discord mods, or Google Forms, PolinaOS uses AI agents, public data, and on-chain proof to manage missions, monitor performance, analyze sentiment, and allocate rewards — autonomously.

🔁 Modular Workflow Overview

🧑‍💻 Creator inputs mission context ⬇
📊 Project Intelligence Layer collects project signals (Twitter, on-chain, token metadata) and generates dashboards such as Project Leaderboard & KOL Leaderboard ⬇
🤖 AI Task Generator creates weekly missions based on project analysis and market signals ⬇
🧵 Contributors post on Twitter / perform on-chain actions ⬇
🔍 Community Scanner tracks tweets, wallets, and activity data with timestamp accuracy ⬇
🧠 Scoring Engine performs sentiment analysis, filters bots, and ranks contributors by verified impact ⬇
🎯 Reward System allocates tokens based on scores ⬇
🌐 Claim Portal (Solana-based) lets users redeem rewards trustlessly

Each step is modular and can be integrated independently. Combined, they create a fully automated intelligence-to-reward loop — from project analysis to mission design to verifiable impact measurement.

🧩 Advanced Workflow Customization

While PolinaOS provides a default closed-loop pipeline, advanced users can design custom workflows using a visual editor — similar to n8n.

This system allows teams to drag-and-drop modules such as:

Data Inputs: Twitter search, wallet scans, token metadata, sentiment feeds
AI Agents: Analyst (insights), Creator (missions), Scoring (evaluation), Reward (allocation)
Actions: Publish mission, update leaderboard, trigger Telegram/Discord bot, execute on-chain contract
Conditions & Branching: “If sentiment < 40% → trigger crisis mission”, “If token volume spikes → launch shill quest”
Integrations: Solana RPC, EVM RPC, external APIs (DexScreener, GeckoTerminal), webhooks

The visual workflow builder makes it possible to:

Orchestrate multi-agent pipelines without coding
Insert custom data transforms (filters, enrichment, ML models)
Connect to third-party tools for analytics, marketing, or governance
Run parallel or conditional flows depending on project state

Example Use Case

Token price spikes → PolinaOS auto-detects → Creator Agent generates an urgent shilling mission → published to Mission Board → Scoring Agent ranks contributors → Reward Agent distributes tokens → summary report posted to Telegram.

With this customization layer, PolinaOS evolves from a fixed OS into a programmable coordination engine where every project can craft its own intelligence-to-action loop.

🛠️ Technical Summary

Component	Stack
Intelligence Layer	KOL Leaderboard, Project Leaderboard, Sentiment Analysis, AI-generated Reports
AI Agents	Gemini + LangChain
Data Layer	ctScreener APIs (Twitter) + Solana RPC
Frontend	Next.js + Tailwind
Reward Infra	Merkle Claim on Solana (EVM support planned)
Hosting	Vercel (frontend) + custom job runners