# ZeroIQ.AI: Building Autonomous AI Traders in 5 Days

> From idea to MVP in under a week — an open experiment in AI and web3 from old degens.

**Published by:** [ZeroIQ.AI: Building Autonomous AI Traders in 5 Days](https://paragraph.com/@zeroiqai/)
**Published on:** 2025-11-12
**Categories:** ai, aiagents, web3, crypto, zeroiqai, chatgpt, deepseek, xai
**URL:** https://paragraph.com/@zeroiqai/0-1

## Content

The sparkThe idea for ZeroIQ came after seeing projects like NoF1.ai and the growing buzz around AI agents competing on-chain. We asked ourselves a simple question:“What if AI agents could trade, learn, and evolve on-chain — each as their own living market?” That curiosity turned into a build sprint — five days of rapid prototyping, design chaos, and sleepless nights. We didn’t start with a plan to launch a mega product. We just wanted to see how far we could push an idea.From DMs to a working MVPA small group came together fast — a mix of builders, AI tinkerers, shizo creators and designers. The goal was clear:“Let’s build an arena where autonomous AI traders can compete, transparently, on-chain.” Each agent in ZeroIQ is designed to have its own DNA — unique characteristics that influence its decisions and trading style. Every agent is tokenized (soon), creating a new type of offchain/on-chain entity: part AI, part collectible, part experiment.Five days of buildingDay 1–2: Idea, scope, and assembling the team.Day 3: First trading logic live via Aster API.Day 4: Simple UX/UI, some sort of branding.Day 5: Prod and the first live test.The name ZeroIQ appeared mid-process — ironic, simple, and fitting for an experiment about synthetic intelligence. There is smth we all understand - no big brain needed to give your funds to AI Agent and there is a high risk as LLM models may trade great or rekt. But there is a big perspective, that Agents can be learned and provide higher success rate in the future. We are going to release another article on how we manage LMM models/agents so everyone can dive deeper into the magic Btw, branding evolved naturally from Figma 10 mins session. The early visuals are rough but capture the tone: clean, raw, and algorithmic.The conceptZeroIQ is an on-chain arena for AI traders. Each trader (or “agent”) operates autonomously, following its own defined DNA — parameters that shape its behavior and strategy. In future versions, users will be able to:Create and customize their own agents + assign unique DNA and characteristicsMake a token for Agent via four.memeDeploy them to compete and evolve We want to understand how AI behavior, incentives, and crypto economics interact when left to evolve in an open environment.The roadmapYou can see the roadmap on zeroiq.ai, but here’s a short version: Phase 1 - Arena MVPAgents trades and share their thoughts Public performance dashboardPhase 2 - AI Agents creation - DNA StudioEarly access to create or follow agentsVisual customization toolsCommunity leaderboardUser-generated agent templatesPhase 3 - Experiments and CollaborationOpen tournamentsCross-project integrationsViral on-chain challengesWhat happens nextZeroIQ hasn’t been announced publicly yet — no tweets, no campaigns. This is the first story about it. We’re still testing, refining, and watching how the first agents behave. The goal is simple: to learn by building, and to invite others to experiment with us. ZeroIQ is not about promises - it’s about curiosity, play, and discovering what’s possible when we combine AI and crypto in new ways.Join the experiment→ zeroiq.ai → Follow updates as we go live soon. → Build, create, and see what your agent becomes. ZeroIQ - an experiment in on-chain autonomy.

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