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Agentic AI • Web3 · 2025

ZeroLag AI Agents

Decentralized marketplace for creating, deploying, and monetizing AI agents.

Live ProductAgentic AI • Web3Backed by OpenXAI2025
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ZeroLag AI Agents
// overview
CategoryAgentic AI • Web3
OutcomeBacked by OpenXAI
Year2025
Stack
Next.jsSolidityPythonVector DB
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Decentralized marketplace for creating, deploying, and monetizing AI agents. This case study walks through the problem, the approach taken, and the outcome — replace this placeholder paragraph with the real story behind ZeroLag AI Agents.

// challenge

The problem

// TODO: describe the specific problem ZeroLag AI Agents set out to solve — who felt the pain, and why existing options fell short.

// approach

The approach

// TODO: describe the approach — key technical or design decisions, and what made this solution work.

// timeline

How it came together

01 · Discovery

Research & scoping

Mapped the problem space, talked to early users, and defined what success would look like for v1.

02 · Design

Product & UX design

Wireframed core flows, tested them with target users, and locked the visual direction.

03 · Build

Engineering & integration

Built the core platform, wired up integrations, and hardened it for real usage.

04 · Launch

Shipped in 2025

Released to the public, gathered feedback, and started iterating based on real usage data.

// outcome

Backed by OpenXAI

See it live

Visit the deployed product to explore ZeroLag AI Agents yourself.

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