Getting Started.
Welcome to AI DOJO! The all-in-one platform to test, evaluate, and improve AI agents.
Problem.
AI agents are falling short. The market is flooded with untested, unverified, and low-quality agents—yet no unified platform exists to test, evaluate, and refine them. AI DOJO changes that.
Developers face a fragmented, inefficient workflow:
Constantly switching between platforms creates a frustrating user experience.
Generating diverse, high-quality synthetic data is challenging.
Human feedback is either biased or costly.
Performance metrics are siloed, and evaluations lack transparency.
Without a unified, closed-loop system, AI development struggles with reproducibility.
AI DOJO solves these challenges—bringing seamless AI training, testing, and evaluation into one platform.
The Solution.
AI DOJO is a unified platform for AI testing, evaluation and improvement—all in one place. It replaces fragmented tools with a seamless, closed-loop system that enables transparent, reproducible, and scalable AI development.
Developers can:
Build AI agents using their preferred frameworks like Eliza OS, Virtuals, LangChain, LlamaIndex, OpenAI Operator, Relevance AI, CrewAI, and Langgraph.
Test prompts and conduct transparent evaluations in a streamlined environment.
Leverage an AI agent ranking system to assess performance, build trust, and filter out unreliable agents.
Key Features
Full Framework Integration – Seamlessly generate AI agents through your preferred frameworks, directly on AI DOJO.
Transparent AI Evaluation – Logs performance metrics on-chain, enabling real-time tracking, decentralized audits, and LLM-powered assessments for maximum transparency.
Agent Traceability – Tracks the full lifecycle of AI agents from training to deployment, ensuring auditability, compliance, and reliability through verifiable logs and performance insights.
AI Data Generation – Generate diverse, high-quality synthetic datasets tailored for different agent frameworks.
Human Feedback – Engage with an incentive-driven community of human contributors to refine and enhance synthetic datasets.
Closed-Loop AI Training Protocol – Integrates synthetic data, human feedback, and evaluations within a blockchain-powered workflow to ensure reproducibility, transparent tracking, and seamless iteration.
Why AI DOJO?
Most organizations use AI in at least one business function—only 1% believe their AI deployments are mature.
This gap shows that businesses need better evaluation tools to improve ROI and allow for growth.
By addressing the maturity gap, AI DOJO helps organizations scale their AI deployments, ensuring better agent performance, higher returns, enhanced agent adoption and more addressable markets. Our platform:
✅ Boosts ROI with better-performing agents.
✅ Scales agents confidently using synthetic, bias-free data and our global community of human contributors.
✅ Reduces AI agent adoption risk with a robust evaluation framework, paving the way for smoother integration across various sectors.
✅ Unlocks new markets enabling growth in sectors with low risk tolerance (e.g., Healthcare), expanding your addressable market significantly.
How It Works!
We are building a critical part of the agentic AI industry—to test, evaluate and improve AI Agents.
Train: Leverage synthetic, customized datasets for your AI’s unique needs.
Test: Evaluate metrics like accuracy, bias, and real-world alignment.
Improve: Refine your agent with human feedback.
Business Strategy
Core Focus
Freemium – Free access to basic tools via web, App Store, and Chrome extension, making it easy to adopt. Premium features unlock via subscription plans (basic, pro, enterprise).
Subscriptions – Our core SaaS revenue stream, offering different pricing tiers for individuals and enterprises.
Agent Rating as a Service – Offer expert evaluation of AI agents, with an optional Rating Report, providing detailed insights and a public certification.
Advertising – Sponsored integrations for products and services, ensuring non-intrusive ad placements.
Future Opportunities
API Licensing – allows developers to scale usage based on their needs without upfront costs, making our services more accessible and appealing.
White-Label Solutions – Custom-branded enterprise solutions with a setup fee and recurring charges.
Token Utility
Payment Token – Introduce a native token for transactions within the ecosystem, enabling seamless payments for services.
Human Feedback Incetivisation Program – Reward users for providing high-quality feedback on AI agents, improving performance while fostering community engagement.
Incentive Rewards System
10% referral commission for those who bring in business (Virtuals, Eliza OS, Launchpads, etc.).
30% of revenues allocated to burn/buy back the DOJO token, driving token value.
Product Roadmap.
Why Does It Matters?
Phase 1-2: Build core tech for immediate developer adoption.
Phase 3-4: Scale with user input and proprietary AI, creating long-term defensibility.
Phase 1: Core Platform Launch
Months 1-3
Launch Evaluation Platform: Test AI agent & RAG performance with custom modules.
SDK v0.1 Release: Integrate with Langchain and Eliza OS.
Token System Development: Initial testing.
Phase 2: Data & SDK Growth
Months 3-4
Synthetic Data Tools: Generate and refine data.
Prompt Management: Version control & OpenAI/Anthropic/Gemini integration.
SDK 1.0 Release: Stable versions for Langchain, Eliza OS, Relevance AI.
Phase 3: Feedback-Driven Iteration
Months 4-6
Human Feedback System: Mobile/web client & incentive contracts.
Advanced Experimentation: AutoRAG testing, parallel experiments.
Data Pipeline Scaling: Process large-scale feedback.
Phase 4: Custom AI Models
Months 6-8
Fine-Tuned AI Models: Optimized for RAG/agent evaluation.
User Tools: Enable in-house LLM fine-tuning.
Powered by a Decentralized Ecosystem.
Contributors
Submit, label, and verify data → earn rewards.
Data Owners
Own revenue and governance rights.
Stakers
Secure submissions by staking → earn rewards.
Token Utility.
Agent Battlestation—where decentralized bounties forge the fiercest, battle-tested agents!
Here, companies and individuals can post bounties for specific AI solutions, and developers compete by submitting their best agents.
This ecosystem allows only high-quality, innovative projects to thrive while rewarding top contributors with tokens.
How Does It Work?
🚀 Bounty-Based Competitions:
Companies and individuals set clear objectives by posting bounties on-chain.
Developers submit AI agents that are automatically tested against a predefined evaluation dataset.
The best-performing submission wins the bounty, with the winning code transferred to the bounty poster.
💰 Gamified Activation Program:
Participants stake DOJO tokens to enter the competition.
This ensures that only serious, committed developers participate, leading to higher-quality solutions.
📊 Transparent Leaderboard & Marketplace:
An immutable leaderboard tracks performance, ensuring a level playing field.
Smart contracts handle the bounty release and code escrow automatically, providing transparency and fairness.
🏆 Incentive Alignment:
Both winners and other quality contributors receive rewards.
This motivates continuous innovation and improvement within the community.
In essence, DOJO tokens are the lifeblood of the platform—they help ensure quality agents are being developed, incentivize human participation, and maintain a transparent, decentralized marketplace for AI innovation!
Frequently Asked Questions.
What’s evaluated?
Accuracy, bias, real-world performance—and everything in between.
How does human feedback help?
Global community reviews refine data → smarter, fairer agents.
Is my data safe?
Yes! Synthetic data only—no sensitive info required.
Who uses AI DOJO?
Developers, enterprises, Web3 teams (like Eliza OS), and researchers.
Can I try it?
Integrate in minutes via API.
Ready to Build Better Agents?
Join hundreds of teams already training, testing, and evolving their AI.
Take your AI agents to the next level with AI DOJO—a unified platform for training, testing, and evaluation.
Collaborate, innovate, and scale with confidence!
Contact Us
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