REALROBOT Token RLRT Whitepaper Structure

REALROBOT INTRODUCTION: A leading software company with 8 years of experience and expertise in AI/ML/LLMs.
- The main problem of the market: Challenges in international payments for technical services, the need for loyalty models, and transparent access to services.
- Solution: presentation REALROBOT TOKEN (E.G. RLRT) As an efficient, transparent, and in-platform loyalty mechanism.
- Key Points: A brief mention of EU approval and the main benefits of the token.
B. Introduction & History
- Full Introduction REALROBOT.ir: 8 years of experience, field of activity (robotics, advanced coding, AI/ML/DL/LLMs).
- Specialty and target market: Describe successful experience in complex software projects and target markets (large enterprises, startups, and individual users looking for smart solutions).
- Credibility and Legality: Emphasis on acquisition All Necessary Permissions And Listing in the European Union (This is a competitive advantage and an important factor in gaining trust).
C. Problem and Solution
A. Problems that the token solves:
- Lack of a global integrated payment system: The difficulty and high cost of paying for software services internationally.
- Liquidity and Access: Lack of sufficient liquidity for in-platform credits (if it is already a system) or difficulty for buyers to access products/services in the form of a stable currency.
- Limited Loyalty Model: Lack of a robust and transparent mechanism to reward loyal users, contributors, and community developers.
B. Token Introduction RLRT As a solution:
- Main Payment Method: RLRT As the only unit of payment for All Products & Services REALROBOT.ir (Includes building custom bots, coding, consulting ML/LLMs).
- Efficiency and Cost Reduction: Using blockchain to facilitate cross-border payments, fast and with low fees.
- Loyalty and Reward Model: Tokens are used to reward users who refer projects, give valuable feedback, or contribute to community development.
D. Specifications of Tokenomics
This should be the most accurate and technical part.
A. Token Name and Standard:
- Token Name: ( REALROBOT Token)
- Ticker Symbol: RLRT
- Blockchain: TON-BlockChain
- Total Supply: 250.000.000.
- Token Model: Utility Token (utility token), because its main purpose is to buy services.
B. Token Distribution:
- Public/Private Sale: ( ) – To raise initial capital.
- Company Treasury: ( ) – for future development, operations and costs.
- Team & Advisors: ( ) – It usually has a Vesting Period.
- Community & Rewards: ( ) – to reward, stake and encourage users.
- Marketing & Ecosystem: ( ).
C. Value Accrual & Burn Mechanism:
- تقاضا: EXPLAIN HOW THE DEMAND FOR AI SERVICES AND REALROBOT SOFTWARE IS DRIVING THE DEMAND FOR RLRT.
- Burning: Are some of the tokens received from service payments burned? (This reduces supply and increases value).
- Staking: Can users enjoy discounts or exclusive access to AI models (e.g., new LLMs) by staking tokens?
E. Roadmap
A clear timeline of the project's past, present, and future.
- Phase 1 (Completed): 8 years of experience, establishing AI/ML expertise, obtaining licenses, registering in the EU.
- Phase 2 (Token Offering): Token Launch, Public/Private Offering, Token Payment Gateway Activation.
- Phase 3 (Ecosystem Development): Creating staking pools, launching new platform segments (e.g., Marketplace Robots), attracting third-party developers.
- Phase 4 (Future): Decentralization in some decisions, introduction of governance by token holders.
F. Team and Advisors
- Transparency is important. Introduce key team members, their expertise, and 8 years of experience (especially in technical areas such as ML/DL/LLMs).
- mention Legal Approval and Registration in the European Union Again, as a proof of the professionalism and seriousness of the project.
G. Legal & Risks
- Disclaimer Statement: Emphasizing that RLRT is a utility token and not a security investment.
- Legal considerations: Referring to the compliance of the project with EU regulations and other relevant laws.
- Risks: Identify potential risks (such as crypto market volatility, technical risks, regulatory changes) and plan the team to deal with them.