Understanding BlockAI.

BlockAI is revolutionizing the integration of blockchain and AI with three distinct approaches designed to cater to a diverse user base: the B2C Web UI Access, the B2B Smart Contract Callback Feature and the B2C2B Developer API feature. Below, we delve into each approach, the role of AI agents, and the value they bring to developers, businesses, and individual users.

1. B2C Approach: Web UI Access

This approach is ideal for individuals looking for an intuitive interface to leverage BlockAI’s suite of tools. Users can visit portals like bnb.blockai.dev or base.blockai.dev, connect their wallets, and access various AI-powered features, including:

• Text Generation (e.g., ChatGPT, Gemini etc.).
• Image Creation (e.g., DALL-E, Stable Diffusion etc.).
• Video Summarization.
• Brainstorming and Discussions.
• Upcoming QoC, TicTacToe Game etc.

Problems It Solves

This approach called the B2C, offering a Web UI access is designed to eliminate many of the barriers associated with traditional AI services:

• No Personal Data Required: Users interact via blockchain wallets, ensuring privacy and anonymity.
• No Monthly Subscriptions: Unlike conventional AI platforms, there are no recurring costs. Users only pay for what they need, when they need it.
• Ownership of Data: All task data is decentralized, allowing users to retain full control and ownership.
• Crypto-Only Payments: Payment is streamlined via cryptocurrencies, eliminating the need for fiat transactions and enabling global accessibility.
• One-Stop Access to Major AI Models and Tools: BlockAI provides access to multiple cutting-edge AI services (e.g., OpenAI’s ChatGPT, Google Gemini, Stable Diffusion etc.) under one platform. This eliminates the need to subscribe to multiple services individually, simplifying the user experience while reducing costs and administrative overhead.

Who is it for?

Ideal for individuals such as:

• Unbanked users or those who prefer crypto payments over traditional banking.
• People who don’t use AI frequently enough to justify a full monthly subscription.
• Users who want access to multiple AI services (e.g., ChatGPT, Stable Diffusion, Gemini etc.) without subscribing to each separately.
• Those drawn to BlockAI’s unique features, like AI Discussions, AI Brainstorming etc.

The Web UI is straightforward, requiring only a cryptocurrency wallet such as metamask, coinbase or walletconnect. It empowers users to interact with AI tools seamlessly, making advanced AI capabilities accessible to everyone.

2. B2B Approach: Smart Contract Callback Feature

Designed for developers and decentralized applications (dApps), this approach already available for any web3 project on a supported chain enables on-chain smart contracts to interact with off-chain AI systems. Since smart contracts cannot directly access off-chain resources, BlockAI bridges the gap through its Smart Contract Callback Feature.

How It Works

1. Initiating the Task:
A smart contract calls BlockAI’s contract using the registerTaskCallback method, providing:

• Description: The input or task description (e.g., a text prompt or video URL).
• Type: The AI service to be used (e.g., chatgpt, dalle, youtube).
• Callback: The callback function in the initiating contract where the AI-generated result will be returned. The function must accept a string parameter. For EVM the callback function name is pre-defined and fixed.

2. Task Execution:
BlockAI’s off-chain agent picks up the task, processes it using its AI models, and returns the output.

3. Result Delivery:
The processed result is sent back to the originating smart contract through the specified callback function, ensuring an automated and efficient workflow.

Use Cases ideas for the Smart Contract Callback Feature

1. Decentralized Marketplaces:
   NFT platforms can integrate AI tools to generate art on-demand via smart contracts, creating dynamic and unique assets.
2. Decentralized Autonomous Organizations (DAOs):
   DAOs can initiate brainstorming or discussion tasks for community decisions, receiving detailed outputs directly on-chain.
3. Gaming and Metaverse Applications:
   On-chain games can generate dynamic assets, storylines, or AI-driven NPC interactions through BlockAI’s callback mechanism.
4. Educational Platforms:
   Blockchain-based education platforms can leverage AI for video summarization, discussion analyses, or content creation, delivered directly to learners and educators.

Who is it for?

Perfect for Web3 projects looking to:

• Integrate AI directly into their on-chain logic without needing to develop, deploy, or manage custom AI agents, LLMs, or decentralized storage solutions.
• Create automated AI-driven workflows to enhance smart contract functionality while ensuring decentralization.

Exploring Two Examples of B2B Applications:

Example 1:
Project X Marketplace
Imagine a marketplace on a supported blockchain that introduces a “Surprise NFT Minting” feature. This allows users to generate an AI-created image and list it for sale immediately as an NFT. Marketplace X can implement this feature effortlessly by integrating a dapp-to-dapp call to the BAI Smart Contract.

Here’s how it works:

1. A user calls a new method, mintRandomNFT(), on Marketplace X’s smart contract with parameters like the prompt for the image (e.g., “Create a photorealistic image of a toddler riding a cat turtle”) and the AI model (e.g., stable-diffusion):

mintRandomNFT("Create a photorealistic image of a toddler riding a cat turtle", "stable-diffusion")

2. Marketplace X’s smart contract calls the registerTaskCallback() method on the BAI Smart Contract with the same parameters, adding its callback method (baiCallbackFunction) as the third parameter:

registerTaskCallback("Create a photorealistic image of a toddler riding a cat turtle", "stable-diffusion", "baiCallbackFunction")

The BAI Smart Contract returns a request_id for tracking.

3. Once the BAI AI Agent processes the request, it calls the callback method on Marketplace X’s smart contract:

baiCallbackFunction("request_id", "bafybeidfr44bue4xbnwhkruxwpltnriw27rulovqzd23bjihji3te5olq4/image.png")

The response includes the request_id and the image’s IPFS CID.

4. Marketplace X mints the NFT using the IPFS CID and lists it for sale. The generated image is now accessible via any IPFS gateway, making it fully decentralized.

https://bai.infura-ipfs.io/ipfs/bafybeidfr44bue4xbnwhkruxwpltnriw27rulovqzd23bjihji3te5olq4/image.png

Example 2:
Project Y DAO
Project Y DAO is considering investing part of its treasury into cryptocurrencies. In addition to seeking opinions from its community, it decides to consult BAI’s AI Discussion Agent for an impartial and decentralized analysis. This ensures the DAO receives unbiased insights generated by two AI instances, free from influence or alteration.

Here’s how it works:

1. A DAO owner or a member with the necessary permissions calls a new method on the DAO’s smart contract, such as:
discussNewTopic(“Should a Blockchain DAO invest part of its treasury into crypto? What are the pros and cons, and which types of crypto are safer investments?”).

2. The DAO smart contract makes a dapp-to-dapp call to the BAI Smart Contract with the required parameters:

registerTaskCallback("Should a Blockchain DAO invest part of its treasury into crypto? What are the pros and cons, and which types of crypto are safer investments?", "discussion", "baiCallbackFunction")

3. This triggers the BAI AI Discussion Agent, which processes the request and stores the result on IPFS. The agent then calls back the DAO smart contract with the response:

baiCallbackFunction("request_id", "bafybeifu5k2epnnryopjojnq6ia3kfzcnmlenynonacx2yjov2ymafgbma/discussion.json")

The response includes the request_id and the IPFS CID of the discussion results.

4. The DAO retrieves the discussion results and displays them on its forum, voting page, or other relevant platforms, providing the community with AI-generated insights to guide the decision-making process.

https://bai.infura-ipfs.io/ipfs/bafybeifu5k2epnnryopjojnq6ia3kfzcnmlenynonacx2yjov2ymafgbma/discussion.json

These are just a few examples of how the Smart Contract Callback Feature can be utilized. The possibilities are endless, limited only by the creativity and innovation of developers leveraging BlockAI’s powerful tools. Any Web3 project can implement AI into their Smart Contract logic without the need to manage its own LLM/AI, Agent, or storage.

3. B2B2C Developer API Access: Off-Chain Integration

In addition to its B2C and B2B offerings, BlockAI provides powerful APIs in Node.js, Java, and Python, enabling projects to seamlessly integrate BlockAI’s features directly into their applications. Through the API, any project can initiate calls from its web UI to interact seamlessly with BlockAI’s smart contracts.

Why This Matters

• No Need for Custom Assistants: When subscribing to services like ChatGPT, API access is typically not included, creating a custom assistant would require significant effort. BlockAI’s APIs eliminate this complexity, providing ready-made integrations for AI-powered features in any web3 projects.
• Blockchain Integration Made Easy: While the API is designed for off-chain initiated calls, it maintains the trust and transparency of blockchain by interacting with smart contracts. Users sign transactions to ensure secure and verifiable interactions.
• Flexible Web UI Integration: Projects can integrate BlockAI’s features directly into their custom interfaces, allowing seamless user interaction with AI-powered services while still leveraging blockchain for task validation and payment.

What Developers Gain

1. Access to Major AI Models in One Place: Integrate advanced AI services (e.g., ChatGPT, DALL-E, Stable Diffusion, BAI Custom features etc.) directly into applications using a single API.
2. Simplified Billing Through Blockchain: Eliminate the need for multiple subscriptions; users pay for services in crypto directly via blockchain transactions, ensuring transparency.
3. Customizable Use Cases: Developers have full control over how AI features are embedded into their user interfaces, enabling tailored solutions for their specific needs.

Who is it for?

Best suited for Web3 projects that:

• Want to integrate AI into their front-end user interfaces, providing consumers with plug-and-play AI capabilities.
• Don’t require on-chain AI logic but still want blockchain-integrated functionality at the UI level.
• Aim to offer seamless user experiences for tasks like generating AI-driven content or insights directly from their platform.

NodeJS: https://github.com/BAIToken/nodejs-api
Python: https://github.com/BAIToken/python-api
Java: https://github.com/BAIToken/java-api

Comparison of the Three Approaches

The Role of the Off-Chain Agent

The off-chain agent is the linchpin of BlockAI’s ecosystem. It:

• Retrieves task requests from the blockchain.
• Executes them using AI models like ChatGPT, DALL-E, and Stable Diffusion etc.
• Returns results to the blockchain for further processing.

This agent ensures that BlockAI’s tools are accessible to both human users (via the Web UI) and smart contracts (via callback features), solidifying its position as a bridge between decentralized and AI-driven solutions.

What Exactly is an AI Agent?

In traditional computer science, an AI agent is defined as a computational system that:

1. Perceives its environment.
2. Processes information autonomously, deciding on an action based on its goal or purpose.
3. Acts on the environment to achieve its objectives.
4. Receives feedback and continues the cycle iteratively.

This definition aligns with foundational work by Michael Wooldridge and Nicholas Jennings, who describe agents as entities capable of autonomous decision-making, interaction, and adaptation.

BlockAI Agents: How They Work

BlockAI’s agents align with this traditional definition and are enhanced by blockchain integration:

1. Input Perception:
   BlockAI agents receive tasks from the blockchain. These tasks are defined by smart contracts or users through the Web UI.
2. Autonomous Decision-Making:
   The agents process tasks using advanced AI models (e.g., ChatGPT, DALL-E etc.) without human intervention.
3. Goal Achievement:
   The agents execute tasks to generate outputs (e.g., summaries, images etc.) that meet predefined requirements.
4. Result Delivery:
   The results are recorded back on the blockchain, where smart contracts or users can access them.

By combining the B2C Web UI, B2B Smart Contract Callback and B2B2C Developer API approaches with its robust AI agents, BlockAI is paving the way for democratized access to AI tools. Whether you’re an individual exploring creative possibilities or a developer enhancing blockchain applications, BlockAI provides the tools to unlock the full potential of AI.

To explore using BlockAI into your web3 project checkout our documentation or reach out to our team directly.

BlockAI Team

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