Protocol AI Whitepaper
  • General
    • πŸ”—Introduction
    • πŸ‘οΈVision & Mission
    • ❓FAQs
  • The Ecosystem
    • 🏠Protocol AI Ecosystem
    • πŸ€–Agent Features
    • βš™οΈProtocol Development Process
    • πŸ•ΉοΈUse Cases
    • πŸ’±pAgents Marketplace
    • πŸ“₯Onboarding
  • Integration & Compatibility
    • πŸ› οΈAgent Compatibility
    • ⛓️Cross-Chain Interoperability
  • $PROAI Token
    • πŸ’ΈToken Allocation
    • πŸ€–Token Utility
    • πŸ“ŠRevenue Model & Rewards
    • πŸ›‘οΈ$PROAI Audits
    • πŸ›£οΈRoadmap
    • 🀝Partners
  • πŸ”—LINKS
    • Website
    • Telegram Group
    • Telegram Channel
    • X/Twitter
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  1. The Ecosystem

Agent Features

Protocol AI runs on a network of powerful autonomous virtual bots capable of understanding the user prompt and interpreting the natural language into the best technical flows guided by industry-wide standards. It takes the best design decisions to deliver the most desirable request outcome. No compromise on the best security practices.

At the core of these agents are generative transformers with multiple capabilities summed up with other external components of the Protocol AI ecosystem to achieve the outcome.

GPT Engine

Protocol AI agents, pAgents, at their core at sophisticated GPT models. Enables understanding the natural language prompt to the agent to build a dapp. Protocol AI agents support multiple languages for prompting & product language.

They are equipped with additional features, integrations, and infrastructure needed to enable them to autonomously interact with external systems, make decisions, and perform tasks beyond understanding user input & generating content.

API Connectivity To perform actions such as build & connecting your dApps with external data sources and services, pAgents feature a range of protocol development plugins including;

  • Orchestration Frameworks

  • Marketplace APIs

  • Bridge APIs

  • Oracles

  • Gaming and Social APIs

  • Blockchain explorer APIs

pAgents also allow builders to connect to specific integrations or proprietary services with API keys.

Execution Frameworks & Environment

Protocol AI agents interact with the external world to execute generated solutions & require an interface & frameworks to process these interactions.

  • Wallet Integration: Wallet authentication & SDKs ability to sign and execute on-chain transactions.

  • Automation Frameworks: To automate deployment pipelines (e.g., deploying smart contracts).

  • Robotic Process Automation (RPA): For repetitive tasks like explorer querying for specific actions.

Veteran builders can adjust these to guide agents to their desired results. You don’t need to set this up to build a dApp – A robust default setting is already in place. Result Fine-tuning

Adjust the outcome of the descriptive prompt by fine-tuning the advanced settings of the Protocol AI platform to inform the agents how much design & development freedom should be employed.

  • Creativity: Informs agents how much novelty it can add to your solution. A high creativity setting outcome includes innovative features to achieve goals.

  • Precision: Setting a high precision requires you to inform agents of all architecture components to build your protocol. Medium defaults to standard components.

  • Coherence: Determines the ease of UX for the user to achieve the goal of the protocol. High coherence increases the outcome delivery time as the pAgents have to think about the best way to deliver the desired user flow.

Premium Features

Unlock advanced capabilities with our premium tier:

  • Enhanced processing speed

  • Advanced smart contract templates

  • Priority access to new features

  • Extended blockchain integration options

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Last updated 4 months ago

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