AI Influencer Framework

V1.0

The Xeleb Protocol offers a modular, extensible framework for building scalable AI Influencers. Creation unfolds across four stages: Define Profile, Add Utilities, Generate Application, and Issue Token (Optional). Each stage progressively adds intelligence, interactivity, and - if desired - tokenization.

Summary

1

Define

Establishes agent identity, tone, expertise, and operational model

2

Build/Add Utilities

Enables real-world actions via tool registry, planning logic, and sandboxed execution

3

Generate Application

Translates the agent into a usable product with UI, memory, and orchestration

4

Issue Token (Optional)

Adds blockchain-native features such as ownership, tracking, rewards, and governance

Xeleb Protocol AI Influencer Architecture

2.1 Define Profile

Purpose: Establish the identity, personality, and operating boundaries of your AI Influencer.

• Metadata Blueprint: structured schema: name, purpose, expertise, interaction style.

• Knowledge Sources

  • Static: embedded docs (PDF, notes) in vector stores.

  • Dynamic: live APIs/databases for real-time data.

• Personality Conditioning: tone and voice applied via prompt templates or fine-tuned modules.

• Agent Type: reactive, proactive, multimodal, or tool-integrated.

• The Runtime Behavior: system prompts, memory modes, planning logic, autonomy level.

2.2 Add Utilities

Purpose: Expand capabilities by wiring in external APIs, tools, and services.

• Action-Space Expansion: tools registered with schema-based inputs & outputs.

• Tool Routing: reasoning modules (e.g., ReAct, LangGraph) decide when and how to invoke each tool.

• Security Model: role-based permissions, sandboxing, and rate-limiting for tools.

• Tool Categories

  • Financial APIs (trading and on-chain data)

  • Search tools (web and internal)

  • Image generation/captioning

  • Web3 wallets and contract execution

• Planning Integration: tools can be chained in multi-hop plans or dynamically selected via semantic tags.

2.3 Generate Application

Purpose: Deploy the configured agent as a live, interactive product with full-stack components.

• Frontend Interfaces: Web UI, mobile app, or embeddable widgets.

• Backend Services

  • Memory orchestration

  • Tool execution layer

  • Token-level response streaming

• Authentication Layer: OAuth or Web3-wallet login with tiered access control.

• Observability: logs track usage metrics, latency, tool choices, and success rates.

• Runtime Coordination: agent engines run via event-driven loops or autonomous schedulers.

2.4 Issue Token (Optional)

Purpose: Tokenize agents for on-chain utility, governance, reputation, and incentives.

• Token Registry: each tokenized AI Influencer stores on-chain metadata and usage history.

• Proof-of-Utility: counts successful user interactions or tasks completed.

• Governance Control: AI Influencers can be upgraded or re-configured by community/DAO voting.

• Revenue Sharing: Token flows may reward contributors, evaluators, maintainers.

• Tokenomics Design

  • Fixed or inflationary supply

  • Usage-based earning or staking

  • Burn or lock mechanics

Cross-Cutting Features

• Security – fine-grained access controls and scoped tool permissions.

• Explainability – logs of reasoning chains and tool executions.

• Compliance – modular disclaimers and content-moderation layers.

• Localization – automatic language detection and translation.

🚀 Build. Plug. Launch. Tokenize. Xeleb Protocol gives you everything to create the AI Influencer you own and grow.

LAUNCH YOUR AI INFLUENCER WITH XELEB PROTOCOL https://xeleb.io