> For the complete documentation index, see [llms.txt](https://aixbet.gitbook.io/aixbet-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aixbet.gitbook.io/aixbet-docs/ai-execution-framework.md). # AI Execution Framework **AI Execution Framework** The AIxBET Execution Framework is the operational brain behind every decision made across our pools, terminals, and trading actions. Designed for precision, transparency, and scalability, this framework ensures every bet placed is backed by logic, data, and defined KPIs — not emotion or speculation. **Key Components:** * **Data Aggregation Layer**\ Continuously collects and filters real-time data from prediction markets (e.g., Polymarket), news sources, social sentiment, historical stats, and smart contract analytics. * **Multi-Model AI Engine**\ Combines outputs from various specialized AI models — LLMs, market predictors, and signal classifiers — all trained on unique data types and strategies. Weighted by past accuracy and relevance. * **Smart Money Scanner**\ Tracks top-performing wallets and their trades across prediction markets. Analyzes wallet behavior, risk appetite, and success rates to generate predictive trade signals. * **Decision Engine**\ Integrates model output, smart money signals, and market conditions to determine optimal entries. Uses predefined KPIs (e.g., min EV, risk score, max drawdown) to qualify each position. * **Execution Layer**\ Routes trades directly to supported markets through secure APIs and smart contracts. Implements bet sizing, stop-loss, and take-profit rules. * **PnL & Risk Monitoring**\ Tracks all trades in real time via a performance dashboard. Ensures system stops placing bets during excessive volatility or when KPI thresholds are breached. * **Human Oversight Mode**\ Includes optional moderator approval for high-risk positions, giving protocol admins a safeguard switch when needed. *** Let me know if you'd like to visualize this in a diagram or simplify it for a community-friendly version. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://aixbet.gitbook.io/aixbet-docs/ai-execution-framework.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.