> For the complete documentation index, see [llms.txt](https://aiphahunter.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aiphahunter.gitbook.io/docs/troubleshooting.md).

# Troubleshooting

## **Common Issues & Resolutions**

* **Query Interpretation**: While CryptoSage employs advanced natural language processing, occasionally clarification may be needed. Use the menu interface to provide additional context and reformulate your request.
* **Protocol Compatibility**: Verify that your selected assets and networks are within CryptoSage's supported ecosystem. Modify your instructions to align with available options.
* **Conditional Execution Delays**: For trigger-based operations, ensure conditions have been met. Consider adjusting parameters or extending wait times if needed.
* **Transaction Delays**: Address slow transactions by optimizing gas parameters or implementing a strategic retry after network conditions improve.
* **System Recovery**: Maintain sovereignty over your assets by connecting your private key to any compatible wallet interface.
* **External Transfer Limitations**: Direct transfers to external addresses are currently restricted, with functionality planned for future releases.
* **Data Freshness**: When encountering outdated information, request a data refresh with "Update and display current metrics."
* **Platform Accessibility**: During source platform outages, CryptoSage may experience data gaps. Consider alternative data sources or retry after a brief interval.
* **Query Refinement**: Narrow broad result sets by implementing specific temporal bounds, platform filters, or keyword constraints.
* **Data Availability**: When specific data points are unavailable, broaden your search parameters or explore alternative information sources.

**Optimization Strategies**

* **Real-Time Analysis**: Target recent timeframes (e.g., "past 4 hours") for current insights.
* **Cross-Platform Verification**: Leverage multiple data sources to build comprehensive project understanding.
* **Experimentation**: Explore various query structures and time windows to maximize information discovery.