> For the complete documentation index, see [llms.txt](https://docs.insoblokai.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.insoblokai.io/whitepaper/delegation-model-and-stake-dynamics.md).

# Delegation Model and Stake Dynamics

InSoBlok AI enables token holders to participate in consensus via **delegated staking**, aligning passive users with active validators in a mutually beneficial economic loop.

**Delegation Mechanics:**

* **Delegators** can stake $INSO tokens to any active validator of their choice.
* **Delegated stake** boosts the validator’s selection power and share of network throughput.
* **Rewards** are split proportionally between validator and delegators based on:
  * Validator uptime & performance
  * Community governance participation
  * TasteScore and XP levels

AI-driven delegation dashboards help users choose **high-performing, high-integrity validators**, using real-time metrics and predictive indicators derived from on-chain data and community feedback.