Rewards
Volatility-Responsive Safeguards
Users define risk tolerance, enabling AI agents to act as proactive stewards:
Stablecoin Conversion Triggers:
Auto-convert X% of holdings to stables if:
BTC drops >12% in 24h (user-adjustable)
Protocol TVL declines >30% in 48h
Swing Capture Mode:
Reallocates to undervalued assets after drawdowns (e.g., buying BTC post-20% dip).
Time-Weighted Strategies:
Gradual entries/exits over hours/days to avoid slippage.
Customization:
🎁 Rewards: Earn $BAI for Ecosystem Growth
Three incentive streams to align community and protocol success:
1. Contributor Rewards
LLM Training: Earn $BAI for refining AI agent logic via feedback loops.
Data Validation: Flag inaccurate yield/risk data → earn bounties.
2. Referral Rewards
Share unique links to onboard users → earn 10% of their first-year fees.
Tiered bonuses for activating institutional clients.
3. Node Operator Rewards
Stake $BAI to run AI data nodes → earn BTC/stables from compute fees.
Slashing penalties apply for downtime or faulty outputs.
Reward Structure:
Activity
Reward
Vesting
LLM Training
50–500 $BAI/month
6-month linear
Referrals
10% fee share
Instant
Node Operation
0.1 BTC/month*
Weekly
*Based on 10,000 $BAI staked and 95% uptime
Roadmap Alignment
Phase 1 (0–6mo): Launch wallet integrations + basic risk profiles.
Phase 2 (6–12mo): Activate rewards programs + card partnerships.
Phase 3 (12–18mo): Expand node network + institutional risk tools.
This framework balances user sovereignty, AI-driven efficiency, and sustainable community growth—all anchored to Bitcoin’s core principles.
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