Mapping @gaib_ai against what matters for onchain AI agents, so you can judge signal vs noise in minutes
Core Runtime ➤ Deterministic planning for txs, wallet custody model, failure recovery ➤ 4337 AA or Safe-based sessions for secure delegated txs ➤ Cross-chain intent routing (CCTP, CCIP, or native bridges) to avoid liquidity silos
Data + Models ➤ Retrieval layer: onchain state, offchain APIs, oracle sync cadence ➤ Latency budget per action; cold vs warm model context; caching strategy ➤ Model provenance and evals for agent reliability, not just benchmarks
Economics ➤ Clear fee loop: who pays, in what asset, and how costs are bounded ➤ Task markets with reputation, slashing, or zk attestations for trust ➤ MEV-aware agent execution to minimize slippage and sandwich risk
Usecases that actually hit ❶ Portfolio autopilot: rebalance, hedging, roll perps with guardrails ❷ Payments ops: invoices, FX, batch payroll across chains ❸ Ops agents: NFT drops, vault rolling, liquidity mgmt on EVM
If @gaib_ai ships clean session keys, robust retrieval, and a transparent fee loop, agent networks can graduate from demos to P&L-positive automations. Track KPIs like action success rate, cost per successful tx, and time-to-finality per agent task
Think agents are the next major infra wedge, or do we still lack the rails to make it enterprise-grade NFA + DYOR
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➥ GAIB Agent Stack Checklist
Mapping @gaib_ai against what matters for onchain AI agents, so you can judge signal vs noise in minutes
Core Runtime
➤ Deterministic planning for txs, wallet custody model, failure recovery
➤ 4337 AA or Safe-based sessions for secure delegated txs
➤ Cross-chain intent routing (CCTP, CCIP, or native bridges) to avoid liquidity silos
Data + Models
➤ Retrieval layer: onchain state, offchain APIs, oracle sync cadence
➤ Latency budget per action; cold vs warm model context; caching strategy
➤ Model provenance and evals for agent reliability, not just benchmarks
Economics
➤ Clear fee loop: who pays, in what asset, and how costs are bounded
➤ Task markets with reputation, slashing, or zk attestations for trust
➤ MEV-aware agent execution to minimize slippage and sandwich risk
Usecases that actually hit
❶ Portfolio autopilot: rebalance, hedging, roll perps with guardrails
❷ Payments ops: invoices, FX, batch payroll across chains
❸ Ops agents: NFT drops, vault rolling, liquidity mgmt on EVM
If @gaib_ai ships clean session keys, robust retrieval, and a transparent fee loop, agent networks can graduate from demos to P&L-positive automations. Track KPIs like action success rate, cost per successful tx, and time-to-finality per agent task
Think agents are the next major infra wedge, or do we still lack the rails to make it enterprise-grade NFA + DYOR