Very likely @Everlyn_ai is aiming straight at DeFAI’s core: agent frameworks that actually execute, not just chat but very few folks are asking the hard Qs on safety, tooling depth, and real onchain reach My initial thoughts after digging what’s public: - Strong agent-first thesis: memory, tool-use, wallet orchestration - Needs tighter specs on permissioning & human-in-the-loop failsafes - Latency/cost per action will make or break UX - Dev-first SDK + composability is the moat if they nail it What needs to be asked: 1) Tooling surface: which protocols can agents call Day 1 (lending, swaps, RWA) and how is tx authority scoped 2) Safety model: granular spending limits, circuit breakers, task sandboxes, rollback patterns 3) KPIs: task success rate, $ cost per completed task, time-to-finality, incident reporting, dev adoption Why it matters: Agentic infra is the bridge between intent → execution. If Everlyn ships clean hooks into Pendle-like yield, Teller credit, or @Infinit_Labs style multi-step flows, we get a real compounding stack Alternative approaches for better risk-adjusted rollout: - Milestone-gated launch: start w/ read-only analytics → simulated trades → capped wallets → production agents - Open specs + audits: transparent tool registry, signed action manifests, reproducible logs - Community vaults: opt-in, rate-limited agent strategies with onchain dashboards and real accountability If @Everlyn_ai can prove safe execution at scale with clear metrics, the agent economy stops being a demo and starts being infra we can trust imo #DeFAI