“Give the agent $100” is not a risk policy. A real funding policy needs dimensions. PredictClaw’s Vault overlay can now express constraints such as: Per transaction How much can move at once? Per window How much can move cumulatively? Time When does the budget reset? This is where agent capital starts becoming programmable.

Keep the identity. Upgrade the control plane. 💢

Still on the road. Still moving.

From there, users can choose the workflow they actually need: → read-only → EOA → Predict Account → Predict Account + Vault

…anyway, back to building.

We don’t want ERC-8192 to become a Tabi-specific execution framework. The goal is a minimal, composable execution primitive. Three questions we’re actively pressure-testing: 1. Is the Core / Extension boundary right? 2. Is fund-and-action generic enough? 3. Is the Base execution model clear enough for builders? Builders: break the abstraction. That’s how standards get better.

Bears don’t kill projects. They kill weak conviction.

Good agent infrastructure is defined as much by what it refuses to execute as what it allows. ERC-8192 currently enforces controls including: → signed mandates → nonce / replay protection → adapter allowlists → single-execution drawdown limits → cumulative drawdown limits → mandate revocation → no arbitrary native-value forwarding Failing closed is a feature.

Moving from architecture diagrams to executable infrastructure. 💢

ERC-8192 is moving beyond the proposal stage. The public stack now includes: → Reference implementation → SDK + MCP tooling → Agent-facing execution surface → BSC developer path → Base mainnet execution path The goal was never another agent narrative. It was an execution primitive builders can actually use. More below. 🧵

Same moon. Same world. Better together. Happy Mid-Autumn Festival. 🌕

More capable agents create a new infrastructure problem: Capability ≠ Permission. An agent being able to do something doesn't mean it should be allowed to do it. The future of Consumer AI needs: → explicit permissions → bounded execution → auditable actions → verifiable settlement Power needs boundaries.

→ Reduced redundant runtime logs → Improved service startup status feedback → Clearer visibility into node behavior Tested. Shipped. Less noise. More signal. Keep building.

AI already knows what you want. The next frontier is whether it can actually do it. Discover. Decide. Pay. Execute. Settle. All within the boundaries you define. Consumer AI needs more than intelligence. It needs an execution layer.

CLARITY Act: 50-49 Me：👇👇👇

Agents are about to get their own money. But money alone isn’t enough. They still need modular, onchain infrastructure for identity, permissions, execution and settlement.

Tabi V3 is becoming easier to operate, easier to monitor, and more production-ready.