A local simulation for consequential automation
Turn intent into code you can inspect before it acts.
Define a workflow, set the boundaries, compile an illustrative contract, and rehearse the monitoring path. Nothing connects to a wallet or chain.
No walletNo RPC callsNo value transferVisible policy
Build the boundary before the behavior.
Intent compiler
Local simulation
Generated artifact
Illustrative code. Not audited or deployment-ready.
Risk18/100
IntentExecutor.sol
execution-manifest.json
IntentExecutor.t.sol
Bounded by default.Simulation, approval, allowlist, and pause controls are active.
Execution rehearsal
Trace the policy path with synthetic events.
Ready
Compile or run the safe default plan.
0 / 6 checksFailure posture
Reject unknown targets, repeated events, expired approvals, and runs above the configured cap.
Portable evidence
Export the plan, assumptions, tests, and synthetic event log. No secrets or wallet data.
Four useful starting points
Automate the narrow decision, not the entire world.
Each scenario starts with a different trigger but shares the same rule: bounded authority, visible evidence, and an exit path.
Release only after signed milestone evidence.
Reject duplicate proofs, cap each run, and route disputed evidence to human review.
Queue approved actions through a time lock.
Check proposal state, execution window, target allowlist, and emergency pause authority.
Mint only against verified off-chain state.
Bind signed inventory attestations to replay protection and strict quantity ceilings.
Extend access when service evidence is current.
Use expiry windows, bounded renewal periods, revocation checks, and explicit approvals.
The intelligence layer is the boundary layer.
Intent is not authority. Generated code is not audited code. A successful simulation is not production evidence. Every consequential automation still needs chain-specific testing, independent review, monitoring, incident response, and a practiced stop path.
Minimize what the executor can do.
Separate proposer, approver, executor, and pauser roles. Keep targets and function selectors explicit.
Make every decision reproducible.
Emit intent hashes, policy versions, approval references, and reason codes without leaking secrets.
Design the stop path before launch.
Test pause, revocation, queue draining, rollback alternatives, and stakeholder escalation.
Watch policy and environment changes.
Alert on repeated failures, stale oracles, role changes, abnormal volume, and configuration divergence.
Preflight review
Challenge the plan from more than one seat.
01 / 04
No chain. No transaction. Real questions.
Leave with a plan worth reviewing.
This lab produces illustrative code and synthetic execution evidence. It does not replace an audit, formal verification, legal review, or production monitoring.
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