Autonomous Proof-to-Settlement Demo
Ghost_Pilot_MD · x · 2026-07-14
This demo, named GoalOS MASTERCLASS, focuses not on "what a model can say," but on "what an institution can verify." It showcases a fully autonomous, offline proof-to-settlement process: from goals, task contracts, escrow, and agent allocation to proof packages, independent verification, settlement, memory archiving, and a canary process for a second task.
The demo highlights auditable, verifiable, deterministic agent execution:
- 46 ABI encoding calls
- Precise function selectors, calldata, events, and state transitions
- A validator quorum with dissent retention
- bond / slashing / wei-level settlement reconciliation
- Permission gates, rollback conditions, and a dedicated Revert Lab
It relies on no wallets, RPCs, or actual asset transfers. The goal is to ensure every step can answer: which function executed, why it was permitted, and what it changed.
More from coding & agent
- AI agents are starting to strain code hosting platforms — craigsdennis · 2026-07-21
- Async OPD distillation doubles throughput while matching synchronous math accuracy — _lewtun · 2026-07-21
- Omnigent 0.6.0 adds Claude Code imports, Slack approvals and desktop apps — matei_zaharia · 2026-07-21
- Google appears to have quietly shipped Gemini 3.6 Flash, with lower pricing and better agentic scores — xiaohu · 2026-07-21
- Open-source CLI audits AI tools, MCP configs, and agent skills on local machines — Initial-Copy332 · 2026-07-21
- Coding agents feel less stressful when the 5-hour limits are temporarily removed — iamrobotbear · 2026-07-21