01 / Specification
Define the system
Document users, task types, threat models, data rights, service terms, and whether a token is necessary.
Exit criterion
Publish a reviewable specification and measurable acceptance criteria.
Development roadmap
Progress through evidence, review, and controlled implementation.
Development proposalThe architecture, applications, and token model describe planned research. Production deployment, security audits, and token issuance have not been verified for this publication.
Milestones, not price targets
The stages below are proposed gates. They do not claim completed work, committed launch dates, future revenue, or token appreciation.
02 / Prototype
Test the complete workflow
Build one controlled off-chain AI workflow connected to test-network contracts. Test rejection, cancellation, and refund paths.
Exit criterion
Release reproducible results, code review findings, and known limitations.
03 / Supervised pilots
Validate practical use
Trial selected applications with consenting participants. Measure quality, cost, latency, privacy, and incident handling.
Exit criterion
Meet disclosed service thresholds and resolve material security findings.
04 / Release review
Decide whether to launch
Review operations, independent security assessment, legal requirements, and any proposed token economics.
Exit criterion
Publish final parameters and verified addresses before any production launch.
Measure the system that users experience
AI service quality
Task success, false acceptance, reproducibility, uncertainty, and the frequency of required human review.
Operational performance
Completion rate, p50/p95 latency, cost per accepted task, dispute resolution, and incident recovery.
Network resilience
Provider concentration, failure recovery, contract invariants, administrative controls, and critical dependencies.
Security and governance are release work
Document upgrade powers, treasury permissions, review responsibilities, and emergency procedures. Independent assessment adds evidence; it is not a guarantee that a system is risk-free.
Build with AIC
Discuss AI research, blockchain engineering, a supervised pilot, or a technical collaboration. Describe your use case and the evidence needed to evaluate it.
