TRACE focuses on system reliability, evidence-first narratives, and safe operational boundaries — not speculation, automation without accountability, or opaque control.
Modern decentralized systems are complex, distributed, and fragile.
When incidents happen: users only see symptoms, operators see partial signals, communities argue about causes, and decisions are made without shared evidence.
Most systems can emit data. Very few can produce understanding.
TRACE continuously records system behavior and transforms it into observable system states, interpretable signals and timelines, verifiable post-incident narratives, and operational runbooks that humans can trust.
Instead of dashboards that require expert interpretation, TRACE emphasizes clarity, responsibility, and explainability.
- Observable system state
- Interpretable signals and timelines
- Verifiable post-incident narratives
- Human-trustable runbooks
TRACE is built on principles that cannot be compromised.
- Evidence-First — All narratives must be grounded in verifiable system signals. No assumptions. No unverifiable claims.
- AI Observes, Humans Decide — AI in TRACE is read-only by design. It does not hold private keys, sign transactions, execute governance actions, or change system state autonomously. AI exists to observe, explain, and assist human judgment — nothing more.
- Degradation Over Collapse — Systems should not fail catastrophically. TRACE enforces explicit operational modes: normal, degraded, off. This allows systems to slow down, restrict, or pause safely instead of breaking silently or unpredictably.
TRACE is not “AI-powered” as a feature layer. AI is treated as a first-class system component: designed into the architecture, constrained by explicit boundaries, accountable through evidence.
This makes TRACE interpretable not only to humans, but also to other AI systems that consume its outputs.
TRACE is currently in early-stage public development.
The system already exposes: live system vitals (head, peers, latency, age), explicit operational modes, and read-only observation pipelines.
Additional modules are iterated in public, with correctness and safety prioritized over speed.
- 適用：Decentralized infrastructure operators
- 適用：Protocol teams
- 適用：Researchers
- 適用：Regulators
- 適用：Any system where accountability matters
- 不適用：Speculative trading
- 不適用：Automated financial control
- 不適用：Opaque decision-making systems
TRACE is built and operated by an infrastructure engineer with hands-on experience designing and running real-world decentralized systems.
This project exists both as a production system and a living demonstration of how AI-native infrastructure should be built responsibly.
TRACE is open to technical collaboration, research discussion, and infrastructure-focused roles.
Open to Solutions Engineer / Customer Engineer roles (Canada / Remote).