A team that can't reconstruct what its agents did is a team that can't trust them. The single source of truth — one Rust server, one log — is what makes five coding agents accountable.
Trust in agents comes from reconstructability. If you can read what an agent did, when, and why, you can trust it; if you can't, you're trusting a black box with your codebase. The single source of truth is the substrate of that trust.
First Principles: What a Source of Truth Is
Strip it down: a source of truth is one place where every session, every decision, every action across every agent is logged and queryable. Not five logs in five tools — one log, in one server, that every agent reports to.
- Every session, every agent.
- Every decision and action.
- One log, queryable.
The Trust Argument
Trust is built on the ability to reconstruct. One Rust server as the source of truth means a team can answer "what did the agents do?" from one log — not by correlating five tools. That's the difference between operating agents and fearing them.
Why It Has to Be One
Five logs in five tools are not a source of truth — they're five sources of confusion. The first incident that requires correlation across agents exposes the gap: the team spends the incident reconstructing what happened instead of fixing it.
What NEST Ships
NEST is one Rust server as the single source of truth — a CLI and a React PWA over it, five coding agents wired to it. Every session accountable to one log; voice drives them all from one console. The same control plane FACTA runs on its own agents, with real Rust server and legal-signoff security.
Conclusion
The single source of truth is the asset that makes five coding agents trustworthy. One Rust server, one log, every agent accountable — and the team operates its agents instead of fearing them.
About FACTA
FACTA helps startups and growth-stage teams turn AI into production systems that keep running — not demos that impress once.
We design the architecture around the parts that actually break under real usage: tooling you own, credentials you control, failover, cost controls, observability. The boring infrastructure that keeps a system alive after launch.
Led by Matías Baglieri and Carolina Fogliato, we focus on one thing:
AI leadership that builds. Not just advises.
Ask us how you'd reconstruct what your coding agents did yesterday.
We'll tell you what one log would replace. See the control plane for the design.
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