Trust Infrastructure for AI Agents in Real-World Operations
Netsujo is working to increase the amount of real work that teams can safely delegate to AI agents. The long-term direction is trust infrastructure that makes authority explicit, evidence verifiable, and interrupted work recoverable.
Netsujo Agent OS is internal R&D with documented internal operating cases, not a finished commercial package. Current runtime activation or continuous live operation must be evidenced separately; this page does not imply either. Public claims are limited to what can be reproduced or evidenced for the specific component and environment being discussed.
Three operating principles
- Explicit authority
- Make the requester, executor, allowed scope, review boundary, and human-only decisions explicit instead of relying on prompt text or team memory.
- Verifiable evidence
- Bind review and acceptance to the subject that was actually checked. A green check on an older candidate must not silently authorize a newer one.
- Recoverable operations
- After interruption, reconstruct current state and distinguish completed, pending, and outcome-uncertain work before deciding whether execution may continue.
What Netsujo tests internally
- Reconstruct current state from GitHub, pull requests, CI, and other live evidence instead of treating chat history as the only task ledger.
- Avoid overlapping writers by making ownership, scope, and the current candidate explicit.
- Separate implementation from independent QC and bind acceptance evidence to an exact candidate.
- Stop progression when required evidence is missing or a material review finding remains open.
- Recover from interrupted sessions by reading current state before retrying work.
These internal operating lessons are the evidence source for the broader trust-infrastructure direction. Internal implementation, runtime activation, external adoption, and commercial acceptance remain separate milestones.
Start with the public, narrow component
Agent Role Contracts is the public starting point. It checks declared roles, task scope, review separation, and handoffs. Preview APIs also cover selected task/action binding and lifecycle declarations. A PASS checks declaration consistency; it does not grant runtime permission, authenticate an executor, or prove that a real-world side effect was prevented.
Try Agent Role ContractsUse the public OSS to test whether one existing workflow can express its role, scope, review, and handoff assumptions clearly.
Evaluate one real workflow
The first commercial question is not whether a team wants a new Agent OS. It is whether one recurring workflow has enough rechecking, authority ambiguity, stale evidence, or recovery burden that an additional trust layer creates net value alongside the controls the team already uses.
| Evaluate | Ask |
|---|---|
| Authority | Who may make this change, to which resource, and under which constraints? |
| Evidence | What exact subject was reviewed, approved, and accepted? |
| Recovery | What happens when execution stops after an external action may already have occurred? |
| Net benefit | Does the added control reduce more human rechecking and recovery work than it adds in setup and maintenance? |
Read the AI Development and Operations GuideSee the operating model behind state, authority, evidence, independent QC, recovery, deployment, and production verification.
Bring one recurring workflow, one recent failure or recheck burden, and the controls you already use. We will start from those facts rather than from a request to replace your stack.
Evaluate one workflow with Netsujo