Critic / Linter Agent

Every AI answer,
checked before it ships.

An agent or a user can produce an output that looks right and isn't. Critic / Linter Agent reviews it against your system's rules and RBAC entitlements — rejecting or correcting anything that hallucinates or violates policy. A firewall agent for AI output.

Output Review RBAC Enforcement
Output Review

A second pass,
before anything ships

Before an agent's output reaches a user or a downstream system, Critic / Linter Agent reviews it against a defined rule set — factual claims checked against source data, formatting checked against the required schema.

  • Checks factual claims in an output against the source data it was built from
  • Validates output format and structure against what the downstream step expects
  • Runs as a standard review step on any agent's output, not just one specific agent
  • Configurable strictness — some workflows need a hard block, others just a warning
See It in TotalApp
totalapp.app / re
Output Review
1 Agent output cites a discount rate not present in source data
Rejected — unsupported claim, sent back for correction
The output never reached the user in its original form.
Live in TotalApp
RBAC Enforcement

Permission checks,
not just fact checks

Beyond factual accuracy, the agent enforces your role-based access rules on every output — blocking a response that would leak data the requesting user isn't entitled to see, even if the underlying agent tried to include it.

  • Cross-checks output content against the requesting user's actual RBAC entitlements
  • Blocks or redacts anything the user isn't permitted to access, before delivery
  • Works identically across every agent and screen — one shared policy layer
  • Every rejection or correction is logged for compliance review
See It in TotalApp
totalapp.app / en
RBAC Guardrail
Response included salary data — user lacks HR-Confidential role
Redacted field removed — response re-issued and delivered
One shared policy layer — enforced identically everywhere.
Live in TotalApp
Why It Matters

A firewall for AI output

Every answer passes through one shared guardrail before it reaches a person or a system.

Fact-Checks Against Source

Flags claims in an output that aren't backed by the data it was supposedly built from.

RBAC-Aware Redaction

Blocks or redacts output content the requesting user isn't entitled to see.

Schema & Format Checks

Validates that output structure matches what the next step in the pipeline expects.

Full Rejection Log

Every block or correction is logged — a complete audit trail of what was caught and why.