Gentlity product

A reliability lifecycle for production agents.

Move from individual evaluation results to explicit objectives, governed coverage, and operational decisions—without replacing your agent or observability stack.

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Gentlity / Operations
Gentlity operations overview showing reliability, coverage, evidence sufficiency and a deployment decision
Sanitized operations overview using synthetic data.

Reliability lifecycle

Define. Measure. Understand. Govern. Decide.

Each stage answers a different operational question. Gentlity preserves those distinctions so a green metric cannot hide missing evidence or uncovered behavior.

01
Define

Set explicit objectives

Describe the indicators, targets, and meaningful agent journeys that matter to your system.

02
Measure

Keep evidence honest

Measure outcomes over time while preserving provenance and the distinction between reliability and measurement health.

03
Understand coverage

See what the number includes

Identify material behaviors that are governed, partially covered, or still unmeasured.

04
Govern

Apply operational policy

Connect SLO state, error-budget burn, evidence health, and coverage to explicit reliability policy.

05
Decide

Record an explainable result

Produce an auditable ALLOW, WARN, or BLOCK decision for a delivery workflow to consume.

Reliability objectives

Make the target explicit.

Define indicator-specific SLOs, examine the current reliability ratio, and understand remaining error budget and burn rate without averaging unlike objectives together.

  • Revisioned reliability objectives
  • Exact evidence counts
  • Error budget and burn-rate state
  • Historical, time-windowed analysis
Gentlity / Operations
Gentlity reliability view showing an objective, error budget and evidence counts
Gentlity / Operations
Gentlity journey coverage view showing governed behaviors and a critical gap

Behavioral coverage

Know which behaviors are governed.

Reliability evidence is only useful when its coverage is visible. Declared journeys, structural observations, required indicators, and critical gaps remain explicit.

  • Material journey inventory
  • Explicit coverage denominator
  • Unclassified structural behavior
  • Critical governance gaps

Deployment assurance

Give delivery workflows an evidence-backed decision.

Gentlity evaluates configured conditions and records the resulting ALLOW, WARN, or BLOCK decision with reasons, timestamps, and evidence knowledge. Your CI/CD system remains in control of enforcement.

ALLOWWARNBLOCK
Gentlity / Operations
Gentlity deployment decision view showing a recorded block decision and its reasons

Built for production AI systems

Serious operational foundations.

Vendor-neutral

Works above the agent, evaluator, and observability choices your team already made.

Auditable

Recorded decisions preserve their reasons and time context for later review.

Deterministic

Policy evaluation returns typed outcomes from explicit configured conditions.

Time-aware

Analyze reliability for selected periods and evidence knowledge without rewriting history.

Privacy-conscious

Core reliability evidence is structural; raw prompts and responses are not required.

Delivery-ready

Deployment decisions can be consumed by CI/CD workflows without Gentlity owning them.

Early access

Bring reliability discipline to your agent stack.

We are working with teams running AI agents in production.

Request Early Access