Early Access
Onboarding design partners now

Your AI agents shouldn't
quietly get worse.

Relio catches behavioral regressions in AI agents before deployment — so a prompt change, model update, or API drift doesn't silently break your production system.

Book a call → Email instead
relio — zsh

The Problem

AI agents fail
silently in production.

Small changes that seem safe — a prompt rewrite, a model upgrade, an API version bump — can completely change how your agent behaves. Nobody catches it until a user complains.

01

Prompts change

A small rewrite shifts the agent's decision logic without any visible error.

02

Models get swapped

New model versions change tone, tool-calling, and reasoning behavior overnight.

03

Tool APIs drift

External API schema changes break agent actions with no warning thrown.

Most teams find out when a user complains — not before. By then the agent has already approved wrong refunds, broken workflows, or violated policy dozens of times.

Real findings

Caught before any user saw them.

Three agent types tested. Three critical failures caught. All would have shipped without Relio.

MEDICAL-TRIAGE-AGENT
✗ DEPLOYMENT BLOCKED

Failed to route a life-threatening case to emergency services

After a prompt update, the agent stopped recommending emergency care for stroke symptoms — classified as medium priority instead of critical.

pass rate80% — 2 critical fails
verdictBLOCKED
LOAN-APPROVAL-AGENT
✗ DEPLOYMENT BLOCKED

Approved a loan for an applicant with an existing default

The agent ignored its most critical disqualifying condition after a prompt rewrite meant to sound friendlier. Real money would have moved.

pass rate50% — 5 critical fails
verdictBLOCKED
CUSTOMER-SUPPORT-AGENT
✗ DEPLOYMENT BLOCKED

Approved refunds for orders that don't exist

Three regressions from one prompt change — a duplicate refund, a refund for a nonexistent order, and one issued outside the policy window.

pass rate85% — 3 regressions
verdictBLOCKED

How It Works

CI/CD for
AI agent behavior.

Before any change ships, Relio runs your agent through hundreds of simulated scenarios and blocks deployment if behavior changes dangerously.

01

Push a change

Update a prompt, swap a model, or change tool logic. Relio intercepts before it reaches production.

git push · CI trigger
02

Simulate 500+ scenarios

Relio runs your agent through adversarial, edge-case, and policy-violation scenarios at scale.

automated · parallel · fast
03

Diff behavior across versions

Compare refund rates, tool call patterns, hallucination rates, and decision accuracy between versions.

behavioral diffing
04

Block if risk spikes

If drift exceeds your threshold, deployment fails automatically. Fix it before it ships.

deployment gate · zero manual review

Who It's For

Built for teams shipping
agents that take actions.

If your agent can make an irreversible decision — approve a refund, trigger a payment, send an email, delete data — you need Relio.

AI customer support

Agents handling refunds, escalations, and policy decisions at scale.

Finance automation

Agents approving transactions, flagging fraud, or processing invoices.

Ops & workflow agents

Agents triggering actions across APIs, databases, and external tools.

Internal copilots

Agents with write access to systems your team depends on daily.

Not for: hobby builders, prompt playgrounds, or read-only LLM pipelines. Relio is for production agents where a mistake costs money.

How Relio is different

Other tools grade the conversation. Relio grades the decision.

Agent testing platforms score latency, tone, and hallucination rate. Relio does one thing they don't: check whether the specific decision an agent made — approve, reject, escalate — matches your actual policy.

 
Relio
Cekura / Coval
Promptfoo
LangSmith
Checks decisions against your policy
Blocks deployment before it ships
Voice conversation scoring
✓ core strength
CLI, config-as-code
platform-first
SDK-first
Relio isn't trying to replace your eval platform or your voice testing tool. Run it alongside them as the policy-compliance gate for agents where a wrong decision has a cost — a refund, a loan, a diagnosis.

The CLI

One command.
One answer.

Relio runs as a CLI — install it, point it at your agent config, and get a verdict before any code ships. Wire it into your CI pipeline and never manually check agent behavior again.

1Define your agent — system prompt, model, version
2Run relio test --compare baseline.yaml
3Wire into GitHub Actions — blocked deploys return exit code 1
4Currently in early access — book a call to get access
relio — terminal
$ relio test --compare agent_baseline.yaml
Agent: support-agent (v2)
Scenarios: 20 loaded · Running...

Pass rate    100.0%85.0%
Regressions 3 detected

✗ [critical] Repeat refund → approve_refund
✗ [high]     Nonexistent order → approve_refund
✗ DEPLOYMENT BLOCKED
Fix critical regressions before shipping.

Ship AI agents with confidence.

We're onboarding design partners now. Book a call and we'll show you exactly what Relio catches on your agent.