For PMs & Founders

Know your agent works before your users find out it doesn't.

You've shipped the agent. It looked great in the demo. But you have no dashboard telling you how it's performing in production, and no way to know if last week's prompt update made it better or worse. Halios gives you that visibility.

Agent quality score

87/100

STABLE
Goal Completion92% PASS
Tool Call Accuracy88% PASS
Safety Guardrails74% FAIL

The visibility problem

Your engineering team says it works.Your support team says it doesn't.Who's right?

No quality dashboard

You have analytics for your UI but no dashboard for agent quality. When users complain, you are debugging by reading logs, not looking at scores.

Vibes-based releases

Your team tests the prompt manually, it looks good, and you ship. There is no before-and-after comparison, no regression check, and no evidence it is actually better.

Reactive, not proactive

You find out about agent failures from support tickets, not from your monitoring stack. By the time you know, users have already been affected.

Your agent quality dashboard

The data you need to makeconfident release decisions.

Evaluation scores

Automated benchmarks that convert interaction quality into objective scores for every agent version.

Regression alerts

Get notified instantly when a new prompt update causes performance drift in previously working scenarios.

Release evidence

Generate comprehensive reports that prove agent stability to stakeholders before clicking 'deploy'.

Failure analysis

Visual breakdowns of exactly where logic broke down, without having to parse raw JSON logs.

Trend lines

Monitor agent reliability over time to ensure that product improvements are actually moving the needle.

Built for product people

You don't need to read tracesto understand what's broken.

Halios translates complex LLM traces into human-readable interaction summaries. We highlight the exact moment an agent lost the context or hallucinated a tool call.

  • Overall score for agent reliability this week
  • Dimension breakdown across six evaluation dimensions
  • Worst interactions with a human-readable failure summary
  • Recommended actions for prompt, policy, or escalation changes

Agent Reliability Report

Illustrative report view
Context Retention96%
Logical Consistency84%
Constraint Adherence62%

Worst interaction summary

The agent failed to follow the required escalation path. The report highlights the interaction, explains what went wrong, and shows what to fix before the next release.

Stop shipping based on vibes.

We'll run the Halios evaluation loop on your agent and show you the quality data you've been missing. No engineering setup required on your side.