Autonomous Agent Intelligence

Improve your
AI agents
automatically.

Rulio automates trace analysis at scale to uncover hidden patterns and failure modes. Transform raw traces into actionable intelligence for continuous agent optimization.

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Wrong Data Format

Agent sent wrong data type for user id when calling UpdateProfile.

Agent Stuck in a Loop

Agent kept oscillating between Location and Weather tools.

Token Waste Warning

Agent repeated the same lookup 4 times, wasting time and resources.

Broken Output Format

Agent produced a malformed response, causing the next step to fail.

The Manual Trace Grind

Analyzing agent traces manually is like finding a needle in a haystack. Rulio turns hours of manual debugging into seconds of insight.

× The Old Way

Drowning in logs & spreadsheets

{
  "trace_id": "tr_8f92a3b1-4d5e",
  "agent_id": "sql_analyst_v2",
  "timestamp": "2024-03-22T14:30:00Z",
  "steps": [
    {
      "step": 1,
      "tool": "verify_identity",
      "input": { "user": "admin" },
      "output": "verified",
      "latency": "120ms"
    },
    {
      "step": 2,
      "tool": "get_schema",
      "input": { "db": "prod_users" },
      "output": "{ tables: ['users', 'orders'] }",
      "latency": "450ms"
    },
    {
      "step": 3,
      "tool": "generate_sql",
      "status": "failed",
      "error": "ContextLimitExceeded: model input > 8192 tokens",
      "trace_context": {
         "previous_messages": [
            { "role": "user", "content": "Analyze cohort retention..." },
            { "role": "assistant", "content": "..." }
         ]
      }
    },
    {
      "step": 4,
      "tool": "retry_strategy",
      "input": "truncate_context",
      "output": "null",
      "note": "Manual intervention required"
    },
    
    // ... 4,500 MORE LINES OF RECURSIVE CALLS
    
    {
       "step": 156,
       "tool": "check_recursion",
       "status": "warning",
       "depth": 15
    }
  ]
}

✓ The Rulio Way

Automated analysis, ranked insights

Abnormal Latency Distribution

Detected in 'PaymentTool' (> 4.5s)

High Severity

Recursion Loop

Agent stuck in 'Search' loop

Medium Severity

Optimization Opportunity

Reduce token usage by 15%

Optimization

Beyond Simple Tracing & Monitoring

Automatic Insights Extraction

Rulio extracts metrics and insights from traces by automatically analyzing latency, token usage, tool calls, retrieval performance, user interactions, prompts, responses and many more characteristics of your agent's behavior.

latency token_count tool_recursion user_frustration context_growth

Anomaly Detection

Automatically identifies outliers and unusual behavior patterns in your traces that need attention.

Pattern Recognition

Uncovers hidden relationships between tools, prompts, and failure modes to help you optimize performance.

Actionable Deliverables

Turn insights into outcomes. Rulio builds the reports, slides, and datasets you need to ship changes.

Eval Sets

PDF Reports

Presentations

Works seamlessly with your stack

LangSmith

Langfuse

BrainTrust

Arize

HoneyHive

Helicone

Rulio In Action

Dashboard At A Glance

Drill down into specific analysis runs to see categorization, severity, and actionable insights.

Automated Custom Reports

From fix recommendations to executive summaries for any role including non-technical users.

Weekly Agent Performance Audit

Status: Action Required | Date: Mar 09, 2026

Critical Priority

Critical Latency in SearchInternalDocuments

This single tool is dominating execution time, causing unacceptable end-to-end delays for users.

Recommendation: Optimize Query and Implement Cache

Efficiency Warning

Redundant calls to BuildRepository

Your agent may not know how to use the BuildRepository tool well. It is repeatedly calling the tool with same arguments, wasting tokens with zero progress.

Fix: Update tool documentation or Add Constraints to Prompt

Logic Deadlock

Oscillating between Checks

A logical deadlock where the agent alternates between WeatherCheck and LocationCheck indefinitely.

Architecture Change: Add Assessor Step to limit iterations

User Frustration

High Friction in Weather Queries

Sentiment analysis shows negative reactions for weather lookups, indicating agent's inability to handle queries.

Fix: Add Few-Shot Examples

Turn Insights into Actionable Artifacts

Rulio does the analysis and builds the work for you.

Rulio Artifacts

PDF Report

Detailed analysis document. Sent to your email or Slack.

Executive Slide Deck

Auto-generated summaries for leadership.

Fine-Tuning Dataset

Curated traces for model improvement.

Evals

Evals implemented for your favorite framework.

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Improve your AI agentsautomatically.