Jul 10, 2025
Introducing Galileo's Insights Engine: Intelligence That Adapts to Your Agent
Conor Bronsdon
Head of Developer Awareness
Conor Bronsdon
Head of Developer Awareness
Multi-agent systems have fundamentally changed how we build AI applications. But debugging isn't scaling for these complex systems. Traditional evaluation tools were built for simpler AI systems. They show you what happened, but they can't effectively measure dynamic agent behavior, understand multi-agent interactions, or tell you how to fix issues.
When your agent fails, you shouldn't have to become a detective. You need an evaluation system that understands your specific workflow patterns and provides immediate, actionable guidance.
Today, we're excited to introduce our Insights Engine—the first evaluation platform that moves from static evaluation to automatic failure identification, surfacing actionable insights and improvements directly on your dashboard.
Adaptive Insights Intelligence
Galileo's Insights Engine represents a fundamental shift from reactive debugging to proactive intelligence. Here's what makes it different:
Instant Failure Mode Identification
Our Insights Engine analyzes your agent logs using advanced reasoning models for instant failure mode identification. It automatically combines trace data with our comprehensive knowledge base to identify problems, their root causes, and solutions.
Actionable Root Cause Analysis
Traditional tools simply flag problems; our Insights Engine provides specific recommendations for improvement. Click directly from an insight to the exact span, trace, or component that needs attention. No more detective work required.
Adaptive Learning
The engine learns from your specific agent patterns and workflows, providing increasingly relevant recommendations over time. What works for your travel booking agent differs from what works for your customer support bot, and our insights adapt accordingly. Plus, provide human feedback to further tune the insights to your needs.
Intuitive Failure Mode Categorization
Get immediate visibility into agent health without spending hours deconstructing tables and complex trace trees. Critical insights surface automatically on your homepage with clear categorization:
🔴 Errors: Critical failures requiring immediate attention
⚠️ Warnings: Potential issues to monitor
💡 Suggestions: Optimization opportunities
⚡ Enhancements: Performance improvements
Debugging Built for Multi-Agent Complexity
Multi-agent systems don't just follow simple, linear paths. Our Insights Engine is purpose-built for this complexity:
Root cause analysis: Spot nuanced errors and their exact trace, even in complex multi-agent systems
Multi-agent coordination: Understand how agents interact and where handoffs fail
Tool usage optimization: Identify inefficient tool selection and usage patterns
Conversation flow analysis: Track intent changes and conversation drift
Performance optimization: Surface latency bottlenecks and cost optimization opportunities
The Insights Engine automatically surfaces issues like "Complete Response Failure" and "Agent Data Mislabeling," providing specific observations, suggested actions, and direct navigation to problematic components. From there, you can easily implement improvements, whether that's adjusting prompts, fixing tool configurations, or optimizing agent coordination.
How It Works
Leveraging the underlying data layer of your Galileo traces, logs and metrics, the Insights Engine combines several advanced capabilities:
Reasoning Model Analysis: Advanced language models analyze trace patterns, tool usage, and failure modes
Knowledge Integration: Combines your data with Galileo's extensive evaluation knowledge base
Pattern Recognition: Identifies recurring issues and optimization opportunities across sessions
Contextual Adaptation: Learns your specific agent architectures and use cases
Getting insights requires no additional setup—the engine automatically analyzes any traces logged to Galileo.
Real-World Impact
Early customers are already seeing dramatic improvements:
10x faster development cycles through proactive failure mode identification
Proactive next-best-action recommendations that prevent issues before they impact users
Automatic pattern recognition across thousands of agent executions
As Vinnie Giarrusso at Twilio puts it: "Like a head chef who can step in to remake a dish or explain why certain ingredients work better than others, Galileo helps us understand our system's behavior and make improvements. The platform gives us both the visibility and the insights we need to optimize our AI systems."
Getting Started
The Insights Engine is available now for all Galileo users. Simply navigate to your Log Stream Homepage to see your personalized insights dashboard. The engine immediately begins providing value, with insights becoming more targeted as it learns your patterns. Soon, it will fuel self-evolving evaluation agents to solve your problems while you sleep.
Ready to move beyond static evaluation metrics? Try Galileo's Insights Engine →
Questions about implementation or want to see a demo? Contact our team
Watch the demo
Multi-agent systems have fundamentally changed how we build AI applications. But debugging isn't scaling for these complex systems. Traditional evaluation tools were built for simpler AI systems. They show you what happened, but they can't effectively measure dynamic agent behavior, understand multi-agent interactions, or tell you how to fix issues.
When your agent fails, you shouldn't have to become a detective. You need an evaluation system that understands your specific workflow patterns and provides immediate, actionable guidance.
Today, we're excited to introduce our Insights Engine—the first evaluation platform that moves from static evaluation to automatic failure identification, surfacing actionable insights and improvements directly on your dashboard.
Adaptive Insights Intelligence
Galileo's Insights Engine represents a fundamental shift from reactive debugging to proactive intelligence. Here's what makes it different:
Instant Failure Mode Identification
Our Insights Engine analyzes your agent logs using advanced reasoning models for instant failure mode identification. It automatically combines trace data with our comprehensive knowledge base to identify problems, their root causes, and solutions.
Actionable Root Cause Analysis
Traditional tools simply flag problems; our Insights Engine provides specific recommendations for improvement. Click directly from an insight to the exact span, trace, or component that needs attention. No more detective work required.
Adaptive Learning
The engine learns from your specific agent patterns and workflows, providing increasingly relevant recommendations over time. What works for your travel booking agent differs from what works for your customer support bot, and our insights adapt accordingly. Plus, provide human feedback to further tune the insights to your needs.
Intuitive Failure Mode Categorization
Get immediate visibility into agent health without spending hours deconstructing tables and complex trace trees. Critical insights surface automatically on your homepage with clear categorization:
🔴 Errors: Critical failures requiring immediate attention
⚠️ Warnings: Potential issues to monitor
💡 Suggestions: Optimization opportunities
⚡ Enhancements: Performance improvements
Debugging Built for Multi-Agent Complexity
Multi-agent systems don't just follow simple, linear paths. Our Insights Engine is purpose-built for this complexity:
Root cause analysis: Spot nuanced errors and their exact trace, even in complex multi-agent systems
Multi-agent coordination: Understand how agents interact and where handoffs fail
Tool usage optimization: Identify inefficient tool selection and usage patterns
Conversation flow analysis: Track intent changes and conversation drift
Performance optimization: Surface latency bottlenecks and cost optimization opportunities
The Insights Engine automatically surfaces issues like "Complete Response Failure" and "Agent Data Mislabeling," providing specific observations, suggested actions, and direct navigation to problematic components. From there, you can easily implement improvements, whether that's adjusting prompts, fixing tool configurations, or optimizing agent coordination.
How It Works
Leveraging the underlying data layer of your Galileo traces, logs and metrics, the Insights Engine combines several advanced capabilities:
Reasoning Model Analysis: Advanced language models analyze trace patterns, tool usage, and failure modes
Knowledge Integration: Combines your data with Galileo's extensive evaluation knowledge base
Pattern Recognition: Identifies recurring issues and optimization opportunities across sessions
Contextual Adaptation: Learns your specific agent architectures and use cases
Getting insights requires no additional setup—the engine automatically analyzes any traces logged to Galileo.
Real-World Impact
Early customers are already seeing dramatic improvements:
10x faster development cycles through proactive failure mode identification
Proactive next-best-action recommendations that prevent issues before they impact users
Automatic pattern recognition across thousands of agent executions
As Vinnie Giarrusso at Twilio puts it: "Like a head chef who can step in to remake a dish or explain why certain ingredients work better than others, Galileo helps us understand our system's behavior and make improvements. The platform gives us both the visibility and the insights we need to optimize our AI systems."
Getting Started
The Insights Engine is available now for all Galileo users. Simply navigate to your Log Stream Homepage to see your personalized insights dashboard. The engine immediately begins providing value, with insights becoming more targeted as it learns your patterns. Soon, it will fuel self-evolving evaluation agents to solve your problems while you sleep.
Ready to move beyond static evaluation metrics? Try Galileo's Insights Engine →
Questions about implementation or want to see a demo? Contact our team
Watch the demo
Multi-agent systems have fundamentally changed how we build AI applications. But debugging isn't scaling for these complex systems. Traditional evaluation tools were built for simpler AI systems. They show you what happened, but they can't effectively measure dynamic agent behavior, understand multi-agent interactions, or tell you how to fix issues.
When your agent fails, you shouldn't have to become a detective. You need an evaluation system that understands your specific workflow patterns and provides immediate, actionable guidance.
Today, we're excited to introduce our Insights Engine—the first evaluation platform that moves from static evaluation to automatic failure identification, surfacing actionable insights and improvements directly on your dashboard.
Adaptive Insights Intelligence
Galileo's Insights Engine represents a fundamental shift from reactive debugging to proactive intelligence. Here's what makes it different:
Instant Failure Mode Identification
Our Insights Engine analyzes your agent logs using advanced reasoning models for instant failure mode identification. It automatically combines trace data with our comprehensive knowledge base to identify problems, their root causes, and solutions.
Actionable Root Cause Analysis
Traditional tools simply flag problems; our Insights Engine provides specific recommendations for improvement. Click directly from an insight to the exact span, trace, or component that needs attention. No more detective work required.
Adaptive Learning
The engine learns from your specific agent patterns and workflows, providing increasingly relevant recommendations over time. What works for your travel booking agent differs from what works for your customer support bot, and our insights adapt accordingly. Plus, provide human feedback to further tune the insights to your needs.
Intuitive Failure Mode Categorization
Get immediate visibility into agent health without spending hours deconstructing tables and complex trace trees. Critical insights surface automatically on your homepage with clear categorization:
🔴 Errors: Critical failures requiring immediate attention
⚠️ Warnings: Potential issues to monitor
💡 Suggestions: Optimization opportunities
⚡ Enhancements: Performance improvements
Debugging Built for Multi-Agent Complexity
Multi-agent systems don't just follow simple, linear paths. Our Insights Engine is purpose-built for this complexity:
Root cause analysis: Spot nuanced errors and their exact trace, even in complex multi-agent systems
Multi-agent coordination: Understand how agents interact and where handoffs fail
Tool usage optimization: Identify inefficient tool selection and usage patterns
Conversation flow analysis: Track intent changes and conversation drift
Performance optimization: Surface latency bottlenecks and cost optimization opportunities
The Insights Engine automatically surfaces issues like "Complete Response Failure" and "Agent Data Mislabeling," providing specific observations, suggested actions, and direct navigation to problematic components. From there, you can easily implement improvements, whether that's adjusting prompts, fixing tool configurations, or optimizing agent coordination.
How It Works
Leveraging the underlying data layer of your Galileo traces, logs and metrics, the Insights Engine combines several advanced capabilities:
Reasoning Model Analysis: Advanced language models analyze trace patterns, tool usage, and failure modes
Knowledge Integration: Combines your data with Galileo's extensive evaluation knowledge base
Pattern Recognition: Identifies recurring issues and optimization opportunities across sessions
Contextual Adaptation: Learns your specific agent architectures and use cases
Getting insights requires no additional setup—the engine automatically analyzes any traces logged to Galileo.
Real-World Impact
Early customers are already seeing dramatic improvements:
10x faster development cycles through proactive failure mode identification
Proactive next-best-action recommendations that prevent issues before they impact users
Automatic pattern recognition across thousands of agent executions
As Vinnie Giarrusso at Twilio puts it: "Like a head chef who can step in to remake a dish or explain why certain ingredients work better than others, Galileo helps us understand our system's behavior and make improvements. The platform gives us both the visibility and the insights we need to optimize our AI systems."
Getting Started
The Insights Engine is available now for all Galileo users. Simply navigate to your Log Stream Homepage to see your personalized insights dashboard. The engine immediately begins providing value, with insights becoming more targeted as it learns your patterns. Soon, it will fuel self-evolving evaluation agents to solve your problems while you sleep.
Ready to move beyond static evaluation metrics? Try Galileo's Insights Engine →
Questions about implementation or want to see a demo? Contact our team
Watch the demo
Multi-agent systems have fundamentally changed how we build AI applications. But debugging isn't scaling for these complex systems. Traditional evaluation tools were built for simpler AI systems. They show you what happened, but they can't effectively measure dynamic agent behavior, understand multi-agent interactions, or tell you how to fix issues.
When your agent fails, you shouldn't have to become a detective. You need an evaluation system that understands your specific workflow patterns and provides immediate, actionable guidance.
Today, we're excited to introduce our Insights Engine—the first evaluation platform that moves from static evaluation to automatic failure identification, surfacing actionable insights and improvements directly on your dashboard.
Adaptive Insights Intelligence
Galileo's Insights Engine represents a fundamental shift from reactive debugging to proactive intelligence. Here's what makes it different:
Instant Failure Mode Identification
Our Insights Engine analyzes your agent logs using advanced reasoning models for instant failure mode identification. It automatically combines trace data with our comprehensive knowledge base to identify problems, their root causes, and solutions.
Actionable Root Cause Analysis
Traditional tools simply flag problems; our Insights Engine provides specific recommendations for improvement. Click directly from an insight to the exact span, trace, or component that needs attention. No more detective work required.
Adaptive Learning
The engine learns from your specific agent patterns and workflows, providing increasingly relevant recommendations over time. What works for your travel booking agent differs from what works for your customer support bot, and our insights adapt accordingly. Plus, provide human feedback to further tune the insights to your needs.
Intuitive Failure Mode Categorization
Get immediate visibility into agent health without spending hours deconstructing tables and complex trace trees. Critical insights surface automatically on your homepage with clear categorization:
🔴 Errors: Critical failures requiring immediate attention
⚠️ Warnings: Potential issues to monitor
💡 Suggestions: Optimization opportunities
⚡ Enhancements: Performance improvements
Debugging Built for Multi-Agent Complexity
Multi-agent systems don't just follow simple, linear paths. Our Insights Engine is purpose-built for this complexity:
Root cause analysis: Spot nuanced errors and their exact trace, even in complex multi-agent systems
Multi-agent coordination: Understand how agents interact and where handoffs fail
Tool usage optimization: Identify inefficient tool selection and usage patterns
Conversation flow analysis: Track intent changes and conversation drift
Performance optimization: Surface latency bottlenecks and cost optimization opportunities
The Insights Engine automatically surfaces issues like "Complete Response Failure" and "Agent Data Mislabeling," providing specific observations, suggested actions, and direct navigation to problematic components. From there, you can easily implement improvements, whether that's adjusting prompts, fixing tool configurations, or optimizing agent coordination.
How It Works
Leveraging the underlying data layer of your Galileo traces, logs and metrics, the Insights Engine combines several advanced capabilities:
Reasoning Model Analysis: Advanced language models analyze trace patterns, tool usage, and failure modes
Knowledge Integration: Combines your data with Galileo's extensive evaluation knowledge base
Pattern Recognition: Identifies recurring issues and optimization opportunities across sessions
Contextual Adaptation: Learns your specific agent architectures and use cases
Getting insights requires no additional setup—the engine automatically analyzes any traces logged to Galileo.
Real-World Impact
Early customers are already seeing dramatic improvements:
10x faster development cycles through proactive failure mode identification
Proactive next-best-action recommendations that prevent issues before they impact users
Automatic pattern recognition across thousands of agent executions
As Vinnie Giarrusso at Twilio puts it: "Like a head chef who can step in to remake a dish or explain why certain ingredients work better than others, Galileo helps us understand our system's behavior and make improvements. The platform gives us both the visibility and the insights we need to optimize our AI systems."
Getting Started
The Insights Engine is available now for all Galileo users. Simply navigate to your Log Stream Homepage to see your personalized insights dashboard. The engine immediately begins providing value, with insights becoming more targeted as it learns your patterns. Soon, it will fuel self-evolving evaluation agents to solve your problems while you sleep.
Ready to move beyond static evaluation metrics? Try Galileo's Insights Engine →
Questions about implementation or want to see a demo? Contact our team
Watch the demo
Conor Bronsdon
Conor Bronsdon
Conor Bronsdon
Conor Bronsdon