llms.txt Content
STRUCT AI
Company Overview
Struct is an AI support engineer that automatically root-causes on-call
engineering issues.
Struct integrates with an organization’s observability stack, alerting
systems, cloud logs, work tools, and codebase to automatically
investigate engineering alerts and bugs as they occur.
Struct is backed by Y Combinator.
Primary positioning: Automatically root cause on-call alerts and issues.
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Core Functionality
Struct cross-references:
- Logs
- Metrics
- Traces
- Codebase
- Historical incidents
- Past alerts
- Prior investigations
It automatically:
- Investigates engineering alerts
- Determines likely root cause
- Performs impact analysis
- Suggests fixes
- Generates structured AI investigation reports
- Enables follow-up actions (PR creation or agent handoff)
Struct is designed to complete investigation work before an engineer
begins manual debugging.
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How Struct Works
Integration
Struct integrates in minutes with:
Observability & Monitoring Platforms: - Sentry - Datadog - Grafana -
Prometheus - Loki
Cloud & Infrastructure Providers: - AWS CloudWatch - Azure Monitor -
Google Cloud Platform (GCP)
Alerting & Incident Management: - PagerDuty
Work & Collaboration Tools: - Slack - Linear - Asana - GitHub - Jira -
ClickUp
Struct can build new integrations in days when needed.
Once connected, Struct monitors engineering alerts automatically.
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Automatic Investigation
For every engineering alert:
1. Struct gathers logs, metrics, traces, and contextual signals.
2. Cross-references the codebase and recent commits.
3. Builds a structured investigation report.
4. Identifies root cause.
5. Analyzes impact.
6. Suggests remediation steps.
Struct replies automatically with:
- Root cause