Most AI can read code. Few can diagnose why it broke at 3 AM. We train language models to troubleshoot real software failures—reading logs, tracing dependencies, and finding root causes the way a senior engineer would.
Six core competencies that turn a code-reading LLM into a production-grade troubleshooter.
Agents learn to trace errors back to their origin—not just treating symptoms, but identifying the actual failure point in complex systems.
Trained to understand how services connect, which downstream systems are affected, and where a single change can cascade into failures.
Reads through thousands of log lines and stack traces to surface the signal buried in noise—no more scrolling through walls of text.
Follows existing runbooks step-by-step, adapts when conditions differ, and knows when a runbook is outdated or insufficient.
Understands the difference between staging and production, respects permissions boundaries, and never runs destructive commands without confirmation.
Accurately triages incidents by impact and urgency. Distinguishes a degraded endpoint from a full outage—and responds proportionally.
A four-phase program that takes your AI from "reads stack traces" to "resolves incidents."
We map your architecture, dependencies, deployment pipelines, and historical incident data to build a contextual foundation for training.
We construct realistic failure scenarios—misconfigured deploys, memory leaks, race conditions, third-party outages—drawn from your actual incident history.
Your AI troubleshoots each scenario end-to-end: reading logs, forming hypotheses, testing them, and arriving at verified root causes.
The agent shadows your on-call team first, then handles L1 incidents autonomously, with human review on every resolution until trust is established.
Time to Triage
From alert to categorized incident with initial hypothesis
Auto-Resolved
L1 incidents handled without human intervention
MTTR Reduction
Faster mean-time-to-resolution across all severities
Rogue Commands
Zero unauthorized actions in production environments
The gap between a generic code assistant and an EleveryAI-trained troubleshooter.
We're building the training program that turns AI into reliable on-call engineers. Join the waitlist to get early access.
Join the Waitlist