22 Signals

Real-Time AI Agent Observability Platform

Monitor, verify, and debug your production AI agents with live progress streams, outcome verification, and context window alerts.

Added May 12, 2026

Developer Tools

AI Infrastructure

Observability

Opportunity Score

Opportunity: Medium (59%)

Evidence Strength

Vol: 6%

Urg: 55%

Spec: 55%

Market Analysis

low

$ high

500K developers running production AI agents

The Problem

Developers running AI agents in production struggle with silent failures where agents log success but the actual outcome never happens, context windows bloat causing quiet output degradation, and on-call experiences that don't fit traditional sysadmin patterns. Existing logging and monitoring tools weren't built for the non-deterministic nature of LLM-based agents.

Potential Solution

A unified observability platform that surfaces live agent activity, progress, blockers, and decisions in real time across all running agents. It adds a verification layer that confirms actual outcomes occurred (not just tool-call success), tracks context window usage with proactive alerts before degradation, and provides on-call alerting tuned for agent-specific failure modes.

Why Now?

Production deployments of Claude Code, Codex, and custom agents have exploded in 2025-2026, but tooling for observing and verifying their behavior is years behind traditional APM. Teams running 50M+ tokens/month need agent-native monitoring before the next outage.

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