An AI vs Nano

Capture real user feedback with screenshots, DOM, and console context your coding agent can act on.

An AI-native security and observability platform for cloud, local, hybrid, and air-gapped teams. Sub-second search, detection engineering, OpenTelemetry, pivt AI, and...

About An AI

Capture real user feedback with screenshots, DOM, and console context your coding agent can act on. No feedback Shipped work waits here until it is released. A screenshot, DOM snapshot, and console log are auto-captured in the background. The Skill gives your agent the workflow; MCP and the CLI provide feedback data and status actions. Then run /makethisbetter pick to inspect the original evidence, claim the feedback, and start the fix (right) . The widget lets them report the problem on the spot, and your agent takes over.

About Nano

An AI-native security and observability platform for cloud, local, hybrid, and air-gapped teams. Sub-second search, detection engineering, OpenTelemetry, pivt AI, and deployment control in one place. Run nano in the cloud, locally, hybrid, or air-gapped. nano was built from scratch, not refactored: a dedicated cluster, one query language over your security and OpenTelemetry data, agentic investigation, and deployment options from cloud to air-gapped. So when a service slows down, "is this an outage or a breach?" is one query, not two tools and a guess.