Backprompter vs Nano

Build AI agents from plain-language prompts, test them with mock users and scored evaluations, then deploy as a chat app, embed, or API, no backend, database, or secrets...

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 Backprompter

Build AI agents from plain-language prompts, test them with mock users and scored evaluations, then deploy as a chat app, embed, or API, no backend, database, or secrets to run. Build, test, and ship AI agents, no backend code. A complete workspace to create AI agents from system prompts, chat with and evaluate them, then deploy a polished chat UI for your users, with API access, RAG, voice, and Stripe billing built in.

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.