When an AI agent breaks in production, Tracely freezes that exact run into a replayable regression test and blocks the pull request that would ship the bug again. Span soup hides the failure. OTLP/HTTP traces group into conversation threads, and a waterfall marks the failing span in red with its input and output. Nobody knows if an answer was good. Evaluators sit as columns on the trace table, mixing model-free checks with LLM judges at conversation, run, or span level. Thirty-one broken runs, one issue. Clustering turns them into a single counted issue and can suggest the evaluator that would have caught it. A fix nobody can prove. One click promotes a failing trace into a hermetic case with recorded fixtures and a fail-to-pass contract, and scenarios send a red-team model after an adversarial goal. Model bills on every CI run. The suite replays offline with no API keys and no model spend, and tracely gate posts a commit status, comments on the pull request, and blocks regressions. No warning when it breaks again. Alert flows drawn on a canvas react to failed gates, broken conversations, unseen failure modes, or rising failure rates by messaging Slack, sending email, calling a webhook, or prompting an LLM. Coding agents can read traces and write evaluators through an MCP endpoint. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Shipping a Git repository to a live HTTPS URL takes one dashboard and one server with ZaneOps, an open-source alternative to Heroku, Railway, and Render. Linked GitHub or GitLab repositories build with a Dockerfile, Nixpacks, Railpack, or a static directory builder. Deploys start by hand, on git push, or from a CI webhook. Blue/green releases keep the previous version serving traffic while the new one starts. Each pull request or merge request can open its own preview environment, and the API can create one on demand. Configuration edits queue up as changes that you review before a new version deploys. A pasted docker-compose.yml or a ready-made template (Postgres, Redis, WordPress) deploys a whole stack with blue/green rollouts. Every domain gets a free SSL certificate that renews itself. Wildcard hosts, permanent or temporary redirects, and several services under one domain all work. Runtime logs, request logs, metrics, and health checks gather in the dashboard. Services get CPU and memory limits and volumes, and environment variables import or export as .env files. Viewer, Member, Admin, and Owner roles decide who can see and change what; the free tier allows one workspace and three users. A web terminal opens a shell inside any running deployment, and a second one reaches the server itself over SSH. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.