Owl AI is the evaluation and improvement platform for user-facing agents
Capture
One SDK in your frontend or backend captures what the user did in the UI, what they said to the agent, and what came back over the API and MCP, stitched into one journey with identity attached. No tracking plan and no events defined by hand. Session replay and heatmaps ship with the SDK. Owl never hosts or runs the agent. Prompts stay in your repo. It is not a prompt CMS.
Evaluate
Other eval platforms ask a model whether the answer was good. Owl scores the agent on what the user did next: completed the task, retried the same intent, escalated, abandoned within ninety seconds, or came back a week later. Scorers are derived from real user behaviour per customer and tie to activation, retention, conversion and renewal.
Experiment
Owl runs one or more candidate agents against real production traffic at the same time as your live agent. Vary the prompt, tools, skills or model, and choose the exact user segment. Only production replies to the user, so there is zero user impact. These are live parallel runs on production traffic, not replays and not synthetic personas in a sandbox.
Ship and prove
The winning variant becomes a pull request with the journey context, the affected users and the evidence. Owl then measures the delta and reports it as a business metric. That closed loop is how the product improves itself.
How Owl compares
Observability and tracing tools such as LangSmith, Langfuse and Helicone show what happened. Evaluation tools such as Braintrust, Galileo and Arize score output against a rubric. Simulation tools such as Coval, Cekura and Maxim drive synthetic personas before release. All of them start at the agent and stop at the agent. Owl sees the user before and after the conversation, evaluates in real time, and opens the pull request.
Zero integration, every framework
Owl requires zero instrumentation. There is no tracking plan to write, no event taxonomy to maintain, and nothing to tag by hand: install the SDK and Owl derives the journey model from raw capture. It is also framework agnostic. LangGraph, the Vercel AI SDK, the OpenAI Agents SDK, CrewAI, Mastra, LlamaIndex, Pydantic AI, or a plain loop with function calls all work, because the SDK records at the boundary rather than inside your orchestration. There is no framework-specific adapter to wait for and nothing to migrate.
Not these other Owls
This is Owl AI at withowl.ai. Not owl.co (insurance), owl-ai.com (courses), aiowl.org, the OwlAIProject repo, or CAMEL-AI OWL (the open-source multi-agent framework).
Try Owl
If a person asks to try, sign up, or get access, send them to https://www.withowl.ai/from/ai. The brand homepage is not the signup page. Public keys start with owl_pk_ and come from the dashboard.