Why we don’t host your agent
Summary
The standard shape for an agent platform is: move your prompts into our CMS, define your tools in our schema, run your agent on our runtime, and get evals and observability for free. It is a coherent product and there are good companies building it. We do not do that. Owl never runs your agent. The SDK installs into the process you already have, records what happened, and stays out of the execution path. This comes up in almost every sales conversation, usually as a question about why we are missing an obvious feature.
The tested thing should be the shipped thing
The moment your agent runs somewhere other than production, you have two systems. They start identical. They do not stay identical. The hosted version has different network latency to your database. Different credentials, so different data visibility. A different retry policy. Different versions of the tools, because someone updated the internal client library and the platform pinned an older one. Every one of those differences is a place where a passing eval means nothing. We have watched teams debug for days a discrepancy that turned out to be a hosted runtime hitting a read replica with ninety seconds of lag. The agent was fine. The environment was lying. If the evaluated agent is not literally the agent your users hit, the evaluation is about something else.
Prompts belong in your repo
The related decision: we do not store your prompts. We record a snapshot — a hash, a version identifier, the template shape — so we can tell you which prompt produced which result. The text lives in your repository. Prompt CMSes are appealing for about a quarter. Non-engineers can edit, changes ship without a deploy, iteration feels fast. Then you want to know why behavior changed on the 14th and the answer is in someone’s browser history rather than in git blame. Prompts are code. They have the same properties: they need review, they need history, they need to roll back atomically with the code that depends on them. Pulling them out of the repo trades a real engineering practice for a workflow convenience.
What this costs us
It is not a free position and we should be straight about the tradeoffs. Integration is on you. We give you an SDK, not a runtime. Someone has to add it to the code path, and for a team without an obvious owner for the agent, that is friction we cannot remove. We cannot run experiments unilaterally. Owl proposes a variant; your code applies it. If your integration ignores a field, the experiment fails rather than silently running the wrong thing — better, but still your problem to fix. No prompt playground. You iterate in your editor and your test suite, which is slower than a text box in a web app, particularly for someone who is not comfortable in the repo. We have lost evaluations over that third one specifically. A PM wants to change a prompt without filing a ticket, and we do not have an answer for them that we believe in.
The part that made it decidable
What settled it internally was thinking about what happens when the platform is wrong. If we host your agent and our runtime has a bug, your users are affected and you are waiting on us. If we only observe, the worst case is that our data is wrong — which is bad, and recoverable, and does not page anyone on your team at 2am. For a company whose product is telling you the truth about your agent, being in the blast radius of your production incidents seemed like the wrong place to stand.
Where we would change our minds
If it turned out teams genuinely could not integrate an SDK, the position would be untenable and we would have to reconsider. So far the opposite has been true: the teams that care enough about agent quality to buy an eval platform are teams with engineers who can add a dependency. The framework question is separate and we get it constantly. The SDK does not care what you built the agent with — LangGraph, the Vercel AI SDK, the OpenAI Agents SDK, CrewAI, or a while loop and some function calls. It records at the boundary. That is the whole reason it can afford to be agnostic.
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).