- Where we investigate failures today?
    - slack
    - matrix
    - GitHub PRs
- How do we integrate AI into our existing workflow?
    - options:
        - 1. API to interact with model/log detective
        - 2. web front end to supply logs and prompt (like log detective)
        - 3. slack bot that can take commands in replies to notifications about failures
            - /bot analyze 'dns resolution'
                - slack bot identifies links from threaded message chain
                - interacts with thebeast to register logs and failure annotation
                - open question: does the bot retrieve the logs and upload them or does the bot tell thebeast where to retrieve the logs from?
            - pros: it's where we are today when we investigate most failures
            - cons: slack isn't the only place where we investigate failures
        - 4. have jenkins send the logs to the model on failure
            - DWM: I think jenkins uploading automatically is a future state, i.e. once our model is trained and gives useful analysis we can then automatically submit failures AND potentially take action based on the analysis