Shadow-test a new AI email agent on live threads with Nylas
You have an email agent that works in a test inbox. It classifies a support request, pulls the relevant context, and drafts a plausible reply. The risky next step is turning it loose on support@yourcompany.com : a new prompt can misunderstand a frustrated customer, a new model can change its format, and a harmless-looking tool change can make the agent write twice. There is a useful stage between…
Shadow-testing an AI email agent on live threads with Nylas involves running the candidate agent in a controlled environment before deploying it to send customer emails. This allows the agent to process real email traffic while producing structured proposals such as reply action, reason, body, and confidence score. However, the shadow run does not send the email or make any changes to the customer's mailbox.
The agent's output is stored in a separate database for comparison with the actual production agent's response or a human-approved reply. The implementation focuses on a database structure rather than a specific queue or model provider.
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