Most agents read the docs. This one reads your stack.
Customer Agent runs on your organization’s shared memory, so it doesn't stop at the FAQs. It checks the error logs in Datadog, pulls the order from Shopify, replays the customer's session, reads the console output off their screen, then resolves based on what it finds.
Built from what your team already does
Computer reads your support history, every ticket and every resolved conversation, and drafts a working agent from them. There's no blank config to fill in or rules to write by hand. You start from an agent that already knows your business.
Your business isn't generic, and your agent shouldn't be either. Customer Agent works in your industry's language, at the depth each question requires, on the channels your customers use.
Speaks your domain from day one
Customer Agent ships with pre-built templates across multiple industries, each shaped by real large-scale deployments. The agent for ecommerce already handles chargeback disputes. The fintech agent knows not to stray into financial advice. Instead of configuring from scratch, you're editing from experience.
Most agents wait to be fixed. This one brings the list.
Every week, Computer reviews the conversations your agent actually had, the ones it nailed and the ones it fumbled, and comes back with a short list of fixes. Approve what makes sense, wave off what doesn't, edit anything you want. You approve, it goes live.
Your knowledge base writes itself
When customers keep asking something the agent can't answer, Computer spots the pattern, drafts the missing answer, and adds it to your knowledge base. The next customer with the same question gets instant resolution.
Standalone agents plateau. This one compounds.
A standalone AI agent only ever learns from its past chats. Customer Agent learns from everything your business learns. Every ticket closed, every fix shipped, every product change, because it shares a memory with your entire organization.
