Codeer.ai User Guide
Build an agent you can understand and control
Codeer is not about writing a prompt, launching it, and hoping the agent keeps answering correctly.
The better path is to choose a small set of customer questions you truly want to support, let Copilot help you draft the first customer service agent, then put 20 to 30 important scenarios into Test Suite. You can review the AI responses with Copilot, see which responses meet the standard, and identify which boundary questions should be refused, handed off, or routed to a form.
The first version does not need to be broad. Keep the knowledge base as small as possible and include only what those important scenarios need. After real users start asking questions, use that feedback to decide which scope to expand in the next version.
Start with the recommended workflow
If this is your first time evaluating or operating Codeer, begin with Start Here.
That path shows the first complete loop:
- discuss the customer service agent with
Copilotand create a basic first draft - ask
Copilotto generate the first important scenarios from the current agent, especially boundary and out-of-scope scenarios - immediately run 20 to 30 scenarios in
Test Suiteand find the cases that do not pass - review each AI response against its
StandardwithCopilot, then fix the draft step by step - make sure out-of-scope questions are refused, handed off, or routed to a form
- publish to real users
- use real conversation feedback to decide which high-value scenarios to add in the next version
Start Here
Getting Started
Follow the first workflow from verified scenarios to stable launch and versioned expansion
Verified Scenarios
Define the questions the agent should handle, test the boundaries, and expand scope by version
Learn Codeer through a high-standard customer service agent
This guide uses a plain customer service agent with a high bar for behavior.
The agent does not answer everything on day one. It handles a small set of customer questions that have been thoroughly tested and verified first. When a question is outside the first version, it must refuse, hand off to a human, or route the user to a form. This gives you a visible, fixable, versioned starting point instead of an empty agent whose real behavior is hard to control.
Explore by job to be done
Build the Agent
Teach the agent how to clarify, judge, guide, and stay inside approved boundaries
Control Agent Behavior
Build the agent and the verified scenario set together so the trusted scope is clear
Launch Safely
Publish carefully, control access, and expand only when important behavior is verified
Operate and Improve
Review conversations, find weak spots, and protect good fixes with reusable cases
Knowledge and Integrations
Ground the agent in real business knowledge and connect it to your systems
Team and Access
Set roles clearly for operators, reviewers, admins, and launch owners
More agent tools
- Payments: hand an approved agent flow into payment collection and keep the result in conversation history
- Booking: let the agent surface a booking or Calendly link at the right moment