Answer
Respond from your approved docs, SOPs, and knowledge base.
Codeer lets the people who know the work define how the agent should judge, answer, and hand off, then uses AI to help them test, fix, and launch it. No code required.
The people who know the work define how every answer, follow-up, and handoff should happen.
Respond from your approved docs, SOPs, and knowledge base.
Turn vague requests into complete intake, specs, or bookings.
Find the right policy, product, or procedure during the conversation.
Know when to stop and route to the right person with context.
Start with one real case. Codeer's AI interviews your team, drafts the agent, turns your guidance into tests, finds issues, and helps revise them. Your team only needs to confirm the expert standard, handoff boundaries, and when it is ready to launch.
Describe a recurring customer situation in plain language. The Copilot asks follow-up questions and drafts the first agent.
Your team confirms what the agent must ask, what it may promise, and when it must hand off. No technical specification required.
AI turns your decisions into tests, runs the important scenarios, finds what misses the mark, and helps revise the agent.
Review the results and approve the version when it is ready. AI reruns the same checks after every change.
Backed by
Early investors in Mistral AI
Working with teams across education, healthcare, logistics, and specialty retail




Pick the scenario that's closest to your work.
User: Can you check my essay? I'm not sure about the conclusion.
Agent: I've reviewed it against your teacher's rubric. Evidence is strong, but the conclusion summarizes instead of synthesizing. Focus on answering 'so what?' I've prepared a revision plan.
→ Students get instant feedback. Teachers scale their expertise without lowering standards.
Explore Education →User: Our launch is two weeks away. Should I add another audience segment now?
Agent: Not yet. Using your Focus → Evidence → Expand framework, first confirm that the current segment converts. Add a second segment after five qualified conversations.
→ Clients get your approved guidance between sessions. You keep your time for nuanced judgment.
Explore Scale Your Expertise →User: A customer wants a refund after 30 days. What should I do?
Agent: Check the three approved exceptions first. If none apply, explain the 30-day policy and offer store credit. Escalate cases over $500.
→ Every teammate gets the current process, its source, and a clear escalation path.
Explore Team Knowledge →User: My order arrived damaged. Can I get a replacement before Friday?
Agent: Your order is within the 14-day replacement window. I can arrange it now. If Friday delivery cannot be confirmed, I'll hand this to a support rep before promising a date.
→ Customers get approved answers around the clock, while exceptions reach a person with full context.
Explore Customer Support →User: We need 500 custom cake boxes for Japan in 3 weeks. Can you quote?
Agent: Yes. Because these are for chilled cakes, should I include a food-safe moisture barrier, JAS-compliant ink, and cold-chain delivery?
→ Every inquiry becomes a complete brief, an approved recommendation, or a qualified handoff.
Explore Inbound Sales →User: My dog has been coughing for 3 days. Should I be worried?
Agent: Dry or wet cough? Eating normally? Has he been around other dogs lately? Based on your answers, I'd recommend a check within 24h.
→ Better triage. Less phone tag. Staff gets complete intake before the visit.
Explore Vet Clinics →User: We need 2,000 custom parts by September. Can your material handle 120°C?
Agent: The approved specification supports continuous use up to 110°C. For 120°C, engineering review is required. I'll collect the drawing, tolerance, and application details for the RFQ.
→ Complete RFQs arrive faster, while technical edge cases reach the right engineer.
Explore Manufacturing →You define how the agent should judge and when it should hand off. Codeer's AI turns those standards into tests and checks them before launch and after every change.
See how expert judgment becomes agent behavior →Real cases capture what the agent must ask, what it may promise, and when it must hand the work back.
Before launch, AI checks the agent against expert-defined cases and reruns them whenever the agent changes.
When information is missing, risk is high, or a request is outside the approved scope, the agent stops and hands off with context.
ChatGPT is great for personal use. But letting it talk to your customers directly? That's different.
| ChatGPT / Generic AI | Your team's Codeer Agent | |
|---|---|---|
| Knowledge source | General internet knowledge | Your approved docs, SOPs, policies |
| Quality control | Hope it works | AI tests real scenarios before launch |
| When it's wrong | You find out from a customer complaint | AI flags it during testing |
| Brand voice | Generic AI tone | Trained to answer the way you would |
| Scope boundaries | Answers anything, including wrong things | Stops and hands off when it should |
| Where people can use it | Only inside ChatGPT | LINE, Slack, Messenger, Instagram, website chat bubbles, or a unique URL page |
| Conversation data | Lives in ChatGPT | You own it - track, analyze, improve |
Start free. Scale when you're ready.
Start with one real scenario. AI interviews, builds, tests, and helps revise the agent. You only confirm the key standards and when it is ready to launch.