Business
How can I create a knowledge base for AI agents?
Build a knowledge base in Traiker with processes, products and FAQs so your agents can answer with your company's information. Your data is yours: we don't train models on it or process it, and you can export or delete it whenever you want. It's the safe place, with templates, for ChatGPT, Claude or Grok to query it through MCP without touching databases or building an app.
AI assistants answer very well about the world and very poorly about your company. At Traiker we solve that by giving them a knowledge base of their own: processes, products and answers the team has already approved.
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What you keep in Traiker
- Internal processes, step by step
- Products or services with their terms
- FAQs and approved answers
- Owners for each area
How it's set up
- Choose a specific area (customer support, for example).
- Load its processes and usual answers into Traiker.
- Connect the team's assistants through MCP.
- Review which questions find no answer and fill the gaps.
An example
You, in Grok connected to Traiker:
“A customer wants to return an order from 40 days ago. What does our policy say and who approves it?”
It answers with the policy stored in Traiker and the person responsible for the area, instead of assuming a generic policy.
Other use cases
How can I log gym sessions and meals with ChatGPT?
Your workouts and what you eat, in a place your assistant understands.
How can I build a freelancer CRM with AI?
Clients, proposals and follow-ups without setting up a corporate CRM.
How can a hotel use AI with its bookings and guests?
Arrivals, requests and suppliers, one question away.
