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Connect Cobre's Documentation to AI
Overview
llms.txt, which indexes all documentation pages in Markdown format. This enables Large Language Models (LLMs) such as ChatGPT and Claude to reference the full official documentation when answering questions.https://docs.cobre.com/llms.txtWhat Is llms.txt?
llms.txt is a structured index that:Why Use llms.txt?
llms.txt provides:How to Use llms.txt in LLM tools
Step 1: Start With a Clear Instruction
“Use the documentation indexed at https://docs.cobre.com/llms.txt to answer my questions about Cobre.”
Configure a Web search capability in ChatGPT
Step 2: Ask Specific, Context-Rich Questions
Example: Capabilities Overview
“Using Cobre’s official documentation (llms.txt), explain the different solutions described in the Capabilities section and what type of companies each one is designed for.”
Example: Real-Time Payment Capabilities
“Using Cobre’s Capabilities section from the official documentation, explain how Cobre enables real-time payments and what operational advantages this provides.”
Example: Portal – User Management
“Using Cobre’s official documentation (llms.txt), explain how to create, manage, and assign roles to users in the Cobre Portal.”
Example: Portal – Payment Monitoring
“Based on the Portal section in Cobre’s documentation, explain how to track payment statuses and identify failed transactions.”
Example: Portal vs API
“Using Cobre’s Capabilities and API Guides documentation, compare what actions can be performed through the Portal versus through direct API integration.”
Recommended Prompt Structure
2. Define the task
3. Specify output format (if needed)
Template
“Using Cobre’s official documentation indexed at https://docs.cobre.com/llms.txt, [describe your task]. Provide the answer in [desired format].”
Modified at 2026-02-27 23:46:55