Prostir

Guides

Get the next decision right.

Start with the job you want to improve. Each guide explains a practical choice, the supported path and what to check before you depend on it.

01

AI agent builder for ChatGPT and Claude

An AI agent builder for ChatGPT and Claude helps give your business AI a home beyond a single conversation. Describe the job in Prostir Builder, test its knowledge and authorized actions, then verify the connection in each supported client.

  • AI agent builder for ChatGPT
  • AI agent builder for Claude
  • No-code AI agent builder
  • Remote MCP endpoint
02

Remote MCP server for ChatGPT, Claude, and Cursor

A remote MCP server connects a hosted agent to a compatible AI chat. Build and manage the agent in Prostir, grant the right access and test the client’s actual tools and sign-in before sharing the connection.

  • Remote MCP server
  • Hosted MCP endpoint
  • ChatGPT connector
  • Claude MCP server
03

What is an AI-native agency?

An AI-native agency builds its service around useful, repeatable work supported by AI. Start with a client job you understand, decide what the agent may do and keep responsibility for the quality of the service you deliver.

  • AI-native agency
  • Business automation
  • MCP
  • Agents and Companies
04

Reusable AI skills: build a method for your agents

Reusable AI skills keep a method available to the agents that need it. Describe the inputs, steps and expected result in Builder, test the method in context and reuse it without turning every instruction set into a separate commercial offer.

  • Reusable AI skills
  • Agent methods
  • Examples and checks
  • Builder
05

Knowledge base AI agent with paid access

A knowledge base AI agent with paid access lets people ask about a defined body of expertise. Build the service in Builder, test sourced answers and missing information, then configure eligible Agent access and your seller-owned payment path.

  • Knowledge base AI agent
  • AI support agent
  • AI agent with tools
  • Paid expert AI agent
06

Knowledge graph AI agent for product docs and support

A knowledge graph AI agent for product docs helps people find relevant answers across approved documentation. Start with the questions buyers and colleagues ask, organize supported sources and check the citations before relying on the result.

  • Knowledge graph AI agent
  • GraphRAG
  • Markdown-LD
  • knowledge_search
07

MCP vs CLI: what is the difference?

MCP vs CLI: both can help AI work with tools, but they connect in different ways. Understand where each runs, which permissions it needs and how to choose the connection for your actual job.

  • What is MCP
  • MCP vs CLI
  • AI connections
  • Plain language
08

How to make your product available in ChatGPT and Claude

Making your product available in ChatGPT and Claude starts with a useful service and a supported connection. Keep its behavior and approved tools in Prostir, then verify access in each client people will use.

  • ChatGPT
  • Claude
  • Product access
  • MCP
09

How to build a lightweight CRM in Prostir Company

Build a lightweight CRM in Prostir Company around the customer work you actually do. Describe the records, fields and stages in Builder, test the current Company tools and inspect the result through shared views.

  • Lightweight CRM
  • Prostir Company
  • Sales pipeline
  • HubSpot alternative
10

How to create an AI agent for Telegram

Create an AI agent for Telegram by starting with its business job in Builder. Test the agent’s sources and actions, configure the supported Telegram connection and verify the actual conversation before sharing it.

  • Telegram bot
  • Telegram AI bot
  • BotFather token
  • No-code setup
11

How to add an AI agent widget to your website

Add an AI agent widget to your website after you have tested the job it should do. Describe the agent in Builder, configure an eligible widget and check the visitor’s actual access and experience.

  • AI agent widget
  • AI chatbot widget
  • Website chatbot
  • Chat widget

Products · Solutions

Start with the problem you need to solve

Choose the job you want to improve. See the supported build path, what to test and which plan or setup it needs.

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