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Knowledge base AI agent with tools and paid access

How to turn docs, FAQs, policies, examples, and safe tools into a knowledge base AI agent that can be public, protected, or paid. Prostir keeps the source setup explicit, the endpoint hosted, and access rules attached to the published agent.

01

Start with selected sources

  • A knowledge base AI agent should answer from material you deliberately attach: docs, FAQs, policies, guides, examples, product pages, or support playbooks.
  • It should say when the source material is missing, stale, or not enough to answer the question.
  • It can call tools for live checks, but those tools should be narrow, authenticated, logged, and connected to the agent's job.
02

Build the agent around knowledge, tools, and access

The useful version is not a chatbot pasted on top of a folder. It is a published agent with source ownership and access rules.

  1. 01
    Define the support or expert job.

    Name what the agent answers, what it refuses, and when it should hand off to a person.

  2. 02
    Attach source material.

    Add docs, FAQs, policies, pages, examples, and updates that the agent is allowed to use.

  3. 03
    Add controlled tools.

    Expose only safe actions such as plan lookup, order check, booking link, eligibility check, or internal status lookup.

  4. 04
    Choose access.

    Make the agent public, protected by grants, or paid through Stripe-backed access depending on the audience.

  5. 05
    Publish and test.

    Publish the hosted endpoint, test real questions, check failure states, and update sources when answers are weak.

03

Knowledge-base checklist

doc source docs The approved docs, FAQs, policies, examples, and pages the agent can answer from.
code tools Narrow API calls or helpers for live checks, never every internal capability.
data access rules Public, protected, paid, owner-managed, and revocation settings.
link hosted endpoint The HTTPS public agent surface or remote MCP endpoint clients can connect to when supported.
04

From support docs to paid expert agent

A founder wants support answers for everyone and deeper paid advice for customers.

ChatGPT

Build a knowledge base AI agent from our docs and FAQs. Public users can ask basics, paid users can ask plan-specific questions.

I will attach the approved docs, add a plan lookup tool, set public and paid access rules, then publish the hosted agent.

prostir_agents_validate

Agent has source material, tool boundaries, access rules, and publishable slug.

prostir_agents_publish

Knowledge base AI agent published. HTTPS endpoint, access checks, and setup material are ready.

Live

Public answers use approved sources. Paid users can trigger entitled checks through controlled tools.

05

Answer for search and AI overviews

  • A knowledge base AI agent is useful when it answers from selected source material, names uncertainty, and can use controlled tools for live checks.
  • Prostir hosts the agent, knowledge setup, tools, auth, paid access, quotas, and endpoint together instead of scattering them across scripts.
  • The agent does not automatically know every document you own. You choose the sources, publish the agent, and test the answers.

What gets published

Visitors, customers, or paid users get one hosted agent for answers, checks, and next steps. The owner controls which knowledge is indexed, which tools are available, who can access it, and when payment or revocation applies.

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One afternoon from idea to live link.

Upload what only you have. Write the rules in plain language. Open the link in ChatGPT, Claude, or your site. Ship the agent only you could ship.

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