Collect the questions that interrupt your week and identify the documents that answer them.
Knowledge Agent
Knowledge base chatbot for the questions you answer again
Build a knowledge base chatbot around the policies, guides and service details people actually ask about. Describe the job in Builder and test answers against the sources.
For the usual MCP path, model-token cost to the Agent creator is $0: the customer's AI client supplies the model under that customer's subscription and limits.
Available
What is getting in the way
The answer exists, but finding the right document and explaining it still falls to you.
What changes
A focused agent that searches approved knowledge, cites supported sources and admits when the answer is missing.
Knowledge Agent
How Prostir gets you there
Start with repeated questions
Collect the questions that interrupt your week and identify the documents that answer them.
Give the agent good sources
Add supported, extractable content and specify which resources should be searchable.
Check answers and gaps
Test real questions, conflicting sources and information that is not in the material. Update the source when it is wrong.
Available
What you can verify
- Agent Knowledge is built from owner-controlled resources rather than copied from a customer's private memory.
- The runtime supports searchable Markdown knowledge and can provide source-aware answers where the configured flow carries that context.
- Knowledge updates, access, tools, and publication remain controlled by the Agent owner.
A good fit if
- Your company or customers repeatedly ask factual questions covered by approved documents.
- You can identify which sources are authoritative and who should be allowed to use them.
Not the right fit if
- You expect every website, Notion workspace, recording, or private account to be crawled automatically.
- You need a guarantee that every generated sentence will include a formal citation regardless of configuration.
Questions before you decide
Will the Agent automatically know every company document?
No. You choose and maintain the approved resources. That explicit boundary is what keeps the knowledge useful and owner-controlled.
Is this the same as a collaborative Company workspace?
No. A standalone knowledge Agent is controlled by its creator and used by customers or employees. A Company is for active members who also collaborate on shared Tasks, Data, Files, and Knowledge.
Who pays for model tokens, and what do they cost the Agent creator?
For the usual MCP path, model-token cost to the Agent creator is $0. When a customer uses the Agent through a supported MCP connector in ChatGPT or Claude, the model runs in that customer's AI environment under the customer's subscription and limits. The creator pays for the Prostir plan, not those model tokens. AI Credits are needed only when the creator separately chooses a Prostir-hosted model run, such as a supported channel or widget. BYOK is optional and bills the creator's own provider account. Paid external tools remain separate.
Explore related options
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Give your knowledge a useful answer.
Would it be a bad idea to try the next recurring question against your own sources? Build a knowledge agent, check its citations and refine what it should answer. Start your 7-day Creator trial, no card needed.