How to turn your expertise into an AI agent

Start with a repeated, expensive decision or handoff, not with a generic chatbot. Name the buyer, triggering event, approved inputs, useful output, accountable owner, and the measurable sign that the job is complete. If you cannot test the output, you cannot promise it responsibly.

Expertise is usually tacit: you notice signals, reject weak evidence, ask a better next question, and know when the case is unusual. Uploading a pile of files captures information but not the decision method that makes it useful.

Record a baseline before launch, then compare completed jobs, corrections, safe refusals, time, support load, and cost.

Write the method as a sequence of questions, evidence rules, examples, exceptions, and escalation points. Keep owned documents in Knowledge, reusable procedure in instructions or a Skill, live reads and explicit actions in tools, and external systems authoritative for records they already own.

Record ten real cases, the opening questions, evidence used, decision rule, output, correction, and escalation. Put approved references in Knowledge and the repeatable decision procedure in instructions or a Skill; use an Agent when users also need state, access, tools, or an ongoing relationship.

Every source needs an owner, usage rights, review date, and correction or deletion path.

In Prostir, an Agent is the stateful product owner for instructions, Knowledge, tools, access, versions, and a remote MCP endpoint. New Agents are private by default. Begin with read-only answers, representative cases, missing evidence, and safe refusals before adding writes or wider access. How to turn your expertise into an AI agent: 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.

Extract the questions, evidence, sequence, examples, and judgment boundaries behind a repeatable expert result, then encode the stable part while keeping exceptional judgment human.

Test ordinary, missing, stale, conflicting, and forbidden inputs before publication.

Sell a defined outcome and access contract: who may use the Agent, for which job, with what source set, limits, response expectations, onboarding, updates, and support. Customers receive use access, not silent control of the creator's Agent configuration, credentials, shared resources, or publication.

Record ten real cases, the opening questions, evidence used, decision rule, output, correction, and escalation. Put approved references in Knowledge and the repeatable decision procedure in instructions or a Skill; use an Agent when users also need state, access, tools, or an ongoing relationship.

Name setup, recurring access, custom work, user limits, cancellation, and support separately in the offer.

Price from the value of the resolved job, delivery and support effort, model and tool costs, payment fees, risk, and expected usage. A pilot should define acceptance cases, correction handling, usage boundaries, and the next commercial decision. Traffic, conversion, and retention remain market evidence to earn—not platform guarantees.

Do not encode confidential client material, licensed sources you cannot redistribute, or a claim that the Agent is equivalent to your professional judgment. Preserve uncertainty and an explicit path back to the expert.

Price is not proof: acceptance cases must expose success, failure, correction, and recovery.

Use OAuth for identified paid customers and keep permissions narrow, expiring, revocable, and auditable. Prostir supports seller-connected commerce, including one-time or subscription offers where the selected provider and product flow support them; it does not promise pay-per-use billing, automatic demand, or zero-maintenance autonomy.

Do not encode confidential client material, licensed sources you cannot redistribute, or a claim that the Agent is equivalent to your professional judgment. Preserve uncertainty and an explicit path back to the expert.

Assign one accountable owner for sources, permissions, incidents, updates, and retirement.