Prostir

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Prostir AI agents: what you can build and control

Prostir AI agents: what you can build and control — Prostir AI agents combine owned instructions, Knowledge, Skills, approved tools, controlled access, versions, and a published identity. This guide explains the full product boundary before you choose a plan or invite a user.

Before you read

What gets published

A practical decision, build, access, test, and publication plan for Prostir AI agents: what you can build and control.

Best for

Creators, experts, consultants, and small teams deciding which owned AI Agent to build first and what must stay under human control.

Where the work happens

Prostir Agent · AI agents · Prostir

01

Start with one job

An Agent should own one repeated job with a clear user, trigger, useful result, and accountable human. Start from the work that already costs time or blocks a customer, not from a generic promise to do everything.

A prompt demo becomes a product only after someone owns its sources, access, tools, failures, updates, and customer support. Prostir supplies that product surface without turning the Agent into a Team, Store, or arbitrary SaaS application.

Write the before-state and one measurable completion signal before opening the builder.

02

Give it trustworthy context

Separate approved Knowledge, durable instructions, reusable Skills, live tool reads, and customer Memory. Name who maintains every source and what the Agent must say when the answer is missing, stale, disputed, or outside scope.

Choose Prostir when the valuable deliverable is an Agent that answers or acts within a bounded job and needs an owned public identity, supported AI-client access, controlled users, versioned configuration, and optional seller-connected commerce.

Record source rights, review dates, correction paths, and deletion ownership beside the material.

03

Choose actions and limits

Add tools only when the job needs current data or an approved action. Begin read-only, constrain every input and output, and keep payments, permissions, customer records, and other authoritative state behind typed server rules.

Prostir AI agents combine owned instructions, Knowledge, Skills, approved tools, controlled access, versions, and a published identity. This guide explains the full product boundary before you choose a plan or invite a user.

Require confirmation for consequential writes and leave a human escalation route for exceptions.

04

Control access

A published address is not permission. New Prostir Agents are private by default; the owner deliberately chooses exact-resource OAuth, scoped revocable API keys, or eligible confirmed Anonymous access.

Choose Prostir when the valuable deliverable is an Agent that answers or acts within a bounded job and needs an owned public identity, supported AI-client access, controlled users, versioned configuration, and optional seller-connected commerce.

Test the exact owner, customer, domain, and revoked-access cases instead of trusting an unlisted link.

05

Test the bad paths

Save representative success, refusal, missing-source, conflicting-source, unauthorized-user, tool-failure, and recovery cases. A polished chat is not release evidence until failures are repeatable and visible to the owner.

Use an existing SaaS, deterministic automation, or custom application when the job is already solved, follows fixed rules, needs a bespoke user interface, or carries regulatory and integration requirements beyond a bounded Agent.

Keep failed cases in the evaluation set so a later edit cannot silently reintroduce them.

06

Publish with an owner

Publish one Agent identity with versions, a passport, and a remote MCP endpoint for supported clients. Keep one person responsible for sources, permissions, incidents, updates, support, and retirement after launch.

Use an existing SaaS, deterministic automation, or custom application when the job is already solved, follows fixed rules, needs a bespoke user interface, or carries regulatory and integration requirements beyond a bounded Agent.

Prostir reduces authoring and hosting work; it does not create demand, guarantee correctness, or remove operating responsibility.

Solutions

AI agent builder for a product you can own and control

Build one managed Agent, test it with real questions, connect only the knowledge and actions it needs, then publish it privately or make a separate deliberate public-access choice. Prostir provides the hosted address, protected access, and delivery into supported AI clients without making you assemble that product backend first.

Solutions

Turn the useful demo into an owned Agent

Tell us the job, the people who should use it, the source material it needs, and what it must never do. We will help you map a first Agent release that can be tested honestly.