Prostir

Prostir is a no-code platform for launching custom AI apps with your own knowledge, tools, auth, payments, and one link that works in ChatGPT, Claude,

10 views 0 likes May 21, 2026
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About Prostir

Prostir is a no-code platform for launching custom AI apps without building the backend yourself.

 

Users upload their knowledge, write plain-English rules, connect tools such as Stripe, HubSpot, Notion, Slack, or custom APIs, then launch one AI app that can work inside ChatGPT, Claude, Cursor, a website, or a web app. Prostir handles the technical layer behind the product: knowledge ingestion, MCP endpoints, tool access, authentication, customer accounts, usage limits, Stripe-backed payments, and deployment.

 

The product is built for experts, creators, consultants, SaaS teams, course owners, and businesses that have useful knowledge or repeatable workflows and want to turn them into a working AI product. A consultant can package playbooks into a paid AI expert. A course creator can launch a tutor that answers from approved material. A SaaS company can ship a customer support or onboarding assistant trained on its own documentation. An internal team can create a private helper for recurring questions and tasks.

 

Prostir solves the gap between “this works in ChatGPT” and “customers can actually use and pay for it.” Custom GPTs are limited to one platform and usually leave creators without payments, customer ownership, usage controls, or proper deployment options. Building a custom AI backend from scratch means developers, auth, hosting, tools, APIs, MCP, payments, dashboards, and months of work. Prostir packages that infrastructure into one product flow.

 

The goal is simple: help people turn knowledge, instructions, and tools into live AI apps faster, with clear control over who can use them, what they can access, how they behave, and how they are monetized.

cAI, SaaS, No-Code, Developer Tools, Automation, MCP, AI Agents

 

Key Features

  • AI app builder, no-code AI app, custom AI assistant, AI chatbot builder, website AI chatbot, paid AI assistant, knowledge-based AI, AI customer support, AI support bot, AI course tutor, AI tutor, AI coach, paid expert assistant, monetize expertise, sell your knowledge, creator tools, consultant tools, course creator tools, online course assistant, customer onboarding assistant, internal team assistant, business automation, client support automation, automate customer questions, custom chatbot, website assistant, AI help desk, AI knowledge base, ChatGPT assistant, Claude assistant, embed AI on website, Stripe payments, paid digital product, launch AI product, no-code tools, AI tools for creators, AI tools for consultants, AI tools for small business, SaaS support assistant, support automation, knowledge monetization

Use Cases

  • Prostir is a no-code platform for launching custom AI apps without building the backend yourself. Users upload their knowledge, write plain-English rules, connect tools such as Stripe, HubSpot, Notion, Slack, or custom APIs, then launch one AI app that can work inside ChatGPT, Claude, Cursor, a website, or a web app. Prostir handles the technical layer behind the product: knowledge ingestion, MCP endpoints, tool access, authentication, customer accounts, usage limits, Stripe-backed payments, and deployment. The product is built for experts, creators, consultants, SaaS teams, course owners, and businesses that have useful knowledge or repeatable workflows and want to turn them into a working AI product. A consultant can package playbooks into a paid AI expert. A course creator can launch a tutor that answers from approved material. A SaaS company can ship a customer support or onboarding assistant trained on its own documentation. An internal team can create a private helper for recurring questions and tasks. Prostir solves the gap between “this works in ChatGPT” and “customers can actually use and pay for it.” Custom GPTs are limited to one platform and usually leave creators without payments, customer ownership, usage controls, or proper deployment options. Building a custom AI backend from scratch means developers, auth, hosting, tools, APIs, MCP, payments, dashboards, and months of work. Prostir packages that infrastructure into one product flow. The goal is simple: help people turn knowledge, instructions, and tools into live AI apps faster, with clear control over who can use them, what they can access, how they behave, and how they are monetized.

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