Make AI fit the business you actually run.

Use local models with AI agents through Prostir Workers. Connect your computer, choose a ready model, and keep Agent tools and workflow control in Prostir.

• Workers
• Local models
• Agents
• Flows

An AI agent security audit checklist helps you check the access and actions behind a useful assistant. Review sources, credentials, permissions and failure behavior before inviting people to rely on it.

• AI agent security audit
• Penetration testing
• Access control
• Launch checklist

How to create a personal AI agent you own. Create a personal AI agent for one recurring job. Describe it in Builder, add the sources and approved tools it needs, then test how it works through your chosen compatible AI client.

• How to create a personal AI agent you own
• Separate knowledge, memory, and tools
• MCP
• OAuth

How to build an AI agent for your business — For normal MCP use, the creator does not buy model tokens; no model-provider API key is required, and BYOK remains optional. Describe one business job in Builder: who needs help, what information matters and what a useful result looks like. Test the agent with your own context, ask for changes and add authorized actions when the job needs them.

• AI Agent business
• MCP
• OAuth
• How to build an AI agent for your business

How to build an AI expert assistant and charge for access — For normal MCP use, the creator does not buy model tokens; no model-provider API key is required, and BYOK remains optional. Build an AI expert assistant around a clear scope of help. Test its answers and limits, then choose the access terms and eligible payment path that fit the service you can support.

• AI Agent business
• MCP
• OAuth
• How to build an AI expert assistant and charge for access

Prostir AI agents: what you can build and control — Prostir AI agents bring business knowledge and authorized tools into a useful conversation. Describe the job in Builder, try the result and shape the agent around the way you work.

• Prostir Agent
• AI agents
• Prostir

An AI-native Store connects products, delivery rules and consented buyer context so an agent can help shoppers choose, with checkout under seller control.

• AI-native Store
• Product knowledge
• AI commerce
• Buyer context

Start Store automation with a job you can check: finding product information, preparing a selection or helping with a supported cart. Verify price, stock and seller authority before expanding to more consequential actions.

• Store automation
• AI workflow
• Store operations
• What to automate first

Build a custom CRM with AI by describing how your customer work moves forward. Try the current Company records and tools in Builder, check the fields and stages and keep specialist sales requirements explicit.

• Build custom CRM with AI
• AI CRM builder
• Codex CRM
• Custom CRM and ERP

Connect an AI agent to your CRM through a supported, authorized integration. Start with a specific question or action, test the account permissions and check what was read or changed.

• Connect an AI agent to your CRM
• AI agent CRM integration
• CRM MCP
• CRM permissions

AI-native project management brings an assistant into the context of the work: records, tasks, sources and permitted actions. People still need a clear view of progress and responsibility.

• AI-native project management
• Custom workflows
• AI agents
• Project operations

Compare custom project management with off-the-shelf tools using your own team’s process. Check what already works, what needs to change and who will maintain the result.

• AI project management
• AI agents
• Workflow governance
• Prostir Company

Build a custom ERP with AI only from a defined operational scope. Map records, authority and specialist requirements first; try supported Company capabilities without assuming a complete ERP suite is included.

• Build custom ERP with AI
• Codex ERP
• AI coding Agent
• Custom ERP