Plainpaper

Plainpaper is a visual canvas specifically designed for AI agents to execute marketing campaigns in a structured and persistent manner. Unlike conventional chat threads where information gets lost as you scroll, this tool provides a workspace where AI generates strategies, creative assets, and action plans as cards on an infinite board. It is a solution tailored for marketing professionals and campaign creators who need to oversee AI output without losing editorial control or brand consistency.

Plainpaper’s functionality is built on the Model Context Protocol (MCP), allowing advanced models like Claude, ChatGPT, or Cursor to connect directly to the canvas. The tool doesn't operate as an independent language model but rather as a memory and context layer. The AI agent reads the board, interprets user instructions, and writes results in real time. This allows users to see the campaign develop—from initial research and audience definition to the creation of final assets—all in a visual and organized format.

The platform optimizes workflows through pre-configured marketing playbooks that guide both the user and the agent. These boards cover use cases such as product launches, content calendars, lead generation funnels, and competitor analysis. Key functional capabilities include:

• Structured Cards: Each campaign component (briefs, insights, ads, or emails) is organized into specific cards that make the project easy to scan visually.
• Approval System: The agent proposes tasks and creative work, but nothing is published or sent without express user approval.
• Persistent Memory Beyond Chat: When you close your computer and return days later, the agent rehydrates the context by reading the board, maintaining seamless project continuity.
• Brand Identity Control: It allows for the configuration of style rules and tone-of-voice settings that the agent strictly follows to avoid the generic language typical of AI.

In terms of practical execution, Plainpaper integrates with external tools like Shopify, Klaviyo, Meta Ads, and Mailchimp via MCP servers. This enables the agent to prepare ready-to-publish assets, such as HTML emails or social media creatives, and place them on the board for review. Upon completion, performance metrics return to the canvas as result cards, allowing data to inform the strategy for the next campaign. It is a robust infrastructure for centralizing marketing logic driven by AI tools within a single operating environment.