Bubble Powers Playgram AI Workspace Consolidating Multiple Models for Teams.

Playgram has launched a collaborative AI workspace that brings multiple AI models into a single interface with team-level memory, addressing common friction points in multi-model workflows. Built entirely on Bubble, the platform emerged from internal needs at Zeroqode before expanding into a standalone product.

The tool consolidates access to major AI models, eliminating the need to switch between tabs, re-explain company context across different interfaces, or manually share outputs through messaging apps. Team-level memory ensures that context persists across sessions and team members, allowing collaborators to build on previous conversations rather than starting fresh each time.

Playgram started as an internal solution at Zeroqode, a no-code development agency. The team recognized that the workflow challenges they faced, particularly around model comparison and context management, were not unique to their organization. Rather than continue patching together multiple AI subscriptions and communication tools, they built a unified workspace.

The decision to build on Bubble proved strategic for development velocity. According to the team's LinkedIn announcement, the platform allowed them to "move fast" during development. This approach mirrors a growing trend of teams using no-code platforms to build and scale AI-powered applications without traditional software development timelines.

The platform targets specific pain points in team AI workflows:

Context preservation: Team members can access shared memory that retains company information, project details, and previous interactions across all models.

Model comparison: Users can test prompts across different AI models without leaving the workspace or manually copying outputs between tools.

Collaborative outputs: Teams can view, iterate on, and build upon each other's AI-generated content without relying on external communication channels.

This consolidation approach differs from tools that specialize in single models or require extensive integration work. By centralizing access and adding persistent memory, Playgram positions itself as infrastructure for teams already committed to AI workflows but frustrated by coordination overhead.

Building on Bubble allowed Zeroqode to leverage visual programming for complex workflows while maintaining the flexibility to integrate multiple AI APIs. The platform demonstrates how no-code tools can handle sophisticated technical requirements, including API orchestration, user authentication, and real-time collaboration features.

The team has not disclosed specific pricing or availability details in their initial announcement. However, the internal-tool-to-product trajectory suggests the platform has already proven its value in production use at Zeroqode before opening to external teams.

For organizations evaluating collaborative AI tools, Playgram represents a different architectural approach than prompt management tools or AI gateways. By focusing on shared workspace and memory rather than governance or cost optimization, it targets teams where coordination friction outweighs individual tool preferences.