What is Kanwas.ai?
Kanwas.ai is a shared context board designed for product teams and AI agents to collaborate seamlessly. It provides a unified workspace where strategy documents, market signals, and agent workflows remain connected, ensuring AI executes with real, transparent context. Unlike fragmented tools like Claude chats, local folders, Obsidian, VS Code, Git, and docs, Kanwas consolidates everything into one platform, enabling teams to create, edit, share, and compound product context efficiently.
Key features include transparent shared context that learns about your business, decisions, and reasoning. The platform supports collaboration between humans and agents over the same context, making evidence, ideas, and trade-offs visible to everyone. It generates structured, execution-ready deliverables for every stage of implementation, from strategy to deployment. Every decision and outcome improves subsequent thinking and deliverables, creating a compounding effect on quality.
Benefits include eliminating context switching and information silos, reducing iteration loops, and enhancing AI reasoning. By providing a rich, shared context, Kanwas helps AI avoid generic outputs and instead produce nuanced, judgment-driven results. Use cases span product strategy, market analysis, feature planning, and agent-driven development. Technical details: Kanwas integrates with existing workflows and supports real-time collaboration, versioning, and structured output generation. It is designed for teams using AI tools like Claude and ChatGPT, bridging the gap between convergent tasks (e.g., coding) and divergent tasks (e.g., strategy) by providing the necessary context for AI to excel at both.
Kanwas addresses the core problem: AI crushes code but fumbles strategy because strategy requires context and judgment. By building a transparent shared context, Kanwas enables AI to understand your unique perspective, making it a powerful tool for product teams seeking to leverage AI without losing the soul of their work.
Use Cases
Key Features
shared context board human AI collaboration transparent context structured deliverables compounding quality reduced context switching unified workspace strategy to deployment supportWho is it for?
product teams, AI agents, product managers, strategy teams, engineering teams, AI developers
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