Users rarely start with a blank page. They start with documents from their desktop, transform them within applications, then in some cases generate reports with AI analysis, or export contracts for client review.
AI-native companies knew what their users needed but lacked the editing tools to build it. Tiptap became the bridge between their vision and the technical reality of making documents work seamlessly in their platforms.
All their innovation becomes irrelevant if they can't seamlessly integrate into how their users actually work with documents. The solution was to create a product approach that turns document process and editing innovation into a competitive moat for AI-native disruptors.
Documents become application infrastructure by adding APIs to the Editor and backend that allow customers to innovate in the space, providing the right context at the right time and enabling document manipulation across both frontend and backend systems.
Athena Intelligence shows how this works in practice. Using Tiptap's infrastructure, they built an AI platform that handles document workflows for finance, law, and consulting teams. Their system can inspect documents in bulk, redact contracts, and analyze competitive intelligence while learning what each organization prefers. This lets analysts focus on insights rather than document processing.
Partnered with the CTO to structure the engineering organization so that engineers own the product development process end-to-end. Each engineer works across the full stack for their features, owning both frontend and backend capabilities while staying close to customers through beta programs and direct conversations. With this structure, we achieve faster development cycles and products that solve user problems, driving growth for our highest contract value customers.
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Organized quarterly hackathons to prototype document infrastructure features and validate the strategic direction with quick experiments and team feedback. These sessions became crucial for testing ideas quickly, getting direct input from engineers who would build the features, and ensuring we were solving real customer problems before committing to full development cycles.