Gamma Builds a Design-Centric AI Agent Using Vercel

Gamma helps users generate presentations with perfect layout and hierarchy from just a single sentence. Beyond simple generation, it has evolved toward strengthening user interaction and managing complex context and conversation state through its conversational editing feature, Gamma Agent.

Instead of its own orchestration code, Gamma adopted the Vercel AI SDK to evolve agent behavior without redesigning its backend. In particular, thanks to an image pipeline leveraging ImageModelV3, new models can be quickly integrated with just 30 lines of code, and model-specific optimization strategies are managed at the feature code level rather than the infrastructure level.

Rather than spending energy building infrastructure, Gamma maintains a fast deployment cycle by leveraging Vercel's Preview Deployments and Instant Rollbacks. Despite being a team of about 20 engineers, it performs an average of over 250 deployments per day, achieving a 99% success rate and fast deployment speed.

To convert AI-generated HTML into structured documents, Gamma uses Vercel Functions. Within serverless endpoints, it instantiates the Tiptap editor schema via JSDOM, converting LLM output into editable content in real time.