Gamma builds design-first agents with Vercel
250 deployments per day. That's how Gamma ships AI agents 10x faster than the industry standard.
Why it matters
Gamma Agent represents a shift from one-shot generation to persistent, context-aware conversational editing—demonstrating how production-grade agent architecture requires rethinking state management, multi-step orchestration, and real-time context passing. This is a blueprint for how startups can iterate on agent capabilities without architectural debt.
The key facts
9 to knowGamma Agent launched October 2025 with conversational editing capabilities
250+ deployments per day across preview and production
7-minute median deploy time with 99% success rate
1.5 billion images generated across 60 models and 20 providers
New image models added in ~30 lines of code using Vercel AI SDK
Models shipped in hours instead of weeks
Gamma Agent handles multi-step orchestration, message history, cross-agent context passing
Team of ~20 engineers shipping at scale using model-agnostic, composable architecture
Three levels of context identified as critical: session-level, user history, organizational (brand/templates/knowledge base)
Go to the source
Vercel Blogvercel.com
Publisher excerpt: Gamma began with a simple idea: what if your presentation could design itself? With a single sentence, users can generate a complete presentation that respects layout, spacing, and hierarchy. Columns reflow automatically. Diagrams adjust when new layers are added. The product handles the formatting…