Giselle is a platform built to design and run AI workflows that actually complete. It eliminates infrastructure setup entirely—you just build and run. With a visual node editor and real-time tracking, Giselle handles complex, long-running tasks by combining models from multiple providers in a single canvas. It’s designed for teams that want to automate repetitive work without wrestling with deployment or orchestration.
Create AI agents in minutes using a drag-and-drop node editor. No coding required—just connect inputs, models, and outputs to build workflows that run reliably.
Auto-select the best model for each task from multiple providers. Giselle intelligently routes work to the most suitable model, so you don’t have to manually choose or switch between APIs.
Access external data sources directly within your workflows. Pull from databases, documents, or APIs to ground AI outputs in real, up-to-date information.
Automate issues, PRs, and deployments with AI. Giselle integrates directly with GitHub to handle repetitive development tasks, from code review to release notes.
Giselle doesn’t replace human creativity—it amplifies it.
This philosophy drives the entire product. Instead of forcing you to adapt to rigid automation, Giselle automates the repetitive so your team can focus on high-impact thinking and fast iteration. The AI-first architecture connects to any foundation model and adapts as the frontier evolves—no rewrites, no friction. It’s built for teams that want to scale with lean, AI-native operations.
You’re an engineering team, solopreneur, or tech writer looking to automate complex, multi-step workflows without infrastructure overhead. Giselle is especially useful if you need to combine models from different providers, handle long-running tasks, or keep documentation and code reviews in sync with live development.
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