

Giselle is an AI agent studio designed to power product delivery by enabling teams to design, deploy, and automate chain-of-thought agents. These agents handle everything from product research and PRD creation to code reviews and documentation, allowing small teams to operate at enterprise scale.
Key features include Deep Researcher for reviewing web and internal sources to extract insights, Code Reviewer for analyzing commit history and coding standards to review PRs automatically, PRD Generator for turning GitHub activity into structured PRDs and specs, and Doc Updater for automatically keeping knowledge bases in sync with code changes. The platform also offers visual agent building with no coding required and connects to multiple AI models seamlessly.
Giselle works through a visual node editor that allows users to build AI workflows without infrastructure setup. It handles complex, long-running tasks with real-time tracking and enables combining models from multiple providers in one canvas. The chain-of-thought agents collaborate to generate ready-to-use documentation and code comments from single prompts.
The platform automates repetitive tasks to free teams for high-impact thinking and fast iteration. Use cases include product research, competitor analysis, automated PR reviews, documentation generation, and keeping knowledge bases updated automatically when code changes occur.
Giselle is built specifically for AI-native product teams and innovative startups aiming to scale with lean teams. It integrates with tools like GitHub and Cursor, and is designed with security compliance including ISO/IEC 27001 with SOC 2 certification planned.
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Giselle is purpose-built for AI-native product teams and innovative startups aiming to scale with lean, focused teams. It serves companies that want to operate at enterprise scale using AI automation for product development tasks. The platform is designed for teams that need to automate research, code reviews, documentation, and PRD generation without extensive engineering overhead.