Giselle

Giselle is an AI app builder designed for AI-native product teams to create, deploy, and manage AI agents through a visual, no-code interface. It enables teams to automate product development workflows from research to documentation, connecting to multiple foundation models and adapting seamlessly as AI technology evolves. The platform is purpose-built for innovative startups aiming to scale with lean teams.

• Visual Agent Builder allows users to design and deploy AI agents visually without writing code or tuning prompts, connecting them to existing tools with zero development overhead.

• Multi-Model Composition enables auto-selection of the best AI model for each task, supporting chain-of-thought agents that collaborate to generate documentation, specs, and code comments from a single prompt.

• Knowledge Store provides access to external data sources including Document Vector Stores and GitHub Vector Stores to enhance agent intelligence with your own data.

• GitHub AI Operations automates issues, PRs, and deployments with AI, including automated code review that analyzes commit history, coding standards, and bug trends.

• Deep Researcher transforms weeks of manual research into minutes of AI-powered analysis, crawling and structuring web and private data sources for market analysis, customer research, and technical due diligence.

• PRD Generator turns GitHub activity and database content into structured product requirements documents, execution plans, and specs ready for tools like Cursor.

• Doc Updater keeps knowledge bases in sync by automatically updating READMEs, release notes, and blog content when code changes are merged.

• Security-First Design includes ISO/IEC 27001 compliance by default with SOC 2 certification in progress, built by a team with proven track record in secure systems.

To get started, sign up for a free account at studio.giselles.ai and begin building AI agents using the visual interface. The platform offers managed cloud deployment for immediate use, or self-hosted deployment options through the open-source version available on GitHub.