Giselle is the AI agent studio powering product delivery. It allows users to design, deploy, and automate chain-of-thought agents that handle everything from product research and PRD creation to code reviews and documentation, enabling small teams to operate at enterprise scale.
The platform features a visual agent builder with drag-and-drop interface for creating agents without coding or prompt engineering. It includes capabilities for deep research, code review, PRD generation, and document updating. Giselle supports integration with GitHub, databases, and project tools, and can connect to multiple AI models from providers like Anthropic, Google, and OpenAI.
Giselle works through a visual node editor where users can build workflows by connecting components. Agents collaborate in chain-of-thought processes to generate ready-to-use documentation, specs, and code comments from single prompts. The platform includes real-time tracking for complex, long-running tasks and supports multi-model composition where agents auto-select the best model for each task.
The product automates repetitive tasks so teams can focus on high-impact thinking, fast iteration, and bold decisions. Use cases include automating PR reviews, keeping knowledge bases in sync, generating product requirements documents, and conducting competitor analysis. It enables faster product development cycles and reduces manual documentation work.
Giselle is built for AI-native startups, solopreneurs, fast builders, product-led engineers, tech writers, DevRel teams, and innovation teams at modern enterprises. It integrates with GitHub, PostgreSQL, Slack, Google Drive, Jira, and supports custom integrations via API or MCP in future updates. The platform is ISO/IEC 27001 certified with SOC 2 in progress.
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Giselle is built for AI-native startups aiming to scale with lean teams, solopreneurs and fast builders who want to focus on coding while agents handle planning and docs, product-led engineers moving from idea to implementation without context switching, tech writers and DevRel teams who need automated documentation updates, and innovation teams at modern enterprises embedding AI-native workflows into existing systems. It enables small, focused teams to deliver significant results through AI automation.