
Giselle lets users visually design no-code AI workflows that combine leading language models with their own data to automate research, reporting, and creative content generation.
Giselle is a no-code platform for visually building custom AI applications that automate knowledge work. It allows users to design workflows that combine leading language models with their own data and tools, enabling consistent, repeatable outputs for research, reporting, and creative tasks. The primary purpose of Giselle is to help teams operationalize AI in a structured, controllable way without requiring engineering resources or prompt-engineering expertise.
Giselle provides a visual editor where users can assemble AI workflows from modular building blocks such as prompts, data sources, logic branches, and external integrations. It supports connecting to top AI models, uploading or linking private knowledge bases, and configuring how outputs should be structured or formatted. Users can define multi-step processesβsuch as gathering information, analyzing it, and generating summaries or reportsβand run them on demand or at scale. Versioning, testing, and parameter controls help maintain consistency and quality across repeated runs.
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