Giselle
Giselle is an AI app builder for product and engineering teams that want to ship AI‑driven workflows without building everything from scratch. It focuses on multi agent, multi model automation across the product lifecycle, from deep research and PRD generation to code review and self updating documentation, with strong GitHub integration and a visual builder that keeps most work out of the command line.
Make a decision about Giselle
- Already use it? Add Giselle to Stack Autopsy — check cost, overlap and safe cancellations.
- Thinking about buying it? Ask AI Advisor — compare fit, alternatives and trade-offs.
- Want to leave it? Find a replacement — see feature losses and migration risks.
Pricing
- Open Source: Free; includes agent creation and deployment, multi-agent workflows, data-driven intelligence, and a no-code AI agent builder.
- Free: $0 per month; includes 30 minutes of AI model usage, access to basic AI models, managed cloud deployment, and a single user account.
- Pro: $20 per month; includes all Free features plus $20 in AI credits monthly, access to premium AI models, GitHub and document vector stores, single user account, and email support.
- Team: $100 per month; includes all Pro features plus team collaboration and sharing, up to 10 users, and priority email support.
Features
- Multi‑Model Composition: Connects to multiple frontier foundation models and auto selects the best one for a task.
- Visual Agent Builder: Drag and drop interface for designing agents and multi step workflows without code or prompt gymnastics.
- Knowledge Store: Built in vector stores for documents and GitHub repos so agents can query product specs, code, and docs.
- GitHub AI Operations: Automates pull request reviews, issue triage, and deployment related updates directly from repository activity.
- Prebuilt Product Agents: Ready made Deep Researcher, PRD Generator, Code Reviewer, and Doc Updater agents tailored to product teams.
- Security‑First Design: ISO/IEC 27001 compliant, with SOC 2 in progress, plus a self hosted open source option.
Use cases
- Engineering Teams: Using agents for automated code reviews, changelog drafts, and incident postmortem summaries.
- AI‑Native Startups: Relying on Giselle to keep tiny teams shipping specs, docs, and experiments quickly.
- Solopreneurs & Fast Builders: Spinning up AI powered products and internal tools without hiring extra engineering help.
- Tech Writers & DevRel: Keeping READMEs, guides, and release notes in sync with repository changes.
- Uncommon Use Cases: Utilized by innovation groups to prototype internal research agents on top of company docs; Adopted by open source maintainers to triage issues and propose release notes automatically.