Gooey.AI
No-code AI workflow builder with 100+ model integrations for creating multi-step pipelines combining LLMs, image generation, speech, and document processing.
Gooey.AI is a no-code platform for building and deploying multi-step AI workflows that combine large language models, image generators, text-to-speech, and document processing APIs into unified pipelines deployable as a URL or API endpoint. Users build workflows visually by selecting from 100+ AI model integrations and chaining them together, then share or deploy the resulting recipe without writing code. The platform is built around an open recipe model where all community workflows are public and forkable - creating a collaborative library of tested AI pipelines. Gooey.AI has raised seed funding and is used by organizations in agriculture, healthcare, and international development where non-technical teams need custom AI workflows without engineering resources.
Key Features
- 100+ AI model integrations including GPT-4, Claude, Gemini, Stable Diffusion, ElevenLabs, and Whisper in one platform
- Visual workflow builder for chaining models without writing code or managing separate API keys and SDKs
- Public recipe library - browse and fork thousands of community-built AI workflows for common use cases
- Deploy as REST API with auto-generated documentation for integrating workflows into any application
- Embedded widget for adding AI pipeline features to websites and apps without backend development
- Evaluation and A/B testing tools for comparing model performance across different pipeline configurations
Use Cases
- Non-technical teams building document processing pipelines that combine OCR, translation, and summarization automatically
- Content teams automating social media production by combining image generation and copywriting in one workflow
- Developers prototyping multi-model AI features to validate product ideas before committing to production infrastructure
- NGOs and field teams using text-to-speech and translation workflows via simple URL access in low-bandwidth environments
Pros
- 100+ model integrations in one place eliminates managing separate API keys and SDKs for each AI provider independently
- Public recipe library dramatically accelerates workflow building with tested starting points for common use cases
- Free credits on signup allow genuine evaluation without a credit card, unlike many enterprise AI platforms
Cons
- Per-run pricing can be expensive for high-volume production workflows compared to direct API integrations with negotiated rates
- Visual workflow builder is less powerful than code-based tools like LangChain for complex conditional logic and error handling
- Community recipes may use outdated model versions or configurations that no longer perform as expected without maintenance
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