Build teams of AI agents that collaborate, automate workflows, and complete complex tasks together.
Loop Engineering AI
About Loop Engineering AI
Loop Engineering AI is a mobile application that lets users design AI systems as visual graphs, structured execution loops and reusable prompts. The tool supports three stages of AI engineering: prompt engineering for single instructions, loop engineering for self-correcting agents, and graph engineering for multi-node workflows with shared state and validation. Users can create nodes with specific roles, define conditional routing between them, and set stop conditions to cap iterations, time and cost. The platform includes a visual graph editor, analyzer for architecture scoring, and export options for frameworks like LangGraph and CrewAI. It also offers a learning academy with structured tracks and supports local-first operation with Bring Your Own Key (BYOK) for Gemini AI. Desktop versions for Windows and macOS are in development.
Key features
- Visual graph editor with drag-and-drop nodes
- Loop builder with plan-execute-validate-retry cycles
- Graph analyzer with warnings and suggested improvements
- Conditional routing between nodes
- Shared state object across workflows
- Validator nodes for quality gates
- Human approval checkpoints
- Framework export for LangGraph, CrewAI and others
Use cases
- Designing multi-agent AI workflows
- Building self-correcting agent loops
- Creating reusable prompt templates
Pros
- Local-first operation with project library
- Visual graph editor for multi-node workflows
- Built-in analyzer for architecture quality assessment
- Framework exports for production teams
- Learning academy with structured tracks
Cons
- Mobile-only at launch
- Desktop versions not yet released
- No desktop canvas for larger graphs yet
Frequently asked questions about Loop Engineering AI
What is Loop Engineering AI?
Loop Engineering AI is a mobile application that enables users to design AI systems as visual graphs, structured execution loops, and reusable prompts. It supports three stages of AI engineering: prompt engineering, loop engineering, and graph engineering.
Who is Loop Engineering AI for?
The tool is designed for professionals who want to move beyond one-off prompting and engineer AI systems, including developers, researchers, and teams building multi-node workflows.
What platforms does Loop Engineering AI support?
Loop Engineering AI is currently available as native iOS and Android apps, with desktop versions for Windows and macOS in development.
Does Loop Engineering AI support local operation?
Yes, the app operates locally-first and supports Bring Your Own Key (BYOK) for Gemini AI.
Can I export workflows from Loop Engineering AI?
Yes, workflows can be exported as scaffolds for frameworks like LangGraph, ADK, OpenAI Agents SDK, CrewAI, AutoGen, n8n, and Make, as well as Mermaid diagrams for documentation.
Does Loop Engineering AI include learning resources?
Yes, the platform offers a Learning Academy with structured tracks to help users improve their AI engineering skills across prompt, loop, and graph engineering.