Inspiration
Many people spend hours on repetitive tasks that could be automated, but traditional workflow automation tools often require users to understand complex configurations, APIs, triggers, and integrations.
We wanted to make workflow automation more accessible by allowing people to describe what they want to accomplish in natural language, rather than manually building every step from scratch.
What It Does
FlowForge AI is an AI-powered workflow automation platform that transforms natural-language instructions into structured, editable workflows.
Users can describe a task, let AI generate a sequence of steps, review and modify the workflow, and test it before execution. The goal is to make automation easier to create, understand, and manage.
How We Are Building It
We are using Kiro to assist with the development process, from planning and architecture to implementation and debugging.
Our initial focus is an end-to-end workflow creation experience: understanding user instructions, generating structured workflow steps, validating the generated workflow, and providing an interface for users to review and control execution.
We aim to combine AI capabilities with a reliable and transparent execution process.
Challenges
One of the main challenges is turning flexible natural-language instructions into workflows that are structured, valid, and executable.
Other challenges include handling missing information, managing tool and API integrations, validating inputs, and preventing unintended actions.
We are focusing on workflow validation, clear execution previews, and keeping users in control of important actions.
What We Hope to Learn
Through this project, we want to explore how AI agents can simplify complex automation tasks while maintaining reliability, transparency, and user control.
