manas gupta@manas86

What if you didn’t have to program repetitive computer work—you could simply show the computer how you do it? MIRROR is an AI-powered workflow intelligence and verification system that learns repetitive computer tasks from demonstration. It observes a user’s permitted workflow, identifies the underlying pattern, and converts low-level actions into meaningful semantic steps such as Find Invoice → Extract Data → Rename Document → Update Record → Verify. Unlike a traditional macro recorder that blindly replays clicks and keystrokes, MIRROR creates a proposed workflow that the user can review before execution. Explicit human approval is required before automation runs. After approval, MIRROR executes the discovered workflow and verifies the actual postconditions to determine whether the intended result was achieved. Our prototype demonstrates this complete loop using a controlled synthetic invoice-processing environment: OBSERVE → UNDERSTAND → PROPOSE → APPROVE → EXECUTE → VERIFY The goal is to make automation more accessible: instead of manually programming every repetitive task, people can demonstrate how they already work and turn that demonstration into controlled, verifiable automation. MIRROR is currently a hackathon prototype focused on demonstrating the workflow-intelligence concept in a safe, controlled environment.

🌎 Online Hackathon | 💻 Month-long challenge | Dates: Sep 1–30, 2026 | 🏆 $10,000 Prize Pool ($5k cash + $5k in AAI credits) A month-long online challenge run by lablab.ai together with AssemblyAI, the Voice AI infrastructure company for builders. Every participant builds on AssemblyAI. You can join at any point — registration stays open for the whole build window, so you can start on day one or pick the project up halfway through and still submit. 🌍 Fully online hackathon. Join and build from anywhere in the world.