Greg
An AI-powered workflow automation platform that turns natural language instructions into fully executed software projects — from idea to deployment in minutes, not days.
Six core capabilities that power the platform, working together to automate the entire software delivery lifecycle.
Describe what you need in plain language or voice. LaunchPad interprets your intent, breaks it into actionable tasks, and kicks off execution automatically.
Specialized AI agents collaborate to plan, code, test, and review. Each agent owns a step of the pipeline, ensuring quality at every stage.
Production-grade code is generated from specifications, following best practices, your style guides, and existing codebase conventions.
Distribute work across multiple machines in parallel. Large projects are split into independent units and executed simultaneously for maximum throughput.
Every change is validated with automated tests before merging. Regressions are caught early, keeping your main branch stable and deployable.
Ship to production with a single action. LaunchPad handles builds, asset optimization, environment configuration, and rollback safety.
From a spoken idea to a deployed application — the automation pipeline in five steps.
You describe what you want built using natural language — voice, text, or a spec document. The platform parses your intent and identifies deliverables.
AI agents analyze the request, generate a structured plan, and break it into parallelizable work units with clear acceptance criteria.
Work units are distributed across the fleet. Each machine picks up tasks, generates code, runs builds, and reports progress in real time.
Automated tests run against every change. AI reviewers check for correctness, security, and style. Failed checks trigger automatic rework.
Once all checks pass, the platform packages the result, runs final integration tests, and deploys to your target environment.
A modern stack designed for reliability, scalability, and developer experience.
A responsive web application with real-time updates via WebSockets. Includes a voice interface for hands-free operation and a CLI for power users.
RESTful endpoints handle project management and configuration. WebSocket connections stream live progress, logs, and agent activity to all connected clients.
The Task Planner decomposes work. The Agent Orchestrator assigns specialized AI agents. The Fleet Scheduler distributes execution across available machines.
Persistent storage for projects, tasks, and history. A fleet of execution machines that scale horizontally. Pluggable deploy targets for any hosting provider.
Terminology you will encounter when using the platform.