Forge. An AI That Builds Software. Autonomously.
The industry average for autonomous AI agents on real-world tasks: 15%. Ours: 89%. The difference is methodology.
How Forge builds
Not prompt-and-pray. A structured methodology that delivers.
Mission planning
Commander and AI in the cockpit together. Collaborative scope definition, discovery, decomposition. No ambiguity survives the planning phase.
Flight decomposition
Every mission breaks down into parallelizable flights — independent units of work with clear acceptance criteria. Each flight knows exactly what success looks like.
Autonomous execution
Independent Claude Code sessions executing in isolation. No context bleed. No interference. Each flight runs clean with its own scope, its own tests, its own verification.
Acceptance testing
Built into every flight. Not an afterthought — a gate. Nothing ships without passing its acceptance criteria.
Self-correction and retry
When a flight fails, Forge diagnoses the root cause, adjusts its approach, and retries automatically. No human intervention required for recoverable failures.
Lessons learned
Every mission feeds back into the system. Patterns, pitfalls, and solutions are captured permanently. Forge gets better with every build.
Production track record
Real missions. Real deliverables. Real numbers.
89%
First-pass success rate
9
Missions delivered
12
Flights in a single night
9 missions delivered. 12 flights in a single night. 11 first-pass clean.
Websites, web apps, automation systems, database schemas, API integrations — built autonomously from business requirements.
What Forge builds
Anything with a codebase.
Full-stack web applications
Frontend, backend, database, deployment. Complete applications from requirements to running code.
Automation systems
n8n workflows, Python daemons, scheduled jobs, event-driven pipelines. Complex automation with error handling built in.
Database architectures
Schema design, migration scripts, query optimization, ETL pipelines. Data infrastructure from scratch.
API integrations
Connect any system to any system. REST, GraphQL, webhooks, polling — whatever the target API supports.
Dashboards and reporting
Real-time dashboards, scheduled reports, data visualization. From operational metrics to executive summaries.
AI-powered tools
Prompt engineering, model integration, intelligent routing. AI features built with the zero token-ware philosophy — AI only where it earns its cost.
The Prompt Design Engine
Business requirements in. Executable AI missions out.
The Prompt Design Engine (PDE) is how Forge converts business intent into technical execution. It draws from the Athena knowledge base — accumulated patterns, domain context, and proven approaches — to construct prompts that produce consistent, high-quality output.
PDE is why Forge hits 89% first-pass. It is not the AI model that matters most — it is the quality of the instructions the model receives. A well-structured prompt with the right context beats a better model with a vague prompt every time.
The industry average for autonomous AI agents completing real-world software tasks: 15%. Forge runs at 89%. The difference is not the model. It is the methodology — mission planning, flight isolation, acceptance gates, self-correction, and a lessons learned system that compounds with every build.
See what Forge can build
Describe the problem. We will show you the mission plan.