Learning Center
AGI Learning Hub
Track where AGI-CAD is on the path from single-model tooling to self-improving swarms. Understand each stage and what it takes to get there.
AGI Trajectory Overview
4 StagesClick each stage to learn more about what it means and how to get there.
What this looks like in AGI-CAD
- Claude, GPT-4, Gemini, and Grok work together
- Swarm voting for consensus-based answers
- Specialized agents for code, design, and security
What's required to get there
- Pro tier or higher
- Swarm mode enabled
- BYOK keys optional but recommended
Current Status
How to Contribute to the Swarm
Every interaction helps the system learn. Here's how you can accelerate AGI progress.
Good prompts help the swarm learn
Clear, specific prompts help the swarm understand pattern boundaries and improve routing decisions.
Use BYOK to unlock serious work
Bring your own API keys to remove fallback limits and enable full multi-model consensus.
Vote on PRIME improvements
Review and approve proposed system improvements. Your feedback shapes how the swarm evolves. All decisions are logged in a tamper-evident PRIME Audit Trail.
Review PRIME Improvement Proposals
Open the Governance Lab to see pending proposals and help shape the swarm's evolution.
Four Tabs Style: Flow With Many Models
AGI-CAD Martial Art
Draft spec in AGI-CAD → ask Claude to critique → use Codex to patch files → paste final diff back to AGI-CAD Chat for archival.
This is how beginners can get near-pro output with mostly free tools.
Ready to dive deeper?
Explore the Command Center to see real-time swarm metrics and PRIME activity.
Enter Command Center