Crawbl Documentation
AI swarms that feel like a product, not a science project
Crawbl is building a platform where agents can coordinate, remember, ask for approval, and take action without forcing every team to invent the surrounding system from scratch. These public docs explain the product shape, the platform story, and where the roadmap is heading.
Why this public site exists
It is easy for agent products to collapse into backend jargon. The public docs take the opposite approach: explain the human experience first, then reveal the platform shape behind it.
A product, not a pile of pieces
Crawbl is meant to feel like one coherent AI platform, not a bundle of separate agent, memory, approval, and deployment tools.
Readable by non-specialists
The public docs explain what the platform does in human language first, then add only the technical detail needed to make the story concrete.
Visual on purpose
The key pages use diagrams, callouts, and interactive sections so visitors can scan, click, and understand instead of reading walls of text.
What makes Crawbl distinct
Click through the platform themes below. Each one points to a page that expands the story without dropping readers into API-level detail.
Coordination
The platform is built for tasks that are too large for a single model response. It gives work structure, timing, and handoffs so users see progress instead of chaos.
- Multiple agent roles can contribute to one outcome.
- The user sees one shared experience instead of many disconnected tools.
- Longer tasks remain understandable because work is coordinated visibly.
Read in this order
The public docs are intentionally compact. Start with the product, move into the platform, then finish with the company direction and roadmap.