1. Labs is where public research guidance lives
Use Labs when you want to understand why DeepBrainz is working on a given direction, how R-series research is framed, what research lanes exist, or how public releases relate to evaluation and limitations.
Labs pages should be read as technical background and evidence direction. They help you understand what the team is investigating, how product claims should be interpreted, and where support boundaries may differ from research ambition.
2. Use the right source for the right question
A common mistake is using one product or page for every question. Corporate pages, model releases, and research pages each do different jobs.
- Use deepbrainz.com for the product map and official public framing.
- Use Hugging Face for direct public model release files.
- Use Labs for research guidance, evaluation direction, release interpretation, and limitations.
3. Read research claims with discipline
Labs pages may describe research focus, technical direction, and what a model line is trying to prove. That is useful, but you should still separate public evidence from ambition and supported release status from exploratory work.
4. Use Labs to understand product relationships
Labs is also the best place to understand how Lexopedia AI, AgentFoundry, and DeepBrainz-R relate to each other. The stack makes more sense when you see Labs as the research organization rather than a second marketing site.
5. Escalate unclear release questions
If you cannot tell whether a release, checkpoint, or research page is meant for production evaluation or general technical reading, contact support and link the exact page you are reading.