1. Start from the job, not the brand name
The fastest way to choose the right surface is to ask what job you are trying to complete. DeepBrainz has a public company surface, product surfaces, model releases, and research surfaces. They are related, but they are not interchangeable.
- Need the product system overview, company overview, or official positioning? Start at deepbrainz.com.
- Need a production research and technical-work workspace? Start at www.lexopedia.in.
- Need reviewed AI-assisted software execution, scoped work, tests, and approval boundaries? Start at www.agentfoundry.in.
- Need the public model line, release names, and supported model artifacts? Start at huggingface.co/DeepBrainz.
- Need research, evaluation, limitations, or labs-side release guidance? Start at labs.deepbrainz.com.
2. Use Lexopedia AI for research-heavy work
Lexopedia AI is the current production knowledge-work layer in the DeepBrainz system. It is the right surface when you need research, synthesis, source review, technical explanation, coding support, or decision-ready structured outputs.
- Good for turning a hard question into a clearer answer, memo, comparison, or next-step plan.
- Good for research and engineering work that benefits from stronger structure than a casual chat interface.
- Not the right surface if your main job is controlled coding-agent execution with approval and review checkpoints — that is AgentFoundry territory.
3. Use AgentFoundry for reviewed software work
AgentFoundry is the reviewed software-work layer. It is the right destination when you need scoped coding-agent runs, repository-aware work, visible constraints, tests, review artifacts, and human approval boundaries.
- Use it when the output is software work that must be reviewed, not just researched.
- Use it when cost, reviewability, and controlled delivery matter.
- Use Lexopedia first if the problem is still ambiguous and needs research before execution.
4. Use DeepBrainz-R and Labs when you need model and research guidance
DeepBrainz-R1 and the larger R-series are the model and agent-systems line. The most complete public model information lives on Hugging Face, while Labs explains research direction, evaluation, release guidance, and limitations.
- Use Hugging Face for concrete public release artifacts and model names.
- Use Labs for research guidance, evaluation direction, and what is exploratory versus supported.
- Do not assume every experiment or checkpoint is a production recommendation.
5. Use the Help Center when you are blocked or unsure
The DeepBrainz Help Center exists to reduce confusion across products and surfaces. Use it when you need product selection help, access support, troubleshooting guidance, model-surface clarification, or a clean way to contact the team.