Grounding
Grounding is supplying a model with the sources it should rely on before it answers, so the output is constrained by evidence rather than by the model's guesswork. It improves what goes into generation; it does not test what came out, which is verification's job. The two are parallel disciplines, not interchangeable ones: a well-grounded system can still produce a fluent claim no source supports.
Related terms
Where this term is used
On Nucleus
Playbook
Add Nucleus to ChatGPT
ChatGPT supports custom MCP connectors. Nucleus is an MCP endpoint. So Nucleus adds in as a custom connector and becomes ChatGPT's one grounded, joined memory across every source.
Playbook
Nucleus + ClickUp task flow
Wire your ClickUp tasks and docs into one reasoning layer.
On The AI Brain
Research
The Al Jazeera Research Demonstration
Same frontier model, three conditions, categorically different output.
Research
When Context Collapses: What a Geopolitical Crisis Revealed About AI's *Missing Layer*
During the Iran-US escalation cycle, we ran frontier AI models against the same questions under different context architectures. Five failure modes emerged that no model upgrade will fix. They are pr…
Use case
Client-Ready Intelligence, Co-Built and White-Labeled