Understand the active request
Preserve the user’s message, identity, workspace, and relevant conversation state.
DGxOne Intelligence
Intelligence is assembled before an answer is generated.
Chief AI coordinates trust, authorized context, evidence, research, and provider reasoning so the model is not forced to work from the user’s message alone.
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Chief AI
One executive intelligence layer coordinates the conversation.
Chief AI owns the conversational context and directs the systems required for each request. It does not replace knowledge, memory, trust, evidence, or the reasoning provider—it coordinates them.
Select the required intelligence
Determine whether knowledge, memory, research, evidence, or mission execution is required.
Carry authorized context forward
Keep approved information available across conversations and structured work.
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Intelligence Pipeline
Defined stages build a trusted reasoning context.
Each stage has a separate responsibility. No single external model owns the full intelligence process.
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User request
DGxOne receives the message and active workspace context.
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Trust evaluation
Sensitive content is classified and provider permissions are determined before external use.
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Context retrieval
Knowledge, approved memory, research, and evidence are gathered when relevant.
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Provider reasoning
The selected model receives bounded, policy-approved context.
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Answer or mission
DGxOne returns a conversational result or continues structured work in Mission Control.
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Intelligence Foundation
Context comes from specialized systems.
Knowledge
Documents and indexed sources
Retrieves relevant content from the user’s authorized Knowledge Vault before model generation.
Memory
Approved long-term context
Preserves useful preferences, facts, decisions, and project continuity according to memory policy.
Evidence
Grounding and source identity
Represents retrieved information as structured evidence with content, source identity, citations, and confidence metadata.
Research
Current external information
Uses configured research providers when the request requires information beyond stored knowledge.
Trust
Classification and routing
Evaluates requests before external reasoning and applies redaction, approval, local-only, or blocked handling when required.
Provider Independence
Models reason. DGxOne preserves the intelligence.
OpenAI, Grok, local models, and future providers can be selected according to configuration and trust policy.
User identity, knowledge, approved memory, evidence, mission history, orchestration, and runtime state remain part of DGxOne rather than becoming the permanent identity of an external model.
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Current Capability Boundaries
The public experience should describe what exists—not what is merely planned.
Conversation intelligence
Chief AI, trust evaluation, provider routing, knowledge retrieval, memory context, and research are integrated into the conversation pipeline.
Evidence intelligence
Structured Evidence Engine contracts, Knowledge evidence conversion, and internal evidence assembly are implemented as the foundation for deeper integration.
Executable vision intelligence
Vision workspace concepts exist, but the public site does not present an operational Vision Agent until its executable backend is complete.