03 · AI runtime architecture
AI & Automation
Show how AI connects people, systems, data, and human review.
Workspace carries people and tasks, Gateway manages model access, and Models provide capability; knowledge, tools, workflows, and human review determine the business result.
Current task
Answer a customer question
- 01
Workspace
Load conversation, customer context, and service state
- 02
Gateway
Check knowledge access, answer policy, and available models
- 03
Models
Draft a response grounded in available evidence
Review ruleHand off when evidence or confidence is insufficient, or a commitment is required.
Business and runtime boundaries
Model calls are an intermediate layer; business state and human ownership remain visible
- 01
Knowledge and tools
Put business material, retrieval, and callable tools into task context.
- 02
Workflow
Keep generation, state, system actions, and the next owner continuous.
- 03
Human review
Keep an explicit review point before publishing, service, or critical business actions.
- 04
Logs, cost, and quality
Record calls, usage, outcomes, and fallback conditions for operating decisions.
Applicable commercial offers
Live product entry
- SoloCore WebUI
A live AI workspace for multiple models, files, images, knowledge, and assistants.
- SoloCore API Node
A live gateway product for unified model channels, keys, quota, logs, and compatible APIs.
Productized case
Case study
LinkinPro Content Operations PlatformA productized case connecting brand knowledge, AI generation, approval, publishing preparation, metric recording, and report structure.
Next operating decision
Map one business decision that needs to be carried reliably.
Bring the current input, required approver, existing systems, and boundaries that cannot be crossed. We will then place models, knowledge, tools, and human review deliberately.