Understanding Quantin Core Intelligence: Context, Reasoning and Memory
An architectural guide to the context, reasoning, memory, and evidence layers that allow Quantin to produce grounded and reviewable decisions.
Core Intelligence is the reasoning layer that connects information from multiple systems and turns it into a decision-ready result. It is designed around four concerns: assembling relevant context, reasoning within policy, retaining useful memory, and exposing evidence for review.
Context assembly
Context is selected for the current task rather than copied wholesale into every run. Quantin can combine workspace instructions, recent observations, retrieved documents, structured records, and tool results. Each item should retain its source, timestamp, and access scope so that downstream reasoning remains auditable.
Reasoning within boundaries
The reasoning layer interprets the task, develops candidate conclusions, checks available evidence, and produces a structured result. Policies define which tools may be used, which actions require approval, and which claims need stronger support. Deterministic business rules remain outside the model when exact enforcement is required.
Memory types
Run memory
Temporary state used during one execution, including intermediate observations and tool results. It should expire with the run unless selected information is promoted.
Workspace memory
Durable conventions such as terminology, approved procedures, and stable preferences. Workspace memory should have an owner and review date.
Operational history
Past decisions, outcomes, approvals, and incidents. This history supports evaluation and improvement, but it should not silently become policy.
Evidence and traceability
A useful decision includes references to the observations that materially affected it. Evidence should distinguish direct facts from inferences. When sources disagree, the result should expose the conflict rather than blending it into false certainty.
Design principles
- Use the smallest context set that can support the task.
- Keep permissions attached to data throughout the run.
- Separate durable policy from temporary conversation.
- Record why an action was proposed and who approved it.
- Expire or review memory that may become stale.
These layers allow Quantin to behave as a connected intelligence system without turning every conclusion into an opaque or irreversible action.