Getting Started with Quantin: From Workspace to First Intelligence Run

Quantin is a connected intelligence layer for teams that need to observe information, reason with context, and turn conclusions into controlled action. A successful first setup is less about enabling every capability and more about creating one narrow workflow with clear inputs, ownership, and review rules.

1. Define the first outcome

Begin with a task that has a measurable result and a known owner. Good starting points include preparing a market briefing, classifying an operational alert, summarizing a research packet, or producing a recommendation for human review. Avoid starting with a broad instruction such as “optimize the business.” A bounded outcome makes quality and risk easier to evaluate.

2. Prepare the workspace context

A Quantin workspace should contain only the context required for the selected workflow. Identify authoritative sources, document owners, data freshness expectations, and any information that must remain restricted. Where multiple sources describe the same concept, decide which source wins during a conflict.

• Sources: datasets, documents, feeds, and internal systems.
• Policies: access rules, review requirements, and prohibited actions.
• Outputs: the report, signal, decision object, or downstream action.
• Owner: the person responsible for accepting or rejecting the result.

3. Choose an operating mode

Use an assistive mode for early runs: Quantin observes and reasons, while a person approves the final output. Increase autonomy only after the workflow has produced reliable results across normal cases and known edge cases. Actions that affect customers, capital, permissions, or production systems should keep explicit approval gates.

4. Run and review

During the first run, review the evidence used, the assumptions made, the confidence level, and the proposed action. A useful result should be traceable: reviewers must be able to understand where the conclusion came from and what could invalidate it.

First-run checklist

1. Confirm that every input is current and authorized.
2. Check that the requested outcome is specific.
3. Review evidence and confidence, not only the final answer.
4. Approve, revise, or reject the proposed action.
5. Record feedback for the next run.

Next step

Once the first workflow is stable, connect a second source or automate one low-risk step. Grow the system gradually, preserving the same evidence, permission, and review standards at every stage.