Plan a task before choosing a model.
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Find concise guidance for turning ideas into repeatable AI-assisted work.
Plan a task before choosing a model.
Use projects to retain useful context.
Review sources and costs for consequential work.
How Workspace fits together
A clear outcome makes model, context and budget decisions easier from the beginning.
Projects, files and memory help the next session continue without carrying unrelated material.
Review cost, permissions and provider boundaries before a workflow becomes important.
Learning path
Move from the first task to a repeatable, cost-aware workflow. Each station links to an existing product area and stays focused on one decision.
Six practical stations
Task - context - capability - cost - workflow - trust
Foundation
Define the result, audience and constraints before choosing a model or mode.
Workspace
Use projects, files and memory to preserve only the context that belongs to the work.
Models
Check context, files, vision, tools and reasoning requirements before relying on a model.
Cost
Use Smart or Saver deliberately and review the settled cost after a real request.
Workflow
Turn a successful prompt into an organized project workflow you can continue later.
Trust
Keep permissions, files, external actions and provider boundaries clear before collaboration.
A simple workflow
The workspace keeps the important decisions visible without forcing every request through the same model or process.
Define the outcome and understand which input and output the task actually needs.
Use projects, files and routing modes to turn the principle into a repeatable workflow.
Check capability, cost, source context and sharing before continuing or publishing the work.
Controls that stay visible