What needs to happen?
Be concrete about the input, transformation, and result.
Complexity should earn its place
Describe the job. Mark the capabilities it truly needs. Get the first sufficient answer in the right order: spreadsheet, workflow, code, then agent.
The recommendation changes only when the task earns a heavier capability. Nothing is added for novelty.
Be concrete about the input, transformation, and result.
Select requirements, not ambitions.
Structured rows, formulas, filters, and a human-controlled run are enough.
Triggers and handoffs connect known systems without custom software.
Custom logic, scale, or strict validation justify a maintained program.
Structured input and repeatable formulas can keep this simple.
Analyze a task to see which heavier layers you avoid.
A more capable layer is not automatically a better fit. Each step adds cost, failure modes, and ownership.
The best automation architecture is the first one that can deliver the outcome truthfully, reliably, and without pretending complexity is intelligence.
Use a spreadsheet for structured inputs, visible calculations, and human-reviewed runs. It is inspectable, editable, and often already in the team's hands.
Add a workflow when timing and movement between known systems are the real requirement. Keep the transformations explicit.
Write code when the rules, validation, scale, or performance cannot be expressed safely in the lighter layers.
Use an agent only for unstructured interpretation, contextual decisions, and changing plans. Give it boundaries, evidence, and a recovery path.
Explore each layer's natural territory. The workbench always stops at the first sufficient one.
Run the workbench on the task in front of you, then export the smallest honest implementation brief.