ChoruslatheSignal studies / 02

A workbench for repeatable thinking

Many steps.
One considered output.

Arrange the operations.
Give every result a rule.

Local example engine.
No remote AI calls or real spending.

The source stays on this device. Profiles change planning units; the local output rules stay deterministic.

Input → Transform → InspectEach step receives the previous output
Recipe allocation

Units per step = profile base +
⌈input characters ÷ 100⌉ × multiplier.

Output preview
Your result belongs here.

Run the recipe to see each transformation and the rule behind it.

Saved in this browser. Export a file to take a recipe with you.

An application first

A useful recipe deserves
a path to execution.

Available locally

Understand the sequence.

Extract sentences, format text and classify with visible keyword rules. Save the recipe and compare illustrative allocations before connecting any service.

Proposed token utility

Credits with a purpose.

CHOR is proposed for workflow run credits, reusable templates and advanced batch processing. Provider access, redemption and settlement are not implemented. No token has been issued by this project.

Your next decision

Choose what earns a slot.

Every operation changes the next input. Start with explicit rules, inspect the intermediate results and keep only the steps your work actually needs.