Prepare the useful parts.
Scoped file lookups and reusable repository context happen locally. Give the model a focused starting point instead of repeated discovery.
Explore local preparationYOUR IDEAS. YOUR CHOICE OF AI.
A local preparation layer between your ideas and your AI. Less repetitive setup. A clearer starting point for the work.
Start with your own words. Keep the task and what matters together.
CADROVE STUDIO / AN INTERACTIVE EXAMPLE
Illustration · no AI call
No file access. Nothing is sent.
See the shape of a working brief. This example does not process your task or contact an AI.
Use Cadrove with your own tools“Find invoice.csv on my desktop and check the totals.”
A scoped filename lookup can prepare the path before the task reaches your model. Ambiguous matches stay visible.
Local step: scoped filename lookup
Illustrative example. Choose a task to explore the structure.
LESS SETUP. MORE INTENTION.
Preparation, continuity and checks around the tools you already use.
Scoped file lookups and reusable repository context happen locally. Give the model a focused starting point instead of repeated discovery.
Explore local preparationDurable intent, decisions and handoff records help restore a task after context compaction. Support depends on the host and workflow.
Find your workflowFocused checks and inspectable artifacts give you something concrete to assess. A confident answer should come with work you can inspect.
See the evidenceTHE CLAIM SHOULD MATCH THE WORK.
Local preparation is model independent. Total token savings and output quality still depend on the model and task.
Our measurements include runs that saved tokens and runs that used more. The experiment and its limits belong together.
Read the measured outcomesThe request, the decisions, the result. Together.
ONE PERSON. OR A WHOLE TEAM.
Your model and AI tool remain your choice. Cadrove access is a separate subscription.
One seat for your daily AI workflow.
Shared seats and seat-aware access.
Monthly access. Taxes shown at checkout. Cancel renewal from your
account.
Checkout currently runs in sandbox; real purchases are
not open yet.
No. Cadrove prepares work around your chosen tool. Integration availability and outcomes depend on your setup.
No universal rate is promised. Local preparation can reduce repeated work; total usage depends on the task and model. Read the measured outcomes.
Download the package from your account and approve your device in the browser. The current package supports macOS and Linux with Python 3.10+. See installation steps.
For paid monthly access, you can continue until the end of your paid period. Cancellation and a refund are separate actions.
START WITH THE IDEA YOU HAVE.
Your tools. Your models. Your work.