How to Plan Around Weekly Pass Caps

Start by turning the weekly cap into a daily working limit

Begin with the number of passes available for the week and the number of days you expect to use them. Divide the weekly amount by those days to create a rough daily allowance. This is not a rule you must follow exactly, but it gives you an early warning when your usage starts moving too quickly. Keep part of the allowance unassigned for urgent debugging, deadlines, or a task that turns out to be larger than expected.

For example, if you have seven days and want to reserve two days of passes for the end of the week, plan to use only about five sevenths of the cap during the first five days. A simple reserve is often more useful than trying to spend every available pass evenly.

Separate routine work from high-cost work before you begin

Make a short list of the work you expect to do during the week. Put quick explanations, small edits, and straightforward transformations in one group. Put architecture decisions, difficult debugging, long document analysis, and multi-file changes in another. The first group can usually fit into a smaller request budget, while the second group needs more room for context and follow-up questions.

MyRelay gives one person one key and one budget across supported services, so this planning view helps you treat usage as one shared resource. It also prevents a low-cost experiment with one model from making an unrelated project unexpectedly run out of room.

Choose a model according to the task rather than habit

For routine work, select a model that can finish the job without unnecessary depth. Gemini 2.5 Flash can be a practical choice for quick drafting, summaries, and simple transformations when it fits the task. For a complex code review or a design decision where careful reasoning matters, Claude Sonnet 5.5 may justify a larger share of the weekly allowance.

The important step is to decide this before sending repeated requests. Switching models after several incomplete attempts can cost more than choosing a suitable model at the beginning. Keep the request focused, provide the relevant context, and ask for a concrete result so that each pass has a clear purpose.

Use the request history to find where passes are going

During the week, review MyRelay's request information instead of relying on memory. Members can see the tokens and cost for every request, which makes it possible to identify expensive habits. Look for repeated prompts, oversized context, long conversation histories, and attempts that ask for several unrelated tasks at once.

When a request costs more than expected, write down what caused it. The cause might be a large pasted document, an unclear prompt that required several retries, or a task that needed a stronger model. This small record gives you a better plan for the following week than a general instruction to use less.

Reduce waste before cutting useful work

When you are approaching the cap, first remove avoidable usage. Combine related questions into one well-scoped request, trim old conversation context, and provide only the files or passages needed for the current decision. Ask for a concise answer when you need a decision, and reserve extended explanations for cases where they will change your implementation.

You can also work in stages. Ask for a plan, review it yourself, and then request implementation details only after the direction is sound. This keeps an early mistake from producing a long and expensive answer that you will not use.

Finish the week with a deliberate reserve check

At the start of each day, compare your remaining passes with the work still outstanding. If the reserve is shrinking too quickly, postpone exploratory questions and focus on tasks with a clear outcome. If the week ends with passes unused, note which tasks were completed efficiently and carry that pattern forward.

Create a MyRelay account when you are ready to track your requests, costs, and weekly usage in one place. A weekly cap is easier to manage when it becomes a visible planning limit rather than a surprise at the end of a project.