Give Me 10 Minutes and I'll Make Your Claude 100X Better

Summary

The video argues that Claude prompting should be simpler than the elaborate role-and-rule templates popularized for earlier models. It recommends treating Claude like a capable colleague: state the task plainly, provide relevant context and examples, and let Claude ask specific questions when information is missing.

Prompting and quality checks

• Ask directly for the result you need, then provide useful background and examples of the desired style.
• Invite clarifying questions rather than having Claude guess at missing details.
• Replace vague requests such as “check your work” with clear, testable criteria. For example, check whether each post contains a transcript quote, every number appears in the source, and each post is under 150 words.
• Ask Claude to report whether each criterion passed or failed before presenting its result. The video also suggests asking a separate session to critique the output.

Choosing an effort level

The presenter says effort level is about how much oversight or autonomy a task needs, not simply how “smart” the model should be:

• Low: Quick brainstorming or drafts that the user will review.
• Medium: Routine work with a clear expected result.
• High: Tasks requiring careful verification or exception handling.
• Extra-high: Lengthy, more complex work, such as comparing records across many months.
• Max: Complex tasks Claude is expected to handle largely independently.

The presenter cautions that higher effort can cost more and may lead Claude to make more assumptions, so it should not be the default for every task.

Instructions and saved context

The video recommends simplifying CLAUDE.md rather than filling it with emphatic “ALWAYS” and “NEVER” rules. It attributes to Anthropic the finding that substantially reducing its own instructions produced no measurable loss on coding evaluations. The video also claims Claude’s automatic memory can learn from repeated interactions, reducing reliance on an extensive initial instruction file.

Credit-saving tools demonstrated

The presenter describes three small Claude add-ons, which the video calls “mods”:

1. Effort Picker: Recommends a model and effort level for the task.
2. Context-window indicator: Shows how full a chat’s context is. The presenter recommends handing work to a new chat at roughly 80–85% capacity.
3. Inactive-chat alert: Notifies the user when a chat has been idle long enough that continuing may require Claude to reload its context.

These are presented as ways to use a subscription more efficiently; the video does not independently verify the claimed savings.

Main speakers and sources

• Christian Peverelli, the video’s presenter.
• The presenter cites Boris Cherny on simpler prompts, Andrej Karpathy on prompts becoming shorter, and Anthropic guidance and team members on effort levels, instruction-file simplification, and quality checks.