ai-docs/docs/ai/usage-tokens.md
2026-02-10 13:55:42 -06:00

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# Usage and Token Budgeting
## How Tokens Are Spent
Tokens are consumed based on input length, output length, and tool usage. Long prompts and repeated context increase usage quickly.
## Best Practices to Reduce Usage
- Use clear, bounded requests with specific goals.
- Prefer targeted edits over full rewrites.
- Reuse context by referencing earlier outputs instead of re-pasting.
- Ask for summaries before requesting changes.
## Examples of Efficient Prompts
- "Summarize this file in 5 bullets. Then propose a refactor plan."
- "Update only the functions in this file that handle validation."
- "List risks in this change and suggest tests to add."
## Daily and Monthly Budgeting Tips
- Batch related questions in a single prompt.
- Timebox explorations and stop when enough info is gathered.
- Avoid repeated retries without changing the prompt.
## Budgeting Routine
- Start with a plan-first request for large tasks.
- Limit each request to one output type.
- End sessions with a short summary for easy follow-up.
## Red Flags That Burn Tokens Quickly
- Large file pastes with no clear ask.
- Multiple full rewrites in one session.
- Repeated "start over" requests.
## Team Habits That Help
- Capture reusable prompts in a shared doc.
- Standardize request templates.
- Agree on when to use agents vs chat.
## Quick Checklist
- Is the request specific and scoped?
- Do I need the whole file or just a section?
- Can I ask for a plan first?