Reduce unnecessary input, output, and rework. Judge changes by useful completed work and total cost, not token counts alone.
Important
Community guidance, not official GitHub or Microsoft policy. Verify product behavior, pricing, and organization controls in the official Copilot docs.
Practical Setup is the implementation checklist. Why Tokens Matter explains the cost model.
Start with concise plain language, relevant context, and an appropriate mode/model. Add tools or stronger style rules only when they address waste you can identify.
| What needs attention | Canonical chapter |
|---|---|
| Long answers or optional Caveman style | Output Control |
| Unclear or wordy requests | Prompt Compression |
| Language/tokenizer tradeoffs | Language Comparison |
| Loaded files, scoped instructions, Markdown conversion, cache/handoffs | Context Management |
| Whether always-on guidance earns its place | Always-On Context Problem |
| MCP overhead, RTK/snip, and Graphify setup | MCP & Tool Costs |
| Ask/Edit/Agent choices and workflow-specific habits | Workflow Optimization |
| Plans, verification, and avoiding rework | Outcome per Token |
| Model routing, effort, availability, and pricing | Model Selection & Pricing |
| Budgets, access policy, and enterprise controls | Enterprise Governance |
| How to compare claims and measurements | Comparisons & Data |
Start with ordinary concise instructions. The evidence review separates output-length changes from whole-task cost and explains why older headline claims do not establish savings on your workload.
Use the default/concise/Caveman protocol to test added value beyond Answer concisely. This guide has not run its own paid three-arm benchmark.
Savings depend on workload, model, host, and billing. Do not add percentages from different mechanisms or treat an output-only result as a bill reduction.