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20 changes: 19 additions & 1 deletion 04-agents-custom-instructions/README.md
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Expand Up @@ -109,7 +109,25 @@ What about the Task Agent? It works behind the scenes to manage and track what i

> 💡 **Multi-turn subagents**: Subagents (background tasks launched by agents) support follow-up messages. While an agent is running in the background, you can open `/tasks` to view it and send follow-up instructions. You don't have to wait for it to finish before guiding it further. Think of it like being able to tap your assistant on the shoulder mid-task to give extra direction.

> 📚 **Official Documentation**: [GitHub Copilot CLI Agents](https://docs.github.com/copilot/how-tos/use-copilot-agents/use-copilot-cli#use-custom-agents)
### Choosing a Model for Plan Mode

By default, `/plan` uses the same AI model you've selected for your session. You can pick a *different* model to use only while in plan mode — great for using a faster or less expensive model for planning, then switching back to a more powerful one for implementation:

```bash
copilot

# Open the model picker for plan mode only
> /model plan

# Or specify a model ID directly (use 'off' to clear the plan-mode model)
> /model plan gpt-5.6-sol

# Leave plan mode and the model reverts to your session model automatically
```

> 💡 **Why set a plan-mode model?** A high-quality plan created by a frontier model upfront can actually save tokens and time overall. A precise, well-scoped plan means fewer back-and-forth corrections during implementation.

> 📚 **Official Documentation**: [GitHub Copilot CLI Agents](https://docs.github.com/copilot/how-tos/copilot-cli/use-copilot-cli/invoke-custom-agents)

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