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Control Feature

@Mentions: You Decide Who Responds

Type @Claude, @GPT, @Gemini, @Perplexity, or @Grok to route your message. Target one AI for focus. Target several for subset orchestration. Skip the @ and all five respond.

Full orchestration is powerful, but sometimes you know exactly which AI you need. @mentions put you in control without leaving the shared context.

Five responses when you only need one

Full orchestration is the right call for complex questions. But not every question needs five perspectives. Sometimes you want Perplexity’s citations without waiting for four other models. Sometimes you want Claude’s nuance on a specific point.

Without targeted control, you’re stuck with all-or-nothing: either get responses from everyone, or leave the shared context entirely and start a new conversation in a single-model tool.

@mentions solve this. Target exactly the AI(s) you want while staying in the same conversation with full context.

Simple syntax. Powerful control.

Type @ followed by an AI name anywhere in your message. Only mentioned AIs respond.

@Claude

Alias: @Anthropic

Analysis, writing, nuance, edge cases, ethical thinking

@GPT

Alias: @OpenAI

Logic, code, structure, technical precision, frameworks

@Gemini

Alias: @Google

Large docs, big picture, comprehensive synthesis, 1M+ context

@Perplexity

Alias: @Sonar

Research, citations, fact-checking, current data, sources

@Grok

Alias: @xAI

Real-time trends, social sentiment, X/Twitter, current events

Common @mention workflows

Single AI Focus

@Claude, review this proposal and identify blind spots.

Only Claude responds. Get its nuanced analysis without waiting for others.

@Perplexity, find recent data on SaaS churn rates with sources.

Only Perplexity responds. Get citations fast.

Subset Orchestration

@Claude @GPT – analyze this architecture decision technically.

Two-model response for technical depth without the full sequence.

@Perplexity @Grok – what’s happening in AI regulation right now?

Research + real-time combo for current events questions.

Task Assignment

@Grok – check Twitter sentiment on this company
@Perplexity – find their latest funding and valuation data
@Claude – synthesize both into a recommendation

Assign different tasks to different AIs in a single message. Each handles their specialty, all in one response.

No @mention

What are the pros and cons of remote-first vs. hybrid work policies?

All five AIs respond in sequence. Best for complex questions where you want maximum perspective coverage.

Which AI for which task

TaskRecommendedWhy
Find data with citations@PerplexityResearch with sources
Current social sentiment@GrokReal-time X/Twitter access
Code review or generation@GPTTechnical precision
Nuanced analysis or writing@ClaudeDepth and clarity
Summarize long document@Gemini1M+ token context window
Build a framework or decision tree@GPTLogical structure
Find blind spots or counterarguments@ClaudeEdge case thinking
Complex question, unsure who to askNo @mentionLet all five respond

Things to know

Case doesn’t matter

@claude, @Claude, and @CLAUDE all work identically. Same for all AI names.

Position is flexible

Put the @mention anywhere in your message. Beginning, middle, or end – it all works the same.

Silent AIs still see everything

When you @mention Claude, the other four don’t respond – but they still see the conversation. You can @mention them later and they’ll have full context.

Speed advantage

One AI responds faster than five. When you know which model you need, @mentions get you answers sooner.

Targeted Mode: The Conductor’s Baton

@mentions work in any mode. But if you’re consistently directing specific questions to specific AIs, consider Targeted mode – where you’re always in control of who responds, and the default is for no AI to respond until you assign them.

Think of it as the difference between a boardroom discussion (everyone contributes) and a conductor leading an orchestra (you direct each section).

Full orchestration by default. Precise control when you need it.

@mentions give you the best of both worlds – multi-AI power with single-AI focus.