Which AI for Which Task
Quick Answer: Each AI has genuine strengths. Grok for real-time, Perplexity for research, GPT for logic, Claude for nuance, Gemini for synthesis. When in doubt, let all 5 respond.
What You’ll Learn
- Each AI’s core strengths
- What tasks to route to which AI
- Common scenarios with recommended @mentions
- The “when in doubt” rule
The 5 AIs at a Glance
Detailed Strengths
Grok (@Grok)
Excels at:- What’s happening right now on social media
- Public sentiment about brands, products, or events
- Trending topics and emerging conversations
- Direct, no-nonsense answers
- Current events context
- “What are people saying about [Company] on X this week?”
- “What’s the current sentiment around remote work policies?”
- “Any trending discussions about AI regulation today?”
- “What’s the public reaction to [recent event]?”
Perplexity (@Perplexity)
Excels at:- Finding recent data and statistics
- Providing cited sources
- Academic and professional research
- Fact-checking claims from other AIs
- Market data and industry reports
- “Find recent studies on the effectiveness of 4-day work weeks with citations”
- “What’s the current market size for AI writing tools? Include sources.”
- “Fact-check: Is it true that remote workers are 13% more productive?”
- “Find the latest data on SaaS churn rates by industry”
GPT (@GPT)
Excels at:- Code generation and review
- Data modeling and system design
- Logical reasoning and structured analysis
- Mathematical and quantitative tasks
- Creating frameworks, taxonomies, and decision trees
- “Build a data model for a multi-tenant subscription system”
- “Create a decision framework for evaluating vendors”
- “Write a Python script that parses this API response”
- “Structure this problem as a decision tree with probabilities”
Claude (@Claude)
Excels at:- Nuanced analysis that considers multiple perspectives
- Clear, well-structured writing
- Identifying ethical implications and edge cases
- Summarizing complex arguments fairly
- Catching things others miss - the “but what about…” factor
- “Review this proposal and identify potential blind spots”
- “What are the ethical implications of this approach?”
- “Rewrite this paragraph to be more persuasive without being manipulative”
- “What’s the strongest counterargument to our strategy?”
Gemini (@Gemini)
Excels at:- Processing and synthesizing large amounts of information
- Connecting themes across a long conversation
- Comprehensive overviews and summaries
- Working with uploaded documents (large context window)
- Seeing patterns across multiple data points
- “Summarize the key themes from this 80-page document”
- “How do all the points from our discussion connect to each other?”
- “What patterns do you see across these five competitor analyses?”
- “Give me a comprehensive overview of everything we’ve discussed”
Common Scenarios
The “When in Doubt” Rule
Not sure which AI to pick? Don’t pick. Let all 5 respond. After a full-team round, you’ll see which AI gave the most relevant response. @mention that one for your follow-up. Over time, you’ll develop intuition for which AI to call on first.Combining Strengths
The most powerful approach: assign complementary tasks to different AIs.Tips
- These strengths are tendencies, not hard rules. Every AI can do most tasks.
- The value of multi-AI isn’t picking the “right” one - it’s getting perspectives you wouldn’t have thought to ask for.
- When an AI surprises you (Claude writes great code, GPT catches a nuance), lean into it.
- Your personal experience will refine this guide. Everyone develops their own preferences.
Related Articles
- @Mentions: Control Who Responds
- Getting One AI to Respond
- Assigning Different Tasks to Different AIs
- How 5 AIs Work Together

