---
title: AI Tool Selection & Strengths
type: article
created: '2026-04-05'
updated: '2026-04-05'
source_docs:
- raw/2025-11-13-using-ai-part-2-101377310.md
tags:
- ai
- tools
- claude
- chatgpt
- perplexity
- prompting
- workflow
layer: 2
client_source: null
industry_context: null
transferable: true
---

# AI Tool Selection & Strengths

Different AI tools have meaningfully different strengths. Using the wrong tool for a task produces worse results — not just marginally worse, but categorically wrong outputs. Matching the tool to the job is a foundational habit for effective AI use.

## The Core Principle

AI is not one thing. "Using AI" is not a single skill — it's a family of skills tied to specific tools built for specific purposes. Treating all LLMs as interchangeable leads to frustration and mediocre outputs.

> "If you're looking for answers, talk to Perplexity. If you're looking for creativity, Perplexity is nothing."
> — Mark Hope, AI Training Session (Part 2)

## Tool Comparison

### Perplexity — Factual Research & Sourced Answers

**Best for:** Questions with knowable, verifiable answers. Anything where accuracy and sourcing matter.

**How it works:** Perplexity restricts itself to recognized sources and always provides citations. It is highly unlikely to hallucinate or fabricate information.

**Use when:**
- You need a factual answer (e.g., "How did Franz Liszt die?")
- You need to cite a source
- You're doing background research on a client, industry, or topic
- You want to verify a claim

**Avoid when:** You need creative output, brainstorming, or generative ideation — Perplexity is not built for this.

---

### Claude — Creative & Unconventional Thinking

**Best for:** Ideation, brainstorming, creative copy, strategy generation, and [[knowledge/ai-tools/verbalized-sampling|verbalized sampling]] prompts.

**Characteristics:** Claude is more willing to explore unconventional, edgy, or low-probability outputs. It responds well to complex, structured prompts and tends to produce more varied creative results than ChatGPT.

**Use when:**
- Generating brand slogans, ad copy, or positioning concepts
- Running verbalized sampling prompts for tail-distribution ideas
- Exploring market scenarios or strategic possibilities
- You want genuinely surprising or unconventional outputs

**Note:** Mark Hope uses Claude as his primary tool for creative and strategic work, averaging 4–6 hours/day across AI tools.

---

### ChatGPT — General Purpose, Conservative Outputs

**Best for:** General-purpose tasks where a reasonable, mainstream answer is acceptable.

**Characteristics:** ChatGPT tends toward more conservative, high-probability outputs. It is less likely to produce edgy or unconventional ideas even when prompted. For factual queries, it may hallucinate without flagging uncertainty.

**Use when:**
- You need a capable general-purpose assistant
- The task doesn't require deep creativity or verified sourcing
- You're already embedded in the OpenAI ecosystem

**Avoid when:** You need sourced facts (use Perplexity) or genuinely unconventional creative output (use Claude).

---

## Quick Reference

| Need | Tool |
|---|---|
| Verified facts with sources | Perplexity |
| Creative ideation, brainstorming | Claude |
| Tail-distribution / verbalized sampling | Claude |
| General-purpose assistance | ChatGPT |
| Conservative, mainstream outputs | ChatGPT |
| Client research, industry background | Perplexity |

## Related Concepts

- [[knowledge/ai-tools/verbalized-sampling]] — Prompting technique for generating low-probability, unconventional outputs; works best in Claude
- [[knowledge/ai-tools/ai-for-idea-generation]] — Framing AI as a starting point for human creativity, not a final deliverable

## Source

Documented from the Asymmetric internal AI training session "Using AI Part 2: Verbalized Sampling," led by Mark Hope. See also the verbalized sampling prompt document distributed to the team following that session.