🤖 Meet Your AI Team

Four LLM models for every business challenge

🧠

Gemini 3 Pro

"The Thinker"
✓ Strengths
  • Decisive, actionable research and strategic recommendations
  • Structured data analysis
  • Adequate visual design
⚠ Caution
  • Prone to misinterpreting context if not clear – tends to "jump to conclusions"
  • Final products can contain errors or awkward phrasing
→ Best For
  • Decision Support
  • Action Plan
  • Data analysis
  • Slides
✍️

Claude Sonnet 4.5

"The Communicator"
✓ Strengths
  • Clear, natural, concise writing
  • Good at synthesizing and organizing written information
⚠ Caution
  • Struggles with complex data analysis and imperfect data sets
  • Inconsistent strategic recommendations (internal contradictions)
→ Best For
  • Briefs
  • Executive summaries
  • SOPs
  • Social media
  • Reports from unstructured notes
  • Prompt refinement
🔍

ChatGPT 5.2

"The Explorer"
✓ Strengths
  • Comprehensive, wide-ranging exploration of options and considerations
  • Strong at identifying errors or gaps in analysis
⚠ Caution
  • Verbose/repetitive language and jargon
  • Sprawling information can obscure clarity
→ Best For
  • Brainstorming
  • Option mapping
  • Analysis verification
📚

Perplexity Pro

"The Retriever"
✓ Strengths
  • Best for collecting information from the web, consolidating and citing sources
  • Organizing information in a logical format
⚠ Caution
  • Appears authoritative but can misinterpret information and use unreliable sources
→ Best For
  • Sourced fact-checking
  • Real-time fact retrieval
  • Event planning
  • News summaries

🎯 The Bottom Line

While models have unique strengths and use-cases, in nearly every case each model did an adequate job. Detailed prompting, frequent iterations, and sufficient context are all more important than the particular model for most tasks.

Context: LLMs were tested across five business-critical tasks: prompt refinement, qualitative research, data analysis, visual design, and report writing.