Problem Statement → Multi-AI Brainstorm → Solution Validation
Generate and validate multiple solution approaches to research problems using different AI models and expert feedback.
Workflow Steps
ChatGPT
Generate initial solution approaches
Input the research problem and prompt for 5-7 different solution approaches, asking for creative and unconventional methods. Request specific implementation steps and resource requirements for each
Claude
Critique and refine solutions
Feed the ChatGPT solutions to Claude with a prompt to: identify potential flaws, suggest improvements, rank solutions by feasibility, and propose hybrid approaches combining the best elements
Perplexity AI
Research existing attempts
For each refined solution, research whether similar approaches have been tried before, what the outcomes were, and what current tools or datasets are available to support implementation
Airtable
Create solution evaluation matrix
Build a base with fields for solution description, feasibility score, resource requirements, timeline, potential impact, and research status. Include views filtered by different criteria
Calendly
Schedule expert validation calls
Set up booking links for subject matter experts to review and discuss the most promising solutions. Include the Airtable view link in the meeting description for preparation
Workflow Flow
Step 1
ChatGPT
Generate initial solution approaches
Step 2
Claude
Critique and refine solutions
Step 3
Perplexity AI
Research existing attempts
Step 4
Airtable
Create solution evaluation matrix
Step 5
Calendly
Schedule expert validation calls
Why This Works
Uses multiple AI perspectives to avoid single-model bias, while incorporating human expert validation to ensure practical viability before significant resource investment
Best For
Innovation teams and research labs developing comprehensive approaches to tackle unsolved technical problems
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