Learning Timeline
Key Insights
Why Use Reasoning Models?
Reasoning models (like Claude 3.7 or GPT-o1) 'think' intensively in the background before responding. This results in more logical and strategic output compared to standard AI models that might only provide generic answers.
Model Selection Tips
While NotebookLM is excellent for document management, it may not be deep enough for complex marketing strategies. If you find NotebookLM’s output lacking, move that data to a dedicated reasoning model for more advanced results.
Prompts
Generating GTM Strategy & Marketing Angles
Target:
Claude 3.7 Sonnet / Grok
Based on the research data provided, please develop a Go-to-Market strategy. I want you to identify specific marketing angles for three target audiences: founders with ADHD, creative professionals, and general content creators. Focus on the concept of being a 'start button for your brain' and how the tool helps in turning complex tasks into microtasks.
Writing LinkedIn Content
Target:
Grok
Write a LinkedIn post about this concept (start button for your brain/microtasking) to gauge interest from my network. Make it engaging and encourage comments or feedback from founders and creators.
Step by Step
Analyzing Research Data with Reasoning Models
- Finish your initial research phase and gather all prototype data or documents in NotebookLM.
- Copy or export the key output documents from NotebookLM to use as a reference.
- Open an AI app that supports 'Reasoning' capabilities, such as Claude.ai or Grok.
- Make sure you select a specific model with deep thinking capabilities, for example, 'Claude 3.7 Sonnet'.
- Upload or paste your research documents into the reasoning model's chatbox.
- Enter a prompt asking the AI to draft a Go-to-Market (GTM) strategy or identify 'marketing angles' based on that data.
- If you need draft copy for social media (like LinkedIn), use Grok for a writing style that better suits the platform.
