ChatGPT can effectively incorporate desired features and provide debugging guidance, although customization, particularly design, can be challenging.
Using ChatGPT for prototyping highlighted the importance of prompt engineering and diminished the need for deep programming knowledge, revealing AI's potential and limitations in creativity.
When working on GitHub collaboratively, challenges might arise; here, ChatGPT can offer solutions, but a more sectionwise coding approach might be favorable over recopying code.
The LLM PMF tool assisted in validating existing ideas, particularly with customer personas and branding, though it offered limited flexibility compared to manual customization.
Certain features of the LLM PMF tool, such as name generation and hypothesis testing, were found beneficial, but the tool may not accurately reflect reallife customer segments, requiring caution in reliance for productmarket fit.
