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In this episode, Paul and Sean welcome Peter Lowe, an expert in AI and prompt engineering.
They discuss Peter's background, his journey into AI, and the importance of effective prompt engineering in utilizing AI tools like Mind Studio.
The conversation covers the creation of custom GPTs, building knowledge bases, and the future of AI in business, emphasizing the need for strategic thinking and investment in the initial setup to achieve optimal results.
Takeaways
- Peter Lowe has been working with AI for over two years.
- Effective prompt engineering is crucial for better AI results.
- Vague prompts lead to vague results; clarity is key.
- Building custom GPTs can streamline processes in organizations.
- Investing time upfront in AI setup pays off in the long run.
- Mind Studio is a no-code tool for creating AI workflows.
- Knowledge bases enhance the effectiveness of AI tools.
- AI can replace repetitive tasks, allowing for strategic focus.
- The future of AI involves integrating various tools for efficiency.
- Understanding the cost and capabilities of AI models is essential.
Paul and Sean can be found here:
Paul Rhodes - paul@ggapps.co.uk 01527306370
Sean Sale - sean@justapplications.co.uk 0121 2851047
Peter Lowe can be found here:
https://www.linkedin.com/in/peteralunlowe/
Resources:
MindStudio (Main platform): https://www.mindstudio.com/ MindStudio Chrome Extension: https://chromewebstore.google.com/detail/mindstudio/njommheeefdkhenodpfoflmeoampaggk 🤖 AI Frameworks / Prompts Prompt Framework: CRAFT Context, Role, Audience, Format, Task (Peter also adds Tone sometimes) Prompt Engineering GPT (no public link, but worth noting): "GPT that asks you qualifying questions before generating your final prompt." 📚 Other Mentions Make.com and Zapier.com: For comparison with MindStudio
