Anyone have a tried and true method to write AI app prompts that are effective. I am interested in Micro SAAS apps.

I would love to share with you how I leverage ChatGPT, Claude to rebuild several AI apps (like JasperAI, Perplexity AI, Eightify,…) , just by playing around with multi-agent workflows. It’s pretty simple in 3 steps (though it did cause me hours of trial and error, trying to perfect my tools ) (1) Generate a tool with AI (2) Customize the tool and train the AI with my materials, frameworks (3) Do different advanced set-up (Use different LLM models, Add tools, Add style, add training examples). Below is a tool I rebuilt and improved upon JasperAI’s tool I built for my clients. Putting my video here, for anyone of you who is curious how I rebuilt this app in detail. What do you think about the idea of rebuilding AI app? Feel free to let me know if you want further resources to learn more about this.

Google's GEMs vs. OpenAI's Custom GPTs: A Comparative Analysis In the ever-evolving landscape of AI tools, both Google and OpenAI have taken significant strides in offering customizable AI solutions tailored to individual or business needs. Google's recent introduction of GEMs, their version of custom GPTs, marks an exciting development in this space. However, when compared to OpenAI's custom GPTs, some notable differences in functionality and user experience emerge. Custom Documents: A Missing Feature in GEMs One of the most significant differences between Google GEMs and OpenAI's custom GPTs is the ability to add custom documents. OpenAI allows users to upload and integrate custom documents directly into their GPTs, enabling the AI to provide responses that are contextually relevant to specific industries or unique use cases. This feature is invaluable for businesses that rely on specialized knowledge or need to ensure that their AI responses align closely with their internal documentation. Unfortunately, GEMs do not yet offer this capability, limiting the depth of customization and context-specific accuracy. Personalization with Logos and Icons Brand identity plays a crucial role in creating a professional and cohesive user experience. OpenAI recognizes this and allows users to add custom logos or icons to their GPTs, reinforcing brand alignment and making the tool feel uniquely theirs. This feature is notably absent in Google's GEMs, which could be a drawback for businesses looking to integrate the AI into their existing brand ecosystem seamlessly. Guided Interactions with Starter Prompts Another area where OpenAI's custom GPTs shine is the ability to include starter prompts. These prompts guide the AI's interactions from the outset, ensuring that users receive relevant and on-topic responses immediately. This feature is especially useful in environments where clarity and direction are paramount. Unfortunately, GEMs do not offer this functionality, potentially leading to a less streamlined and efficient user experience.

I'm interested to know what everyone is using to create AI generated written content at the moment? Also, what are you using it for? Blog posts? Social Media Posts? Emails?