I’ve just created a tool that lets you generate blog and social media posts for free, but I’m looking to enhance it further. I’d really appreciate any feedback or suggestions you might have for improvements!

Hello everyone! I’ve developed a new tool for generating different types of content, such as blog posts, LinkedIn updates, and X/Twitter threads. It’s designed to help with content ideas and provide a starting draft for editing. I’d really appreciate your feedback on how useful you find it and any suggestions you have for making it better.

You might be making a mistake by trying to incorporate multiple generators. Why not concentrate on just one, like blog posts? Research your competition—there’s an app called Tryjournalist that focuses solely on this and is experiencing significant growth. There’s definitely a market, but it needs to be sharply focused. Entrepreneurs often waste time and energy on random tasks just to see what happens. Instead, focus on logical tasks to measure your results. I recommend checking out Plani.ai, a free smart planning tool that creates tasks based on your goals. It’s similar to Asana or Trello but designed specifically for managing SaaS projects.

I tested a few Twitter prompts, and while I might be biased because I know they’re AI-generated, it seemed like someone paying close attention could tell. Have you tested some samples with a real audience and gathered their feedback?

Your tool seems very promising, especially for creators looking to get a boost with content ideas and drafts. I recently used a similar feature on ChatFAI to generate character backstories for a creative project, and I found the tool’s flexibility to be incredibly useful. It allowed me to adjust the content until it fit the tone and style I wanted, going beyond just generating content to refining it through AI-assisted revisions.

One area where your tool could improve is by offering more specific customization for different platforms. For example, a blog post might require a formal tone, while an X/Twitter thread might benefit from a more conversational approach. Allowing users to adjust tone, length, and style according to each platform could make the tool even more versatile.

Additionally, incorporating a feedback loop where the AI learns from user edits could be valuable. This would enable the tool to improve its suggestions over time based on user preferences, making it feel like it’s evolving with their content needs.