Blog
Guides, perspectives, and honest writing about building client projects with AI - and the tools and workflows that make it work.
We spent three months building a meeting notes tool before we realized the problem was not the notes. It was everything that happens after the notes - and nobody had solved that.
The quality of Audora's output depends on the quality of the call. Here is how to structure your client conversations so the AI has what it needs to generate something you can actually build from.
A practical walkthrough of how AI builders are using Audora to eliminate the gap between client call and first commit.
It is almost never the code that causes project failures. It is what happened between the first call and the first line of code.
When you have a spec ready before you open the tool, the decision about which tool to use becomes a lot simpler. Here is how we think about it.
The statement of work is the document that protects you when things get complicated. Most solo builders treat it as a formality. That is a mistake.
The patterns in how clients actually talk about what they want - and how that shaped how Audora generates requirements documents.
Every scope creep story starts the same way - something was said on a call and not written down. Here is why that keeps happening and what actually fixes it.
A step-by-step configuration guide for Studio and Agency plan users managing several ongoing client relationships simultaneously.
Building Audora means sitting with a tension: transparency about what we are doing versus the sensitivity of what our users are recording. Here is how we think about it.
What actually takes how long when you are building client projects with AI tools, and where the time goes when things slip.
Everything on this blog exists because of the problem Audora solves. Try it and see the difference a proper spec makes before you open a single build tool.