Our first iteration of product we built was a workflow engine similar to what you built. It is hard sell. You are competing with developers who can script this efficiently and faster than learning a new framework. In a scenario AI generates wrong script, it can lead to liability. Also market is fairly small for the workflows you specified in the example. Market is much larger when it comes to business process automation which is quite saturated right now.
What we shown in landing page is a much smaller subset what our vision is. We don't want to just generate code that looks good to developers on first try. We want to generate code that will pass all test cases in backend. Test cases here are not limited to unit tests, it could be FE browser based automated tests through Selenium, Mobile app emulator test cases. So, our AI has feedback loop on what click in Frontend, Mobile app generated any error and go back, regenerate code that fixes the error automatically.
AI script generation is not final in our case. Developers and Reviewers have final say and edit them. There's no issue with liability here. As the process is same but X times faster. Someone is reviewing in the end, before it's merged to codebase.
It is true that developers can script it efficiently. But the cost of hiring, vetting full-time developers or even freelancers is not negligible. We will integrate it with clients and freelancers after our AI and the workflow matures. So, for any client, the task which took 100 hrs and $5000 to develop by a full-time developer or freelancer working sequentially, will take 10-20 hours (leveraging the parallelism in the workflow), partly done by AI and rest done by freelancers all over world, with total cost say $500-$1000.
Whether we do it or someone else, I am definitely confident of a future where there will be no full-time developers. There will be only freelancers. Most of the work will be done by AI and rest will be done by freelancers all over the world, without client ever vetting or even seeing the freelancers. Like "Uber for Tech team", which scales up and down as per tasks.