I'm Naeem. I work across growth, product and AI systems, mostly for clients. The same thing kept happening: a prompt, some context and a way of working would produce something genuinely good, and three weeks later none of it could be found or repeated.
MyPromptVerse is the workspace I wanted. You build the method once, as operators, playbooks, prompts and knowledge, and every job after that starts from it. Each run stays inspectable, so you can see why an answer came out the way it did.
It is in closed testing while the core loop gets solid. I'm building it in the open: the Library shows what we use, and the build log says what broke and what changed.
01 What it is
It is
It is not
02 How it is built
Each one links to the page that shows it in practice.
Say what was actually checked.
A reply is checked against its playbook, or marked Not checked. Gaps show as warnings, never as a green badge nobody earned.
Every run said 'Passed'Show the build, including what broke.
The build log is dated and specific: what we tried, what broke, what we changed, and what is still not done.
The build logKeep the method open.
The operators, playbooks, prompts and knowledge we use are in the Library, free to use under CC BY 4.0.
The LibraryDesign review in, not out.
Human review is a stage of the workflow, with its own evidence and decisions, not a sign that the AI failed.
Human review is not a failure mode03 The build so far
The studio
MyPromptVerse is made by Encanta Digital, which builds AI workflows and operating layers for teams that need them done properly.