I remove repetitive work
I look for processes that regularly demand attention, describe inputs and exceptions, then build a managed AI system around them.
Author and Verifier of the Library
Konstantin Penioza
I build practical AI systems for business processes and break them down into recipes that another person can understand, adapt, and verify.
I leave the decision boundary to humans
Automation should not silently manage money, clients, or publications. The recipe always shows where control is needed and how to perform a dry run.
So that work can be repeated
Our collected recipes are separated from external text analyses. For each material, the general scheme, scope, and verification method are open.
Proof by work
The best story about me is working systems.
Start with the task, not the biography: choose a similar process, look at the scheme, and decide what you can safely build for yourself.
Go to Library →
Boundary of trust: there are no fabricated ROIs, client testimonials, or promises to "insert one prompt and everything will work." The open part helps understand the mechanics; implementation requires context, testing, and human control.