PretectalFor teams
Make the work easier.
Keep the know-how.
I help teams turn recurring friction into useful products with AI. We start with one task, build a focused version, and learn from the people who use it. Your team learns the process alongside the product.
From case study to your first build
Find a useful problem. Build a smaller first version.
The projects show the product decisions: who a tool serves, what it helps them do, and how to tell whether it is useful. The building guides help you apply those decisions with AI, from a clear brief to a prototype you can put in front of someone.
Start with the task everyone works around.
Repeated handoffs, hard-to-find information, a new hire's first steps, or a resource people need to use every day. The opportunity often sits inside work your team already knows well.
Bring one example of the current process. We can discuss whether an existing tool, a simple automation, or a custom prototype fits. We agree on the scope, responsibilities, and what to test before beginning a project.
- Find one useful changeUnderstand the task with the people who perform it.
- Build and try a small versionUse AI to develop the tool and observe how people use it.
- Teach the team and hand it overKeep the source, decisions, practical instructions, and next steps.
Learn it. Build it. Make it usable.
Learn to build with AI
Work through a real task together. Learn to write a useful brief, choose a tool, guide an AI coding assistant, and check the result. Capture repeatable instructions and examples your team can reuse.
Build a focused prototype
Turn one recurring problem into one complete product path. Start with sample data, explicit expectations, and a version someone can try. Use that experience to decide what deserves further work.
Prepare for team use
Define a small trial, confirm data and access needs, test failure paths, and collect feedback. Document the result so the person taking ownership can use, support, and improve it.
The team should understand what it owns.
- A clear problem statement, scope, and record of product decisions.
- Editable source files and instructions for running the delivered version.
- Test results, user observations, and open issues with named owners.
- A record of data access, dependencies, and how to recover if something fails.
- Reusable AI instructions, examples, and checks for the next iteration.
The exact handoff depends on the project. We define maintenance and ownership early, and describe results from what the trial actually shows. Useful products still need someone to look after them.
Tell me about one recurring problem.
Who does the task? What do they do today? Where does the process get slow, repetitive, or difficult to hand over? A short description and the result you want are enough to start a conversation.
Opens your email app. Contact: eugene@pretectal.com