Projects
The Workbench
Practical tools, experiments, and applications built from real workflow problems.
The projects on HitIt.ai are where the thinking becomes tangible. Some are small tools. Some are prototypes. Some are larger systems in development. All of them begin with the same question: what would make real knowledge work clearer, faster, or more reliable without removing the human judgment that still matters?
How I Think About Projects
I do not start with “What can AI do?” I start with the work itself: the documents, emails, spreadsheets, decisions, reviews, handoffs, and repeated tasks that shape ordinary professional life. Then I look for the smallest useful system that can make that work easier to understand or easier to repeat.
Start with a real workflow
Begin with the documents, emails, and repeated tasks that shape ordinary professional work.
Build the smallest useful system
Look for the least complex tool that makes that work clearer or easier to repeat.
Keep the human in the loop
Support judgment instead of replacing it. The person stays in control of the work.
Currently Available
TuduBooks.ai
Bookkeeping made simple
A bookkeeping app for gig workers and solo entrepreneurs. Currently onboarding beta testers.
- Income & expense tracking
- Gig worker friendly
- Simple reporting
- Beta access available
Floudea.ai
Voice notes, amplified by AI
A note-taking app with voice recording and AI. Capture ideas on the go and let AI help organize them.
- Voice recording
- AI-powered transcription
- Smart note organization
- Beta access available
In Development
TuduFast.ai
Inbox zero meets task zero
Mailbox manager meets project manager with AI assistant. Tame your inbox and tasks in one place.
- ○Unified inbox management
- ○AI-powered task extraction
- ○Project organization
- ○Smart prioritization
No Account Required
Simple tools I've built to solve real problems. Free to use, no strings attached.
From Projects to Practice
The projects are not separate from the writing or future courses. They are how I test ideas, discover what breaks, and turn practical lessons into clearer guidance for knowledge workers who want to build useful AI-assisted workflows.
For teams, these projects also point toward a larger question: how can groups adopt AI in small, practical, governed ways that improve real workflows instead of creating more confusion?
Work With Me →Want Updates on New Projects?
I share behind-the-scenes progress, early access, and the lessons I learn building these tools.