Most productivity tools today are either:
Rule-based (static priorities, deadlines, heuristics), or
“AI-powered” in name only, applying ML everywhere whether it makes sense or not.
I wanted to explore a third path.
So I built PriorityPilot — a CLI-first task & project manager that learns from your behavior, but only when the data actually justifies it.
The Core Idea
Machine Learning is powerful — but only after:
- enough data exists
- the signal is stronger than a simple baseline
- the model proves it’s better than heuristics
PriorityPilot starts fully rule-based, and progressively enables ML only when it earns the right to do so.
No magic. No hype. Just measured decisions.
What PriorityPilot Does
Manage projects and tasks from the terminal
Track:
- priorities
- deadlines
- estimated vs actual hours
Learn from: - your task completion patterns
- real time spent
- ordering decisions you implicitly make
Then it uses ML to: - predict task priority
- estimate required effort
- rank tasks pairwise (what should come before what)
All while staying transparent about confidence and limitations.
Why a CLI?
Because:
speed matters
context switching kills focus
developers already live in the terminal
PriorityPilot supports:
Basic mode → minimal friction
Advanced mode → ML insights, confidence intervals, drift warnings
Same tool, different levels of depth.
The ML Philosophy (This Is the Important Part)
PriorityPilot is ML-first in design, but ML-last in execution.
Cold Start Is Explicit
Below ~10 samples → no ML
Pure heuristics and neutral predictions
Baseline Always Wins by Default
Ridge regression baseline
ML models must outperform it
If they don’t → they’re ignored
Drift Detection
If your behavior changes, the system notices
Models are downgraded automatically
Confidence > Predictions
Estimates include confidence intervals
Warnings appear when predictions are unreliable
This is not “AI guessing”. It’s ML behaving responsibly.
Models Used (Nothing Exotic)
Gradient Boosting → priority prediction
Random Forest → effort estimation
Logistic Regression → pairwise ranking
Ridge → baseline sanity check
Simple models. Interpretable. Good enough.
If You’re Curious
⭐ Star the repo if you like the idea
🧪 Try it and break it
💬 Feedback (especially critical) is welcome
👉 https://github.com/Usero0/PriorityPilot
Thanks for reading — and remember:
ML should earn its place, not assume it.