Bumped TRT 150 to 200 mg/wk
Logged on 2026-04-12 with expected changes attached to bloodwork and lean-mass markers.
Private beta
AI-guided fitness progress, anchored to real evidence.
OWLiFT brings scans, bloodwork, journal context, goals, and Hoot's AI verdicts into one private system for understanding what changed and what to do next.
verdict: stable
OWLiFT brand mark
Hoot watching metrics
single-user beta
Built from a real journey
A calmer way to read your body.
OWLiFT started as a personal system for using AI inside a fitness journey. Not to replace judgment, coaching, or medical care, but to keep context close to the data and make progress easier to understand over time.
Latest check-in
Hoot summary
Body fat
-1.4%
Lean mass
steady
Verdict
partial
02 / What's different
Hoot closes the loop.
Other apps log your data. OWLiFT evaluates it. Make a change, tag it as an experiment, and when the next scan or bloodwork lands inside the watch window, Hoot computes the actual delta against what you expected and remembers the verdict forever.
Total T, E2, lean mass
Hoot watches the metrics through the next scan and bloodwork window. Verdict due 2026-06-07.
target met
Total T 612 to 894 ng/dL
E2 drifted to 42 pg/mL. Watch symptoms and avoid changing multiple variables at once.
03 / The system
Everything important stays in context.
Scans are useful. Bloodwork is useful. Notes are useful. OWLiFT makes them more useful by keeping them together, then letting Hoot reason across the history.
Scan history
Track DEXA, InBody, Evolt, tape, and manual body-composition entries without flattening every method into one vague weight trend.
Bloodwork context
Keep markers close to training blocks, protocol changes, and journal entries so future decisions are anchored to actual numbers.
Hoot journal
Write the note once. Hoot can recall the change later, evaluate the outcome, and bring that context into future chats.
Ask Hoot
Ask plain-language questions about progress, patterns, and next steps. The voice is precise, calm, and grounded in what has been logged.
Roadmap / subject to change
After v1, the loop gets deeper.
The beta starts focused. Future work should earn its way in by making the closed-loop system more accurate, more private, or easier to use.
PED and peptide protocol library
Structured protocol metadata that makes experiment tracking less manual.
Multi-user with RLS
Secure account separation for broader beta access beyond a single-user prototype.
Offline mode
Capture notes and scan context when the network is not available.
Form check surfaces
Video-flagged form notes that can be reviewed beside training and body-composition trends.
Private beta
Help shape OWLiFT before the first release.
The app is nearly ready. The first beta is for people who care about their fitness journey, want better context around their data, and believe AI can make progress easier to understand.