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Roadmap

What we're building, what's next, and where TOMO is headed. Updated as priorities shift.

Building Now
In Progress
In Progress

Reflections

Freeform voice or text journal entries you can attach to any session or write standalone. A place to think about your training, not just log it. Closes the loop between recording what happened and processing what it means.

In Progress

Video Recommendations

TOMO analyzes your training data and recommends instructional videos based on what you're working on, where you're getting caught, and what your coach is teaching. Not a generic YouTube search. Targeted to your game.

Up Next
Planned
Planned

Experience Intake

A conversational onboarding for experienced practitioners. Instead of starting from zero, TOMO asks about your game, your go-to techniques, your training history, and your goals. Your journal starts with context, not a blank page.

Planned

Review Phase Redesign

The post-recording review screen currently shows 10+ fields at once. It's too much for someone who just finished rolling. The redesign focuses on a clean summary card with collapsible details. Log fast, review later.

Planned

Insights Intelligence

Deeper analysis in your weekly insights: mood tracking, pre-session intentions, plateau detection, and competition-specific routing. TOMO gets smarter about your training patterns over time.

Exploring
Research Phase
Exploring

Competition Tracker

Track tournament results, weight class, match outcomes, and competition-specific training cycles. Submissions data you're already logging feeds directly into comp prep insights.

Exploring

Persistent Injury Tracking

Injuries logged in individual sessions connected into a persistent timeline. Know which injuries are recurring, how long recovery takes, and how training volume affects healing.

Exploring

Coach Integration

Student rosters, feedback entry, and promotion pipeline for coaches. See how your students are progressing, what they're working on, and when they're ready for the next belt.

This roadmap reflects current thinking and may change based on tester feedback and priorities. Features move between lanes as we learn what matters most.