VECTRA
The workout app that keeps the whole plan in view.
Train inside a system that starts with your goal, builds your next two weeks, guides the session, and decides what should change next.
Vectra Fitness is designed as a focused AI coaching product, not a content feed. The current build already centers the app around onboarding, block generation, workouts, feedback, and end-of-block evaluation.
Home // The void
What do I do now?
Block 01
Foundation phase
Today
Lower Body Build
Coach
Feeling tired?
Quick adjustments stay inside the workout instead of breaking the session flow.
Evaluation
Next phase is earned
The next block responds to how the phase actually landed, not just to the passage of time.
Timeline snapshot
Why it lands differently
Built to feel like a coach, not a content feed.
The product direction is simple: reduce clutter, keep the user anchored in the current phase, and make each workout feel like it belongs to a bigger progression.
Tell it what you are training for
Vectra starts with your goal, your schedule, your equipment, your workout preferences, and anything the plan should account for.
Get a real block, not random workouts
The app generates a focused 2-week phase instead of throwing disconnected sessions at you day after day.
Let the next phase earn its way in
Workouts, session feedback, and block evaluation shape what comes next, whether that means pushing, consolidating, or backing off.
The loop
One focused rhythm from setup to next phase.
Vectra is easiest to understand when you see the whole motion: set up the plan, live inside the workout, record how it felt, then let the next block respond.
01
Onboarding
Choose your goal, workout days, schedule style, start date, available equipment, and the kind of training you want to do.
02
Program Generation
Vectra builds the first 2-week block around your inputs. If your real start date is later, it can ease you in with prep sessions first.
03
Guided Workouts
Each workout moves through warm-up, sets, timers, cooldown, and simple in-session adjustments when the day changes.
04
Feedback
After sessions, you can log how the workout felt. During the block, check-ins help capture energy, mood, stress, or weight when they matter.
05
Evaluation
At the end of the block, Vectra evaluates how the phase landed and uses that to generate the next one with a clear intent.
Inside the product
The app surfaces are all built around the same question.
What should the user do right now, and how does that fit into the plan they are actually on?
Home timeline
Today’s workoutOpen the app and know what today is
The home experience is built around a focused daily timeline: today’s workout, a rest day, a completed session, or your next evaluation.
Workout runtime
Rest • 60sStay in the session without losing momentum
Warm-up, sets, timers, cooldown, and quick adjustments are all designed to keep the user inside the workout instead of bouncing between tools.
Coach layer
Coach onlineGet context-aware help without breaking the plan
Coach chat and exercise adjustments live inside the product, but the app keeps formal program changes inside the evaluation cycle.
Block progression
Next phase readySee what the phase meant and what comes next
The loop does not end at workout completion. Session feel and adherence feed an end-of-block evaluation that shapes the next phase.
Current product scope
The current build already covers the core coaching loop.
This landing page is intentionally grounded in what is already represented in the canonical Vectra repo, not an imagined future release.
Current product focus
The current product effort is centered on the loop that makes the app feel legitimate: onboarding, block generation, workouts, feedback, evaluations, and next-phase progression.
Grounded product note
This page reflects the current product direction and implemented coaching loop in the canonical Vectra Fitness repo. It does not claim a public launch, app-store release, or full production rollout.
Cire Studios
Want this level of product clarity for your own app?
Vectra is a good example of how we like to build: strong product framing, tight interaction loops, and a visual system that feels like the product, not a template wrapped around it.