How WizFit is built

WizFit is an operating platform for gyms, not an AI workout generator. Its architecture connects member, site, real equipment, business rules, training and nutrition into a single logic that sustains itself over time.

The system combines a member identity and access layer, a context and gym-rules layer, an equipment-aware planning engine, an optional coach review layer, and an operations and tracking layer. Every decision propagates consistently across these layers.

• Member access is designed to remove friction and start delivering value in seconds, not days. — Autologin: the member opens their routine from a personal link, with no accounts or passwords. · Self-service: they can get a personalized plan instantly, inside the gym's rules and standards. · Nexus identifies the member, their site, goal and history so the system acts with context from the first click. · If preferred, the flow can be combined with coach review before delivery.
• Planning does not come from a loose prompt: it comes from the combination of member data, real equipment in the site and the gym's technical rules. — Hyperpersonalization: each plan considers goal, level, body type, injuries and real progress. · Equipment-aware AI: the AI only prescribes exercises that can be performed with the machines available in that site. · Approved exercise library: the single source of truth for which exercises, levels and restrictions the gym accepts. · Business guardrails: quality criteria, automatic substitutions and technical limits defined by leadership. · The plan is executable from day one, with no rework from the coach.
• The real difference of WizFit appears in month 2, month 6 and month 12: the system keeps every member on an active plan without depending on staff availability. — Autopilot: keeps every member's plan up to date inside the gym's rules. · Batch: applies bulk changes by site, goal, level or equipment without opening member by member. · Coaches move from manual planning to supervising exceptions and high-value cases. · Structured member feedback flows back into the engine for the next cycles. · Reports give visibility by site, coach, program and real plan adoption.

How the modules connect

WizFit is organized in independent layers that share the same data and rules. A change in one layer is reflected automatically in the others.

• Identity & access — Autologin, member profile, assigned site.
• Context & rules — Nexus, goal, restrictions, per-site equipment, guardrails.
• Planning engine — Equipment-aware AI + Approved exercise library + Hyperpersonalization.
• Review & supervision — Optional coach review, technical adjustments, approval.
• Execution & tracking — Member app, session logging, structured feedback, BIA.
• Operations & scale — Autopilot, Batch, reports, integrations (CRM, member app).

What information flows between layers

• From the member to the system: goal, injuries, preferences, progress, feedback.
• From the gym to the system: per-site equipment, technical standards, programs, substitution rules.
• From the system to the member: a personalized, executable and up-to-date plan.
• From the system to the gym: adoption, retention per segment, staff workload, equipment usage.

What problem this architecture solves

The architecture exists to solve concrete gym operations problems, not to stack features.

• Less operational workload: staff stops planning member by member by hand.
• More consistency: technical quality no longer depends on individual judgment.
• Sustainable personalization over time, not only on the first plan.
• Better member experience: active, executable plan adapted to their site.
• Real visibility by site, coach and program for business decisions.

In one sentence

WizFit connects member, site, equipment, rules and planning into a single architecture that keeps every member on an active and executable plan, without adding workload to the staff.

System flow

From member entry to gym operations.

Member

System entry

Autologin · Self-service

Context & rules

Nexus · site · equipment · guardrails

Planning engine

Equipment-aware AI · Approved library · Hyperpersonalization

Coach review

Optional supervision · technical adjustments

Execution

Active plan · structured feedback

Operations & scale

Autopilot · Batch · reports

Feedback and data flow back to the member context for the next cycle.