Persistent athlete record
Supported connected and uploaded training records are organised into an athlete-specific history, subject to source permissions and platform policies.
Data and AI
Your data should remain understandable and controllable
Flow Momentum separates source records, calculated indicators and AI-supported interpretation so athletes and coaches can see what each conclusion is built on.
Source-agnostic intake
Automatic connections and supported manual files can contribute to the same coaching view. Provenance remains available to the system.
Deterministic calculations
Load, readiness and activity indicators are calculated by explicit services. They are not invented by a language model.
AI-supported interpretation
AI helps explain data, search approved knowledge and structure responses. It must use the selected athlete's authorised context.
Visible uncertainty
Missing, stale or unsupported inputs lower confidence or appear as unavailable rather than being silently filled.
Scoped access
Athletes control coach relationships and memory visibility. Coach workspaces use subject and workspace boundaries.
Knowledge
Curated expertise in four domains
Performance, Nutrition, Communications and Team experiences are built around maintained specialist knowledge bases and research-backed sources. Knowledge-base coverage is reviewed as part of release and content operations rather than presented as instant or infallible scientific certainty.
Processing choices
Choice should be explicit
Where more than one AI processing profile is available, the selected profile and its implications should be shown in product settings. Provider-specific availability is confirmed in the deployed product and current Privacy Policy rather than promised here.
Three distinct layers
The system can learn context without confusing it with global knowledge
Flow Momentum keeps specialist knowledge, athlete evidence and individual memory conceptually separate. This makes it clearer what supports an answer and prevents one athlete's context from becoming another athlete's assumption.
Shared specialist knowledge
Curated knowledge bases support Performance, Nutrition, Communications and Team experiences. Sources are maintained as the evidence base and product scope evolve.
The athlete record
Supported training, recovery and profile data provide the longitudinal evidence for one athlete. Availability and provenance remain visible to the system.
Confirmed athlete memory
Goals, preferences, constraints and useful coaching context can be retained for that athlete after confirmation, with access controlled by the relevant relationship.
Individual learning is not silent model training
Persistent athlete memory is a controlled product record, not a claim that a shared AI model retrains itself on every conversation. Relevant learnings should be confirmed, scoped to the athlete and available for review or correction. Current provider processing and user rights are described in the Privacy Policy.
Important boundary
Flow Momentum supports performance and wellness decisions. It does not diagnose, treat or monitor medical conditions, and its outputs should not override professional healthcare advice or immediate safety concerns.