Coaching Operating System

Prepared. On Purpose.

SigWren is a comprehensive coaching system designed to guide athletes toward defined objectives with clarity and control.

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Coach dashboard triage view showing athlete priority queue and daily decision signals

Real software first. Coaches see who needs attention and why.

Section 2

Every build starts with direction.

An objective may be a race, a performance target, or a capability shift. SigWren translates that objective into structured coaching direction.

Race Intelligence panel comparing demand versus athlete capability dimensions

Objective modelling in shared dimensions.

Training setup constraints screen showing available days, load boundaries, and safety caps

Constraints are explicit before planning begins.

Section 3

Preparation lives in the daily signal.

Daily readiness, sleep, HRV, engagement, and training logs are surfaced as meaningful signals, not noise.

Athlete wellness trend cards showing HRV, sleep quality, and readiness drift over time

Signal quality over data quantity.

Coach triage board highlighting athletes needing immediate intervention

Daily signal-to-decision loop for coaching actions.

Section 4

Assisted. Not automated.

SigWren includes two layers of AI assistance. AI supports coach judgment and context handling. It does not replace coach programming decisions.

Alice

A knowledgeable running companion. Alice understands terminology, gear, physiology, race formats, and training language. Alice does not construct programming.

Ada

A senior assistant coach. Ada interprets objective modelling, daily signals, and context, then surfaces priorities and drafts aligned communication to support coach decisions.

Ada triage output screen with priority summary, rationale, and suggested coach communication

AI Positioning: Coach decisions remain explicit, accountable, and documented. Assistance improves speed and consistency under pressure.

Section 5

Structure beneath the surface.

The system combines modelling, safety constraints, and documented override workflows. When timelines are tight, decisions remain explicit and recorded.

Gap Analysis modal comparing objective demand and athlete capability with readiness interpretation

Decision context with clear mismatch visibility.

Non-standard plan workflow showing safety checks and documented override capture

Governance preserved when plans diverge from defaults.

Section 6

Execution, not emotion.

Segment-level pacing and stop-time strategy are built from demand modelling, not guesswork.

Race strategy modal showing segment pacing and aid station stop-time plan

From model to race-day execution

Strategy output connects terrain demand, athlete capability, and expected fatigue so race plans are practical at every segment.

Pacing Basis Demand

Stop-Time Basis Plan

Section 7

From first session to start line.

Capabilities are tracked across endurance, terrain, resilience, and technical dimensions inside a single system.

Capability assessment bars across endurance, terrain, resilience, and technical dimensions

Run analysis screen linking training execution with objective readiness progression

High tech under the hood. Simple at the surface.

Built for coaches. Built for objectives. Built for preparation.

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