1) What it does This tool checks whether the things you emphasize in practice are actually showing up in games. You paste: - Your last 2–3 practice emphasis points - Your last game notes or stats AI tells you: - What transferred - What didn’t - What needs to be taught differently (not more) This saves wasted practice time and helps you coach smarter, not louder. 2) Examples 🏀 Basketball Example Practice emphasis: - “Sprint back in transition” - “Paint touches before shots” - “Early help in PnR” Game notes: - “Gave up 12 fast-break points” - “Settled for early jumpers” - “Late tags on rollers” AI Output: - Didn’t transfer: Transition sprint rule (accountability unclear) - Partially transferred: Paint touches (only in first half) - Didn’t transfer: Early help (decision speed issue, not effort) Coaching Fix: - Add a consequence-based transition drill - Use a “2-pass minimum” constraint scrimmage - Teach help positioning earlier in the rep, not at contact ⚽ Soccer Example Practice focus: compact shapeGame issue: stretched lines after turnoversAI flags teaching gap, not conditioning gap 3) 6-Step Prompt 1. Task: Compare my practice emphasis points to game outcomes and identify transfer gaps. 2. Role: You are my teaching-efficiency assistant. 3. Context: In-season coach trying to maximize practice impact. 4. Specific Requirements: 5. Boundaries: Do not suggest adding more practice time. 6. Reasoning: Explain how learning transfer breaks down under game pressure. One-paragraph version:“Compare my practice emphasis points to game results and tell me what transferred, what didn’t, and how to teach it better.”

AI Substitution Pattern Optimize rSeason 1) What it does This helps you optimize when and how you sub, not just who plays. You give AI: - Minutes played - When runs happened - Who was on the floor It returns smarter sub windows that protect leads, stop runs, and maximize energy — without changing your rotation philosophy. This saves time and wins games because most runs happen during poor substitution timing. 2) Examples Basketball ExampleInput notes: “Star sat at 4:00 Q2, we gave up 8–0 run. Bench unit struggles to score. Energy drops late Q3.” AI Output: - Shift star’s first rest to 2:30 Q1 instead of Q2 - Pair bench PG only with at least one starter - Use “defensive lineup” for last 90 seconds of each half Hockey ExampleInput: “Goals allowed late in shifts, D pairs slow on changes”Output: - Shorter shift windows - Staggered D-pair changes to protect momentum - 3) 6-Step Prompt 1. Task: Analyze my substitution patterns and suggest better timing to prevent runs. 2. Role: You are my in-game rotation strategist. 3. Context: In-season basketball where momentum swings during substitution windows. 4. Specific Requirements: 5. Boundaries: Do not change my rotation philosophy or personnel hierarchy. 6. Reasoning: Explain how timing impacts runs and energy. One-paragraph version:“Review my substitution timing and suggest better windows to prevent opponent runs without changing who plays.”

Late‑Game Situational Planner Season 1) What it does This tool rapidly converts your opponent notes, player strengths, and clock/score scenarios into clear late‑game action plans. It saves time by eliminating manual scenario mapping and helps coaches win more tight games through crisp, pre‑built decision trees. 2) Examples Basketball Example Input notes:“Opponent switches 1–5 late; weak defensive rebounding; star lefty forces right-to-left drives; they foul poor FT shooters intentionally under 0:40.” Output highlights: - Best action when tied: Empty‑corner ghost into mismatch attack vs switches - Best action when down 1–3: Quick drag → Spain variation to force a rebounding scramble - Situational alert: Protect your weak FT shooters from being trapped on inbounds - Defensive plan: Shade star lefty to their weaker hand; crash 3 to punish poor rebounding Football Example Input: “Opponent blitzes heavy on 3rd‑and‑medium; corner depth soft in 2‑minute drill.”Output: Late‑game call sequences designed around quick‑hit beaters and boundary access. 3) 6‑Step Prompt 1. Task: Turn my notes into a simple, clear late‑game action plan for multiple score/clock situations. 2. Role: You serve as my situational‑strategy assistant. 3. Context: In‑season games where execution in the final minutes decides outcomes. 4. Specific Requirements: 5. Boundaries: No fictional tendencies or invented stats. 6. Reasoning: Short explanation showing why each option fits the described tendencies. One‑paragraph version:“Turn my notes into a streamlined late‑game plan with actions for different score/clock situations.”

Play‑Call Optimizer 1) What it does This tool takes scouting notes, lineup strengths, and opponent tendencies and converts them into quick-hit, high‑efficiency play‑call options for different game states. It shortens prep time, sharpens decision‑making, and helps coaches consistently create better looks without sifting through pages of film or notes. 2) Examples Basketball Example Input notes:“Opponent switches 1–4, shows early gap help, weak rim protection, our best actions involve ghost screens and Spain variations.” Output: - Best calls vs switches: Ghost PNR + slip actions - Best calls vs gap help: Wide‑angle Spain to force confusion - Quick-hit options when needing a score: Early drag into Spain, empty‑corner ghost action Football Example Input: “Opponent slow to rotate safeties; overplays motion; weak edge contain.”Output: Suggested call tags for different down‑and‑distance situations. 3) 6‑Step Prompt 1. Task: Turn my scouting notes into a prioritized list of play‑call options for specific game situations. 2. Role: You act as my tactical assistant, recommending efficient, situation‑appropriate actions. 3. Context: In‑season basketball preparing for opponents with identifiable tendencies. 4. Specific Requirements: 5. Boundaries: No invented tendencies—everything must derive from my notes. 6. Reasoning: Brief explanation connecting the tendencies to the recommended calls. One‑paragraph version:“Convert my scouting notes into prioritized play‑call options for various game situations.”

1) What it does This tool converts defensive mistakes—late tags, bad closeouts, ball‑screen miscues, poor rotations—into a diagnosed list of root causes with fast, targeted fixes. It trims film time, accelerates teaching, and helps teams eliminate repeated defensive breakdowns. 2) Examples Basketball Example Input notes:“Late weak‑side help. Bigs dropping too far. Guards going under when they shouldn’t. Closeouts inconsistent.” Output: - Problem Clusters: Late tags, poor coverage discipline, angled closeouts - Likely Causes: Slow initial positioning; misread screen direction; over‑drop by bigs - Fast Fixes: Pre‑load help early, flatten drops on shooters, use ‘choppy‑to‑high‑hand’ closeout standard - Focus Players: Guards responsible for top‑lock reads Hockey Example Input: “Slow weak‑side rotation; defense collapsing too deep.”Output: concise adjustment plan highlighting lane control and rotation speed. 3) 6‑Step Prompt 1. Task: Analyze my defensive notes and produce a clear diagnosis with tactical fixes. 2. Role: You are my defensive‑efficiency assistant focused on eliminating repeat errors. 3. Context: In‑season basketball needing rapid defensive improvement before the next game. 4. Specific Requirements: 5. Boundaries: No invented schemes—recommendations must be grounded in the provided notes. 6. Reasoning: Brief internal logic linking each fix to the diagnosed issue. One‑paragraph version:“Turn my defensive notes into root‑cause diagnoses with targeted fixes and a brief focus list.”