Track athlete performance and alert coaches when numbers slip

Logs every training session, flags athletes whose numbers fall below target, and sends weekly summaries automatically.

How the work actually flows

It branches. Any that apply are taken.

Pattern: Sequence (1) · Multi-Choice (6)

flowchart TD trig>"training session form submitted"]:::trig s0[("log session to spreadsheet")]:::store s1["AI reviews history for drops"]:::task trig --> s0 s0 --> s1 gx{"○ which alerts to send"}:::gate s1 --> gx p00["notify coach immediately"]:::task gx -->|"threshold crossed"| p00 p10["compile and send weekly summary"]:::task gx -->|"weekly cadence"| p10 p00 --> out p10 --> out out[/"immediate alerts and weekly report"/]:::out pay{{"catch performance drops early"}}:::pay out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepA record or sheetAny that applyResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsEmail AutomationMessaging & NotificationsSpreadsheet & Database OpsSurvey & FeedbackEducation & Training
Connects
OpenAIGoogle SheetsSlackGmail

The problem it solves

You spend hours after every practice combing through notes to see who is falling behind. By the time you notice a real problem, the athlete may already be at risk, and your team misses the weekly trends that matter.

Who it fits

Sports coaches and athletic trainers who track individual athlete performance over a season.

How it works

  1. A training session form is submitted for an athlete
  2. The session is logged to a spreadsheet alongside past history
  3. AI reviews the combined data and flags any performance drop
  4. Coaches get a Slack alert or email the moment a threshold is crossed
  5. Every week, a full summary is compiled and sent to Slack and email
What you get

Athletes flagged the moment their numbers slip

Coaches see every athlete's training trends at a glance and get alerted the moment someone's performance starts slipping.

What you get

A logged training history plus instant alerts and a weekly team performance summary.

What you need

A Google Workspace account, an OpenAI account, a Slack workspace, and a Gmail account.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

Related automations

Automatically review and route legal policy submissions

AI reviews submitted policies, checks compliance, and routes approvals to Slack, Gmail, and Google Sheets automatically.

Advanced

Automatically sort and route product feedback to your team's tools

Feedback from any channel gets classified by AI and sent straight to Jira, Slack, Notion, or your tracker.

Advanced

Automatically log and route UX feedback from testers with AI

Reads tester feedback, has AI summarize and categorize it, logs it to a spreadsheet, and replies to the tester.

Advanced

Automatically log project feedback as tasks in Google Sheets

AI reads incoming feedback, sorts it by type, and logs tasks straight into your spreadsheet.

Advanced
Back to the AI Playbook