Sample Builds

Real, working PoC and MVP systems we've designed and built. None of them are products for sale — they're proof of what an engagement produces, and every one can be demonstrated live on request.

Draft operations

Prospect Board Prediction

An interactive what-if draft board: a deterministic model ranks prospects from internal, external, and ball-tracking evidence, and staff move the weights to see how the board reorders.

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Contracts & valuation

Player Contract Modeling

An agentic contract advisor for front offices: plain-English questions, numbers-first answers on draft bonuses and pro deals, grounded in a normalized contract database with comps and evidence.

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Front office

Employee Evaluation Analysis

An AI-guided 360 evaluation workspace for baseball-operations staff: rough notes go in, a fair, evidence-based, rubric-grounded evaluation comes out — reviewed by you, exported as PDF or DOCX.

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Game day

Advance Scouting Intelligence

A nightly pipeline reads the public baseball web for every upcoming game and hands advance scouts an eight-section, source-cited brief — with a chat layer grounded in the evidence.

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Draft operations

Web Draft Intelligence

An evidence-linked read on how the public web values a draft class: consensus, red flags, and disagreements for ~150 prospects, every claim cited — a calibration layer beside internal grades.

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Game intelligence

Pitch Tipping Analysis

Game intelligence from pitcher tendency detection — find the tells in your opponents and eliminate them in your own staff before someone else does.

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Scouting operations

Scout Visit Optimization

An AI-first scouting-trip planner: plain-language requests become optimized itineraries — who to see, at which games, in what order — balancing coverage, travel, and reimbursement-grade cost.

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Scouting operations

Scout Audio Insights

An offline-first, voice-first field platform: scouts tap-record notes at the park; the system transcribes, extracts entities and sentiment, and makes every observation searchable through grounded, cited AI chat.

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Game intelligence

ABS Insight Modeling

Modeling and insight around Automated Ball-Strike data — how the machine zone and the challenge system shift pitching, receiving, and hitting value, and what to do about it.

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If something here maps to a problem your organization has, describe your project — the fastest way to understand these systems is a live demo. And if your problem isn't on this page, that's normal: most engagements start with a tool that doesn't exist yet.

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Every sample build can be demonstrated live. Tell us which one maps to your problem — or describe the tool that doesn't exist yet.

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