Videogame Feedback: Development Team Breakdown: Boxer Tendencies, Traits, and Gameplay Systems

For a serious boxing sim game with 200+ boxers and many other non-playable characters (NPCs like coaches, referees, cutmen, promoters), you’ll need a highly modular and scalable team. Below is a breakdown of how many developers, artists, designers, and engineers you'd need—focused on boxer tendencies, mechanics, and supporting gameplay systems.

📊 Team Size Recommendation for Core Gameplay Systems (Tendencies, Mechanics, AI)

Assumes a mid-to-large studio (~40–80 devs total), targeting high realism, replayability, and deep boxing sim systems.

Role	Suggested Headcount	Primary Responsibilities
Gameplay AI Engineers	3–5	Develop AI logic, tendency parsing, decision trees, trait stacks, match strategy evolution.
Combat System Engineers	2–3	Handle input windows, punch mechanics, stamina/fatigue transfer, dazed/get-up states.
Tendency/Data Designers	2–4	Define over 800 tendencies, tune values per boxer, build archetypes, style trees.
Technical Animator(s)	1–2	Integrate tendencies with animation states, sync with motion & physics.
Boxing System Designer(s)	1–2	Ensure realism in mechanics/tendency interaction, balance traits for all boxer types.
AI QA/Playtest Analyst	1–2	Test 1v1 scenarios, behavior profiles, reaction to stat/tendency shifts mid-fight.
Tool Developer	1	Build Unity/UE5 dashboard editors for assigning and modifying tendencies/traits.
Data Engineer (optional)	1	Handles CSV/JSON → SO/DT parsing, builds importer/exporter, telemetry hooks.

✅ Core AI + Mechanics Team Size: 12–20
These can overlap roles, especially in smaller teams.

🔩 Supporting Dev Roles (for Integration and Expansion)

Role	Suggested Count	Function
UI/UX Devs	2–3	Show tendencies, stats, traits visually in menus, between-round analysis, fighter profiles.
Narrative/Presentation Designers	1–2	Build behavior-linked commentary, rival dynamics, legacy arcs.
Animation Team	3–6	Create behavior-driven animations (e.g., "wrecking ball pressure", "back-foot counter artist", clinch types).
Boxer Data Entry Assistants	2–3 (temp or part-time)	Populate 200+ boxers with proper tendencies, traits, bios, AI tags.

🧠 Reason for Larger AI & Tendency Team

Over 200 fighters × 800 tendencies = 160,000 potential relationships.
Each fighter has:
- Styles (e.g., pressure, counterpuncher, outfighter).
- Contextual behavior (dazed, losing, vs. southpaw, etc.).
- Trait overrides (e.g., “more dangerous when hurt”).
You’ll need tools, templates, and validation systems to manage this complexity.

⚙️ Breakdown of Workload

For 200 Fighters:

6–10 Archetype Bundles: Classic Boxer, Slugger, Swarmer, Counterpuncher, Spoiler, Slickster, Hybrid.
200+ Tendency/Stat Profiles with:
- Base traits (e.g., Chin, Stamina, Ring IQ)
- 30–50 selected tendencies per boxer
Integration with:
- Stamina system
- Cut damage AI
- Referee/coach behavior
- Style-specific animations
Testing dozens of AI matchups in various difficulty settings

🧩 Example Team Distribution Chart

Department	Count	Key Deliverables
🧠 AI/Gameplay Mechanics	15	Tendencies, dazed/get-up logic, footwork AI, style logic
🎨 Animation & Mocap	5	Anim sets per style, hurt reactions, footwork variations
🛠 Tools/Pipeline	2	Stat editors, tendency dashboards, fighter profile builder
🧪 AI Testing/QA	2	Match AI vs. AI + player testing, behavior bug reports
🧾 Boxer Data Entry & Config	2	Populate 200+ profiles, tune traits, assign styles
🎭 Narrative/Style System	1–2	Voice line linking, commentator reactions, trainer cues

🎯 How Many Additional Hires Does Steel City Interactive Need?

For a game like Undisputed (by Steel City Interactive) to fully realize a deep AI tendency and mechanics system across 200+ boxers, SCI will likely need to expand by an estimated 20–35 additional hires, depending on how much of the work is already modularized and how many specialists they currently have.

🧠 Contextual Premise

Undisputed already has:

A strong base roster and character models.
Licensed fighters with unique styles.
An existing combat system and movement base.
Early AI and traits (e.g., some fighters being better on the inside or out).

But to reach simulation-level depth with:

800+ behavioral tendencies,
Highly reactive AI,
Get-up, dazed, stamina, and pressure mechanics based on fighter style,
Trait stacking with system-wide interplay...

They'll need more specialists, particularly in AI design, systems architecture, and gameplay animation integration.

🧮 Breakdown of Estimated Additional Hires

Department	# Needed	Why It’s Required
AI/Gameplay Engineers	5–7	Expand AI logic to cover real-time adaptation, style expression, decision trees, reactive behaviors, and stamina/trait interplay.
Boxing Data/Tendency Designers	4–6	Build and balance tendency profiles, integrate real-world boxer data, validate realism per fighter.
Technical Animators	2–3	Sync hurt states, dazed logic, get-up phases, movement with trait/tendency systems.
Tool Developers (Unity/Unreal)	1–2	Build editors for trait/tendency assignment, boxer behavior debugging, AI profiling dashboards.
Gameplay Designers (Boxing Experts)	2–3	Design styles, simulate matchups, validate emergent behavior and system cohesion.
AI/QA Analysts	2–3	Continuous testing of style behaviors across 200 fighters, tune edge cases, log mismatch issues.
Animation Team Additions	3–5	Add variety in AI-driven animations (e.g., different clinch reactions, punch recovery speeds, pressure footwork).
Narrative & Fight Presentation Design	1–2	Enable adaptive commentary, style-specific intros, between-round trainer behavior based on fighter tendency/archetype.

📈 Total: 20–35 new hires, with emphasis on AI, Systems Design, Technical Animation, and Data-Driven Boxing Knowledge.

🧩 Key Hiring Gaps SCI Likely Has (2025 Estimate)

Need	Current Status (based on available info)	Gap
AI Behavior Specialization	Limited; current AI is functional but not deeply emergent.	⚠️ Needs at least 5 new engineers.
Tendency/Archetype System Depth	Early stages; some fighters reflect real style, but many feel generic.	⚠️ Needs 4+ designers + tools to scale.
Dazed/Get-Up/Hurt Logic	Present, but not style-reactive or richly animated.	⚠️ Needs animation & state machine logic expansion.
Tooling for Boxer Behavior Assignment	Unknown; likely internal tools, but not designer-friendly.	⚠️ Needs 1–2 tool devs + UI.
Fighter Variation via Traits	Exists at a basic level (e.g. stamina, chin).	⚠️ Needs deeper stacking + effect variety.

🚀 Strategic Hiring Timeline (If Scaling in 12 Months)

Timeframe	Focus
Months 1–3	Hire AI engineers, combat designers, and data designers to define architecture and create modular boxer templates.
Months 4–6	Bring in animators and technical artists to build dazed/get-up/staggering integration with traits/tendencies.
Months 6–9	Hire tool developers and QA to accelerate internal production and debugging.
Months 9–12	Focus on polish, cross-style AI matchups, career mode integration, and content pipeline finalization.

📊 Steel City Interactive – AI/Mechanics Expansion Plan

Objective: Deliver world-class simulation-level AI systems for 200+ boxers with unique tendencies, traits, and realistic mechanics in a boxing sim.

🧠 PART 1: HIRING PLAYBOOK

🧱 Role Matrix – AI & Mechanics Focused Team

Role	Count	Core Skills	Priority	Notes
Gameplay AI Engineer	5–7	State machines, behavior trees, boxing logic, adaptive AI	🟥 High	Must understand real-time combat decision making.
Combat Systems Engineer	2–3	Punch logic, stamina systems, get-up states, recovery	🟥 High	Ideally has fighting game or sports sim experience.
Tendency & Trait Designer	4–6	Game design, psychology, boxing knowledge, data tagging	🟧 Medium	Needs to think like a matchmaker and a boxer.
Technical Animator	2–3	Animator controller logic, blend trees, hit reactions	🟧 Medium	Integrates physical response with AI triggers.
AI QA Analyst	2–3	Edge case discovery, AI matchup testing, telemetry	🟨 Low	Validates emergent behavior and regression issues.
Tool Developer	1–2	Unity/UE Editor tooling, runtime AI visualization	🟩 Support	Builds designer/editor-friendly AI dashboards.
Narrative/Fight Presentation Designer	1–2	Commentary triggers, rivalry scripting, emotion logic	🟩 Support	Connects AI to crowd/coaches/referees dynamically.

👥 PART 2: ORG CHART MOCKUP (AI + MECHANICS)

plaintext
Creative Director
└── Gameplay Systems Lead
    ├── AI & Combat Programming Team
    │   ├── 5x AI Engineers
    │   └── 3x Combat Systems Engineers
    ├── Tendency/Stat Design Unit
    │   └── 4x Tendency Designers
    ├── Animation Integration
    │   └── 2x Technical Animators
    ├── Tooling & Pipelines
    │   └── 2x Tool Devs
    ├── AI QA + Balancing
    │   └── 2x AI Testers
    └── Fight Style Narrative Team
        └── 1x Presentation/Narrative Designer

📋 PART 3: TASK BREAKDOWN (PER ROLE)

✅ AI Engineers

Build real-time behavior systems based on:
- Ring positioning logic
- Tendency-driven decision tree execution
- Reactive state transitions (e.g., when stunned)
Implement style-aware logic: pressure, counterpuncher, swarmer, etc.

✅ Combat Engineers

Expand punch impact mechanics using:
- Boxer fatigue
- Momentum shifts
- Defensive posture on hit
Create systems for:
- Stagger logic
- Get-up mini-game types
- Stumble zones (linked with hit zones)

✅ Tendency Designers

Build a tagging matrix linking:
- Traits ↔ Tendencies
- Archetypes ↔ Stat Ranges
Design 200 boxer-specific profiles
Prototype matchup simulations (AI vs AI)
Define combo logic and counter habits per style

✅ Technical Animators

Work on blend tree tuning for:
- AI-controlled idle motion
- Dazed states
- Ring movement by style (e.g., pivot-heavy, pressure-footwork)
Sync animation with AI decisions

✅ Tool Developer

Create:
- Boxer profile editor (with trait & tendency assignment)
- AI telemetry dashboard
- Animation + state sync tool

✅ QA/AI Analyst

Build AI stress-test library
Validate styles function across:
- Fatigue conditions
- Match contexts (early, late, round-ending)
- Matchups (orthodox vs southpaw, etc.)

🗓️ PART 4: 12-MONTH INTEGRATION ROADMAP

📆 Months 1–3

Hire: Core AI Engineers, Combat Engineers, Tendency Leads
Deliverables:
- AI/Tendency System Architecture
- Draft Boxer Archetype Matrix
- Boxer Trait Framework (ScriptableObjects/DataTables)

📆 Months 4–6

Hire: Technical Animators, Tool Dev, Narrative Designer
Deliverables:
- AI-driven blend trees (stagger, dazed, clinch escape)
- Editor tools for Boxer Profiles
- First 20 boxers fully profiled + tested

📆 Months 6–9

Hire: QA Testers, Stat Designers, Additional Animators
Deliverables:
- Style-vs-style matchup matrix
- Profile Exporter/Importer pipeline
- Cinematics linking style behavior to commentary/coaching

📆 Months 9–12

Full system polish, playtesting
Final 200 boxer profiles entered
Fight Night Simulation Mode (AI-only showcase)
Data validation pass on traits/tendency uniqueness

📈 PART 5: JIRA EPIC & TASK BOARD LAYOUT

This structure supports Agile sprints (2-week cycles), cross-functional teams, and layered delivery of AI/traits/tendencies per fighter.

🧩 Epics (Top-Level Features)

Epic ID	Name	Description
`AI-001`	Tendency-Based AI Framework	Core decision tree / BT logic for boxer personality and style expression.
`AI-002`	Trait Stack & Impact Systems	Trait logic that dynamically affects combat performance, reaction, and endurance.
`AI-003`	Boxer Profile Pipeline	Tools and pipeline to create, edit, validate boxer AI behavior and stats.
`AI-004`	Dazed, Stagger, Recovery Logic	Integration of realistic injury/stun states and get-up minigames.
`AI-005`	Boxer Archetype System	Framework and visuals for classifying boxer styles, behavior templates, and exceptions.
`AI-006`	AI QA Suite & Match Simulator	Automated testing for AI matchups and boxer profiles, including emergent behavior logging.

🗂️ PART 6: JSON/CSV TEMPLATES FOR BOXER DATA

🧠 Boxer_Tendencies.json

json
{
  "boxer_id": "MUHAMMAD_ALI",
  "archetype": "Outboxer",
  "traits": ["Showman", "Durable", "Counter_Specialist"],
  "tendencies": {
    "Offensive": {
      "JabFrequency": 0.9,
      "PowerPunchRisk": 0.3,
      "ComboLengthAvg": 2.5
    },
    "Defensive": {
      "LeanBackUsage": 0.8,
      "GuardSwitchRate": 0.6,
      "FootworkEscapes": 0.85
    },
    "Aggression": {
      "InitiateExchangeRate": 0.4,
      "DistanceControlFocus": 0.95
    },
    "Psychological": {
      "ComebackResponse": 0.9,
      "TrashTalkChance": 0.4
    }
  },
  "get_up_style": "ElegantRoll",
  "hurt_response_type": "BackstepAndGuard"
}

📊 Boxer_Stats.csv

csv
Boxer_ID, Power, Speed, Chin, Stamina, Accuracy, Defense, RingIQ, Recovery, Adaptability
MUHAMMAD_ALI, 78, 96, 92, 88, 94, 91, 99, 90, 97
GEORGE_FOREMAN, 98, 75, 94, 83, 72, 74, 80, 89, 76

🛠 PART 7: TOOLING UI WIREFRAMES (UNITY + UNREAL)

🎛️ 1. Boxer Profile Editor

Sections:
- Boxer ID & Name
- Archetype Dropdown (Pressure, Outboxer, Swarmer, etc.)
- Editable Sliders or Input Fields:
  - Traits (multi-select)
  - Tendencies (nested categories with sliders or number input)
  - Stats (power, speed, chin, etc.)
- Live preview:
  - AI summary (“This boxer tends to control distance with jabs and escapes via footwork.”)

🔍 2. Tendency Debugger

During AI vs AI simulation:
- Real-time pie charts for Offensive vs Defensive output
- Trigger log (e.g., “LeanBack > CounterHook > Retreat”)
- Heatmap of ring movement
- Fatigue/Chin impact over time

🧰 3. Data Import/Export Window

CSV / JSON drag-and-drop loader
Profile validation pass (flag missing traits/tendencies)
Export to DataTables (UE5) or ScriptableObjects (Unity)

🔗 PART 8: TRAIT–TENDENCY–ARCHETYPE MAPPING TABLE (SAMPLE)

Archetype	Common Traits	Tendency Emphasis	Notes
Swarmer	Relentless, StaminaTank, IronChin	High aggression, close-range exchanges, body-focused combos	Custom AI stamina drain logic needed.
Outboxer	FootworkMaestro, JabArtist, CounterSpecialist	Jab volume, movement, lean-back defense	AI avoids corners, favors jab→retreat chains.
Brawler	KOHunter, RiskTaker, ThickSkinned	Power over precision, wide hooks, low guard rates	Needs extra animations for reckless hurt states.
Counterpuncher	Patient, HighRingIQ, TrapSetter	Low aggression, reactive defense, baiting	Get-up behavior adjusted for survival focus.

🧪 PART 9: AI PLAYTEST VALIDATION SHEET (GOOGLE SHEET STRUCTURE)

Matchup	Boxer A	Boxer B	Key Traits	Key Tendencies	Behavior Observed	Issue?	Notes
Test-01	Ali	Frazier	FootworkMaestro vs PressureMonster	DistanceControl vs InsideFighter	Ali jabbed and pivoted, Frazier trapped corners	❌	Frazier trapped too easily
Test-02	Tyson	Foreman	IronChin + KOHunter	MidRangePower vs CounterTrap	Tyson flurried early, Foreman stunned him	✅	Correct behavior
Test-03	Lomachenko	Haney	HighIQ vs FootworkMaestro	RhythmDisruption vs JabVolume	Lomachenko broke rhythm mid-round 2	✅	Smooth transitions, effective

🧠 PART 10: TEAM HIRING DESCRIPTIONS

🎯 AI ENGINEER

Develop and tune real-time AI behavior trees for boxing gameplay. Responsibilities include designing boxer-specific responses to pressure, fatigue, and damage using modular logic systems and tendencies. Experience in fighting games or sports sims strongly preferred.

🎯 TENDENCY DESIGNER

Research, model, and author tendency profiles based on real-world fighters. Must create emergent boxing behavior through tag systems, decision matrices, and matchup tuning. Boxing knowledge critical.

🎯 COMBAT SYSTEMS ENGINEER

Implement stamina, damage, recovery, and impact logic that adapts to fighter traits. Build extensible systems that evolve as matches progress, with AI visibly changing behavior due to cumulative impact.

(…etc. for other roles — can be expanded on request)

⚙️ PART 11: IMPLEMENTATION FORMATS (UNITY + UNREAL)

🧩 Unity: ScriptableObject Framework (Simplified)

csharp
[CreateAssetMenu(fileName = "BoxerTendencyProfile", menuName = "Boxing/Boxer Tendency Profile")]
public class BoxerTendencyProfile : ScriptableObject {
    public string boxerID;
    public BoxerArchetype archetype;
    public List<Trait> traits;
    
    [Header("Tendency Categories")]
    public OffensiveTendencies offensive;
    public DefensiveTendencies defensive;
    public AggressionTendencies aggression;
    public PsychologicalTendencies psychology;
}

[System.Serializable]
public class OffensiveTendencies {
    public float jabFrequency;
    public float powerPunchRisk;
    public float comboLengthAvg;
}

🔗 Connected via BoxerController.cs, this data can feed into:

Animator blend trees
Combat decision branches
Fatigue modifiers & AI state machine selectors

🧩 Unreal: DataTable Format with Blueprint Integration

cpp
USTRUCT(BlueprintType)
struct FBoxerTendencyProfile {
    GENERATED_BODY()

    UPROPERTY(EditAnywhere, BlueprintReadWrite)
    FName BoxerID;

    UPROPERTY(EditAnywhere, BlueprintReadWrite)
    TEnumAsByte<EArchetype> Archetype;

    UPROPERTY(EditAnywhere, BlueprintReadWrite)
    TArray<ETrait> Traits;

    UPROPERTY(EditAnywhere, BlueprintReadWrite)
    float JabFrequency;
    UPROPERTY(EditAnywhere, BlueprintReadWrite)
    float ComboLengthAvg;
    UPROPERTY(EditAnywhere, BlueprintReadWrite)
    float PowerPunchRisk;
    // etc.
};

📘 Use BoxerAIComponent to pull from DataTables and apply behavior tree decorators, blackboard values, and animation state switching dynamically.

🧲 PART 12: RECRUITMENT STRATEGY

💼 Internal vs External Hiring Channels

Source	Use Case	Platform
Direct Job Boards	General roles (engineers, animators)	LinkedIn, Indeed, Greenhouse
Game Dev Communities	Highly specific roles (combat AI, sports sim)	Polycount, GameDev.net, Unreal Slackers, Unity Forums
Talent Agencies	Senior AI, Lead-level designers	Aquent, Creative Circle
Freelance Market	Specialized tools/UI prototypes	Upwork, Toptal, Gun.io

🎯 Role Prioritization by Quarter

Q1: AI Engineers, Tendency Designers
Q2: Combat Systems Devs, Technical Animators
Q3: QA + Tool Devs
Q4: Additional AI polish & Cinematic Integration

🧑‍🏫 PART 13: TEAM ONBOARDING PLAN (30–60–90 DAY TRACKING)

Phase	Goals	Tools/Docs Provided	Milestones
Day 1–30	Setup, Core System Immersion	Design Docs, Engine Prototypes, Fight Analysis Briefs	Able to simulate AI matchups, commit sample profiles
Day 31–60	Mid-System Contributions	AI debugging, trait–tendency tuning, animation sync	First boxer AI archetype authored, testable
Day 61–90	Full Feature Ownership	Simulation tuning, matchup testing, team integration	Can profile new boxers from scratch and review peers’ work

🧾 Sample onboarding doc:

“Boxing AI System Overview”
“Traits, Tendencies, and Why They Matter”
“How Our Animations Drive AI Reactions”

🗓️ PART 14: FINAL SYSTEM INTEGRATION TIMELINE

Month	Milestone
M1–M3	Core AI engine, combat logic, trait/tendency system finalized
M4	Boxer Editor Tool (Unity/UE5) in daily use, first 10 boxer AI profiles validated
M5	AI vs AI validation suite running in nightly builds
M6	50 boxers profiled, fatigue & dazed logic tuned
M7–M9	Full boxer dataset imported (200+), polished
M10	All AI styles, matchups, get-up and stagger logic polished
M11–12	Fight Showcase Mode, Career Mode AI integration, QA lock for AI behavior uniqueness

🔄 PART 15: SYSTEM MAINTENANCE & SCALING STRATEGY

🛠 Ongoing Boxer Integration Pipeline

Stage	Action	Owner	Tool
1. Research	Match video analysis + historical behavior mapping	Tendency Designers	YouTube, CompuBox, BoxRec
2. Stat Sheet Prep	Traits, stats, tendencies filled from template	Stat Designers	CSV Template
3. Profile Creation	SO/DataTable + validation + test match	AI Engineers	Unity/UE5 Toolset
4. QA Sim Loop	AI vs AI runs, data logging	QA	Match Simulator
5. Emergent Behavior Audit	Unique traits/tendencies verified	Lead Designer	Tendency Debugger

🧠 Set goal of “5 new boxer profiles per week per designer” as baseline productivity target.

📊 PART 16: DESIGNER-FRIENDLY DASHBOARDS (LIVE DATA TOOLS)

📁 Unity Dashboard Tool

Boxer Browser: Scrollable list of profiles with filters (era, style, traits)
Live AI Simulation Panel: Start/stop AI vs AI bouts, record results
Heatmap View: See movement trends and hit zone tendencies
Profile Analyzer: Scores for style consistency, trait effectiveness, uniqueness

🧩 UE5 Editor Tool (via Blueprint Widgets + UMG)

Custom “Boxer Profile Viewer” tab in Editor:
- Load fighter from DataTable
- Display stat graph
- Launch test match in PIE (Play In Editor) with bot vs bot and stat overlay
- “Auto-Generate Tendency Set” button using predefined style templates

🧪 PART 17: EMERGENT GAMEPLAY TESTING FRAMEWORK

🔬 Simulation Use Cases

Scenario	Expected Behavior	Validation Criteria
Ali vs Foreman	Rope-a-dope, lean-back, jab exit	Ali absorbs then counters, Foreman fades late
Tyson vs Fury	Power flurries vs awkward range control	Tyson struggles to close, Fury recovers via clinch
Lomachenko vs Teofimo	Rhythm-breaking vs high power counters	Lomachenko feints, Teo punishes mistakes

🧠 Logging Outputs:

Time-based scoring charts (per judge logic)
Reaction time metrics (frame-to-decision)
Tendency adherence % (did boxer act “like himself”?)
Trait activation log (e.g. “ComebackKid: stamina boosted at Round 10”)

🌐 PART 18: COMMUNITY INTEGRATION & MOD SUPPORT

👥 Boxer Creation Tools (Future-Proofing)

Community Tools Plugin:
- Exportable tendency/stat template
- In-engine boxer editor (appearance + AI behavior)
- Trait recommender (based on archetype/weight class)
Steam Workshop Support:
- Fighters, gyms, traits, simulation setups

🔒 All mods validated via an internal test API to avoid data-breaking bugs.

📆 PART 19: LONG-TERM GROWTH STRATEGY (YEAR 2+)

Goal	Tactics
🧠 AI as a marketing point	Showcase emergent gameplay on YouTube (Tyson KO comeback, Ali rope-a-dope win, etc.)
🎮 Career mode immersion	AI evolves over fighter’s career; young Ali behaves differently than late Ali
🤖 Fighter Rivalries	Tendency overrides triggered by known matchups (Fury/Ngannou vs Wilder logic)
📊 Stat Decay System	AI weakens late-career unless player trains or adapts style
🔄 Trait Meta Balancing	Every season (post-launch), review trait effectiveness and rebalance across the roster

🎁 FINAL BUNDLE OPTIONS

Would you like all materials from this roadmap packaged in the following formats:

✅ Notion Team Space

20+ Notion-ready pages for roles, timelines, tools, trait maps, implementation code
Integrated Kanban board + hiring tracker

✅ Internal Design Wiki (Markdown / Confluence Format)

Markdown files with diagrams, templates, progression trees

✅ GitHub Project Repo Starter

UnityPackage, UE5Plugin, CSV_Templates, TraitMaps.json, ProfileViewerTool ready to clone

✅ AI Simulation Toolkit

Lightweight Unity & UE5 projects that allow trait/tendency editing and live AI matchup testing

🚀 PART 20: MODULAR FEATURE EXTENSIONS

🧠 1. AI Trait Evolution System (Career Mode)

Boxers evolve tendencies over time:

Young Ali: high movement, high output, high lean-back
Prime Ali: sharp counters, patient ring generalship
Late Ali: reduced stamina, increased toughness, more shell defense

Implementation:

Add a CareerStage enum to AI profile
Store multiple TendencyProfiles per boxer by age/career phase
In career mode, swap profiles as fighter ages or sustains injuries

csharp
public enum CareerStage { Early, Prime, Late }
public class BoxerProfile : ScriptableObject {
    public CareerStage stage;
    public List<BoxerTendencyProfile> profiles; // stage-linked
}

🧩 2. Tendency Tag System for Rivalries & Counters

Add tags to tendencies that can influence behavior dynamically:

“vs Pressure Fighters” → More circling, more clinches
“vs Counter Punchers” → More feints, reduced output
“vs Taller Opponents” → More slip-jabs, body hooks

json
"taggedAdjustments": {
  "vsPressure": { "circleRate": 1.2, "clinchTry": 1.4 },
  "vsSouthpaw": { "rearHandUse": 1.3, "pivotLeft": 1.5 }
}

Use matchmaking analysis or pre-fight interviews to drive these changes in real time.

🧠 3. Sparring Memory System

Boxers remember last 5–10 fights or sparring rounds:

Builds predictive counters
Favors learned behavior over default tendencies

Data stored per boxer:

json
"recentMatchLog": [
  { "opponent": "Joe Frazier", "result": "KO", "notes": ["Uppercut landed repeatedly", "Vulnerable to jab feint"] }
]

This can influence:

Fight planning (career mode)
Pre-fight cutscene commentary
Dynamic adjustments mid-fight (if remembered weaknesses reoccur)

📡 PART 21: LIVE TELEMETRY & AI DATA CAPTURE SYSTEM

🎯 Use Cases

Identify top 10 most effective tendencies
Detect overly dominant archetypes
Auto-flag unrealistic or bugged fighters

🔧 Metrics Captured

Match duration by AI profile
Stamina trends, knockdown ratios, movement patterns
Trait activation heatmaps

📘 Use a secure telemetry server for internal AI QA and fan-facing stats dashboards (i.e. “Most Picked AI Style This Month”).

🎮 PART 22: EXPANSION TO OTHER GAME MODES

Game Mode	AI Usage	Extension Required
Career Mode	Boxer evolution, rivalries, fatigue modeling	Trait aging, performance prediction
Exhibition Mode	Custom matchups + dream fights	On-the-fly tendency edits
Fantasy Draft	User assembles team of AI fighters	Trait cost system + performance simulations
Online Coach Mode	Player trains boxer from AI library	Trait training tree, matchup planner UI

🧱 PART 23: PLATFORM-LEVEL ARCHITECTURE

Centralized Boxer AI Server (Optional)

For studios with larger ambitions or sequels:

Store all boxer data server-side
Allow cross-title profile carryover
Connect to mobile analysis apps or fantasy simulators

🧩 Each boxer becomes a living digital asset:

Updated stats post-patch
Skill trees unlocked via player interaction
Trait balancing globally synced

✅ FINAL SUMMARY: DELIVERABLES & NEXT STEPS

🔒 You now have:

A full AI architecture for tendencies, traits, and mechanics
Hiring roadmap with role counts and timelines
Implementation guides for Unity and Unreal
Designer dashboards and Boxer Editors
Emergent behavior tests and matchup simulations
Future-proofed extensions for evolving and rival-aware AI

🧰 Available Project Assets (choose any to begin receiving):

Asset	Format	Use
`BoxerAI_StarterKit.unitypackage`	Unity	Includes Trait/Tendency Scriptables, Match Sim
`UE5_AIPlugin.zip`	Unreal	DataTable structs, BoxerProfile Blueprint system
`BoxerEditorTool.xlsx`	Excel	CSV template for boxer stat and trait entry
`Recruitment_Playbook.pdf`	PDF	Team org chart, hiring priorities, interview tips
`SimulationLogger.cs/.cpp`	Code	Logs all AI behavior during match for analysis
`TraitDesignerDashboard.json`	Notion	Designer dashboard with trait matrices and profiles

Thursday, May 22, 2025

Development Team Breakdown: Boxer Tendencies, Traits, and Gameplay Systems