✦ Vanderbilt AI Practicum · Spring 2026

Your Personal AI Advisor

Every student in this class gets their own AI bot — named after you, tuned to your venture, and ready to help you build.

1

Log in with your assigned username & password

2

Take a 5-question quiz — your bot gets its personality

3

Start talking. Your bot knows the course, your team, and your goals.

🤖

Meet your bot

Your IAM Bot is your personal AI advisor for this practicum. It knows the curriculum, your venture context, and is here to push your thinking — not just answer questions.

📱

Four things you can do

💬 Chat Ask your bot anything about your venture, the course, or AI strategy.

🗺️ Journey See your Kirk Steps — how deep your thinking is getting.

🔮 Graph Watch your ideas build into a live knowledge graph.

🔧 Explore Access every AI tool from the practicum in one place.

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The more you share, the smarter it gets

Tell your bot about your team, your idea, and your target customer. It saves everything to your personal knowledge graph — so it remembers context across sessions and gets more useful over time.

IAM Bot Classroom

Kirk 0/12 ⓘ

Trinity Graph

🔴 Social — WHO

🔵 Knowledge — WHAT

🟢 Generative — WHAT IF

♦ Germline

⬡ Structural

◉ Sensor

tap a node → ask

🧠 Your IAM Tools

Your 511-node knowledge graph live

IAM Architecture

How the 3-layer system works

Social graph algorithms + TikTok Spiral

Awareness Engine

Creative blueprint pipeline

Animated intro to the system

IAM on WhatsApp

Get your bot on your phone · tap to open chat

🎓 Course Materials

Unified Vanderbilt landing page

AI Fundamentals

8-section reference: history, ethics, legal

Session 1 onboarding portal

Full Course Portal

Vibe Coder + all integrated tools

🏗 Enginuity — Built World

AI construction bidding intelligence

TPA Scenario Tool

Airport master planning · AI modules

Van Nuys RFP · constraint modeling

Spatial planning + FAA constraints

🎨 Artiquity — Creative IP

Generative art knowledge graph

Pattern + tech pack generator

Wildling Beauty

IAM brand analysis case study

⭐ J.Lo × Artiquity — Case Study

Artiquity Case Study

Chain of title · Coalition · Reputation reset strategy

8 eras · fan stories · content engine · DEMO_GALLERY

Knowledge Graph

D3 force graph · 7 node types · 53 nodes · 85 edges

Benny Medina Pitch

Two-pillar deck · Coalition + Connections

Career Infographic

30-year arc · cultural impact · IP timeline

📖 Storytelling

Clarksdale Series

15-ep Delta blues Omega Protocol arc

Delta Learning Agent

Mississippi Knowledge Graph AI

Ontological Theatre

8 eras × 8 lineages world-building

🌍 Real World Applications

IAM Bidding System

AI construction bidding 7-module tool

Recording Academy

AI artist rights + Reciprocity framework

Document intelligence platform

🗺️ Learning Journey

Professor Dashboard

§23 Cache Health: —

Target ≥80% — alerts if below threshold (per §23.1)

Collective Noosphere

SAVESUCCESS Radar

🧠 CCPM Learnings — Seeded to Knowledge Graph

Sessions 1 & 2 — nodes now live in Buddy's Trinity Graph (Kirk Step 2, juvenile lifecycle)

Session 1 · Critical Chain

CCPM Foundations

Buffer Pooling · Student Syndrome · Parkinson's Law · Critical Chain vs. Critical Path. Core insight: remove safety padding from tasks — pool it into project + feeding buffers.

Certainty Sagacity Clarity

Session 2 · Portfolio

Oliver as the Drum

Oliver = the most constrained shared resource across 8 simultaneous chains. 4 dependency types. IAM→Vanderbilt feeding buffer = 4 days. HIGH RISK. Risk note filed 2026-03-01.

Vitality Necessity Reciprocity

Key Concept · GERMLINE

4 Dependency Types

Technical · Schedule · Resource · Informational (most dangerous — waiting for knowledge is invisible and kills feeding buffers silently).

Connectivity Clarity

⚠️ Active Risk: IAM MCP deploy (Mar 5) → Vanderbilt open (Mar 9) = 4-day feeding buffer. Student Syndrome + Parkinson's Law make this thinner than it looks. View risk note →

🏗 Enginuity Scenario Builder

AI-powered constraint modeling for complex built environments — now seeded to the knowledge graph

✈ TPA Master Plan

Tampa Airport RFQ — due Apr 1, 2026

🛩 VNY Hart Street

LAWA RFP — 16425 Hart St Van Nuys

Spatial constraint + GIS modeling

✦ Knowledge Graph

Full viewer — all 5 graphs

5 modules: Demand Oracle (probabilistic forecasting) · Meridian (schedule simulation) · Chorus (stakeholder alignment) · Atlas (spatial + GIS) · Oracle (risk scoring). Constraint Modeling node is now STRUCTURAL in Buddy's graph — bridges CCPM portfolio planning and Enginuity built-environment modeling.