PEBI.AI — Persistent Edge-Built Intelligence

1st Place — SCSP AI+ Expo Hackathon.

Applied intelligence engineering. Multi-agent AI systems, real-time decision platforms, and rapid prototypes — built at the speed of decision.

100+ working prototypes built with frontier AI tools
48h — concept to 1st place, SCSP AI+ Expo
4 coordinated AI agents in SentinelAI
18+ years technology & commercial strategy

Operator profile

Michael Ditter is an AI executive and applied AI practitioner building multi-agent systems at the edge of possibility.

Currently Head of AI Strategy & Emerging Technologies, owning AI marketing and commercial strategy across a $10B+ portfolio. Built the Advanced Analytics team in 2018 — ML models still in production 8 years later. Trained 375+ practitioners. Deployed AI platforms achieving 80–90% active usage.

Before: 4 years at Accenture Strategy (commercial transformation, CPG). 5 years at McKesson (large-scale EHR modernization). Cornell MBA (Johnson).

ANA AI Co-Council Chair (1,000+ members). Multi-time founder — PEBI.AI and Azure Bev Co (Partáy, agave RTD, scaled to 40+ states).

PEBI.AI serves as the central repository for 100+ working prototypes exploring the intersection of autonomous agents, open-source intelligence, cognitive warfare, and real-time decision platforms.

1st Place Overall, 2025 SCSP AI+ Expo Hackathon — SentinelAI, a multi-agent crisis response system built from scratch in 48 hours. 300+ participants, 44 teams. Open-sourced on GitHub.

Capability pillars

01 — AI for Decision Advantage

Real-time platforms synthesizing massive data streams into actionable intelligence for rapid response: SentinelAI (1st Place SCSP), SentinelClimate / ClimateGuardian.

02 — Open Source Intelligence

Automated pipelines for massive-scale data harvesting, correlation, and deep research synthesis: SignalMine, deep-research synthesis, multi-source API ingestion pipelines.

03 — Strategic Influence Architecture

Synthetic narrative generation, synthetic media production, and counter-disinformation analysis: AI filmmaking pipeline (VEO3 + Claude), Space Gentrification documentary (48hr build), ElevenLabs voice synthesis pipeline.

04 — Techno-Economic Intelligence

Applying machine learning to territory optimization, financial modeling, and commercial strategy: AI sales operations platform (XGBoost + LSTM), SalesIntelligence (30–45% CAC reduction), first analytics division in the spirits industry (Diageo — 50bps growth).

Featured deployments

SentinelAI — 1st Place, SCSP AI+ Expo Hackathon 2025

Multi-agent crisis response system for climate-driven health emergencies. Four coordinated AI agents processing National Weather Service data, ERCOT power grid capacity, CMS hospital systems, and county emergency declarations in real time. Built in 48 hours with Maksim Spivak. Stack: Claude, multi-agent coordination, React, TypeScript, Twilio, ElevenLabs, WebSockets. Live app.

The Great Space Gentrification

Full satirical documentary in 12 hours using VEO3, Claude, ChatGPT, ElevenLabs, Kling AI, and Final Cut Pro.

VEO3 Playbook: AI Filmmaking Methodology

Comprehensive technical guide to crafting AI-generated video content using Google's VEO3 and Flow — michaelditter.com.

Sales Operations Platform

Territory optimization (XGBoost), customer segmentation, pipeline analytics with 85% deal prediction accuracy. Est. 30–45% CAC reduction.

PEBI.AI v1 — Apple Vision Pro

The beverage industry's first spatial computing experience on Apple Vision Pro, for SoNo 1420. First whiskey brand with an immersive 3D spatial experience.

THE UPLOAD

Interactive digital storytelling platform with custom audio player, visual spectrum animations, progressive chapter unlocking.

The Case of the Missing Tooth

Published book tracing family history using AI deep research. OpenAI found ship manifests and census records; Claude wrote; an operator automated the publishing pipeline.

Gunner Roofing AI Platform

AI education platform with interactive ChatGPT demos, visual roof-inspection AI with damage detection, and an AI app builder.

MCP Server

Custom Model Context Protocol server for AI agent infrastructure — multi-agent coordination and tool orchestration.

Technology vector

AI models: Claude (Anthropic), GPT-4o / ChatGPT (OpenAI), Gemini (Google), deep research across all three.

AI infrastructure: multi-agent coordination, custom MCP servers, Twilio voice/SMS, ElevenLabs voice synthesis, WebSocket real-time pipelines.

Development: Claude Code / Cursor, 100+ shipped projects, React / TypeScript, Python / PostgreSQL, XGBoost / LSTM.

AI content: VEO3 (Google), Sora (OpenAI), Kling AI, Final Cut Pro, Mureka (music generation).