Multi-Agent Intelligence Architecture

Two AIs.
One verified
answer.

Built by Philip Warbasse, Warbasse Design

Ping-Pong AI™ is a multi-agent workflow methodology where one AI builds, a second AI checks — eliminating hallucination, completing tasks end-to-end, and delivering verified intelligence directly to your inbox, on screen, or collaboration tools.

Build My Ping-Pong See How It Works
Ping-Pong AI — Live Pipeline
01
Intent Signal Received
Physical tap or trigger authorizes the pipeline
Trigger
02
Live Intelligence Gathered
Real-time data sourced and grounded before processing
Search
03
The Builder Creates
First agent synthesizes, structures, and drafts the output
Builder
04
The Checker Challenges
Second agent fact-checks every claim against source data
Checker
05
Verified Delivery
Output delivered to inbox, on screen, or team tools
Done

Ping-Pong AI Verified — All checks passed

The Concept

One model builds.
One model checks.

Most AI pipelines rely on a single model. It generates an answer, and that answer ships — complete with whatever it got wrong, confidently stated. Every model has blind spots. Ping-Pong AI™ closes them.

By routing output from a Builder model through a separate Checker model — one that has access to the same raw source data — Ping-Pong's create cross-verified intelligence no single model can produce alone. The result is an output you can act on, not one you have to check yourself.

First Agent
The Ping

The Builder. Receives the trigger, queries live search data, synthesizes across multiple sources, and drafts a complete structured output.

  • Receives trigger and authorizes the pipeline
  • Queries live web data in real time
  • Synthesizes sources into a structured first draft
  • Fast, comprehensive, generative pass
passes to checker
Second Agent
The Pong

The Checker. Reviews the Builder's output against original source data, challenges every factual claim, corrects inconsistencies.

  • Cross-references every claim against source data
  • Flags errors, corrections, and inconsistencies
  • Refines and formats the final output
  • Precise, adversarial verification pass
produces
Verified Delivery
A completed task — not a draft, not a summary. Done. Delivered to your inbox, on screen, via SMS, Slack, or your preferred channel.
Where AI Deployments Fail

AI that drafts is a tool.
AI that does is a transformation.
The difference isn't the model — it's the architecture.

Problem 01
The Tourism Loop
Most AI interactions remain transient "visits" to a browser tab, creating a psychological distance that lacks the tactile friction necessary to transform a fleeting digital session into a lasting behavioral commitment.

Solution:
By anchoring the interface in a physical Tap Token, you move the interaction from a distant screen into the palm of your hand, replacing vague software intent with a tangible, hardware-driven commitment that grounds your workflow in reality.
Problem 02
High-Speed Hallucinations
Reasoning without a "source of truth" is dangerous; it allows powerful agents to make unverified, bad decisions at a massive scale.

Solution:
The Governance Skin. The Ping-Pong AI builder/checker workflow acts as a mandatory safety net, verifying every autonomous action against grounded data before execution to end agent hallucinations
Problem 03
The Missing Middle
The industry over-indexes on the Model (the brain) while ignoring Orchestration (the nervous system) and Governance (the skin).

Solution:
Unified Architecture. I build all three layers simultaneously, transforming a standalone "checker" into a bulletproof, three-part system that stabilizes the entire AI workflow.
"
Most AI tools address the capability problem — what the model can do. Ping-Pong AI addresses the cognitive architecture problem — what the human should never have to carry again.
— Philip Warbasse
The Process

From tap
to delivery.

Every Ping-Pong AI™ workflow follows the same five-step architecture — triggered intentionally or on schedule, grounded in live data, verified by a second model, and delivered complete. Not every Ping-Pong has to be triggered intentionally — if you want an automated routine, I can build that too.

01
Trigger
An NFC tap token or card, webhook, schedule, or button press initiates the pipeline. Human intent — or automation — authorizes the workflow.
02
Search
Live web search grounds every output in real-time data. No stale knowledge. No fabricated sources.
03
Build
The Builder agent synthesizes the data and drafts a complete, formatted, structured response — fast and comprehensive.
04
Check
The Checker agent reviews every claim against source data, flags errors, and corrects the output — precise and adversarial.
05
Deliver
The verified output arrives — in your inbox, on screen, via SMS, Slack, or your preferred delivery channel. Formatted and ready to act on.
The Framework

What does a
Ping-Pong AI™ do?

Every Ping-Pong AI™ is a real, buildable workflow — not a concept. A pipeline that researches, verifies, and delivers. You tell me the outcome you want. I build the architecture to get it to you, cross-checked and complete, through whatever channel you prefer.

"
The first draft is never the answer. The answer is what survives the challenge.
— Philip Warbasse
The Ping-Pong AI Promise

Every output is challenged by a second AI before it reaches you. The Builder creates. The Checker challenges. You receive only what survives both.

This is not a chatbot. Not a summarizer. This is a verified intelligence system — built around your specific goal, fired by your physical intention or your schedule, and delivered complete through your preferred channel.

Extended Format
What's a Rally?

A Rally is not simply a longer Ping-Pong — it's defined by three or more agents working the pipeline. When a third agent enters the exchange, the architecture fundamentally changes: you have multiple perspectives, layered verification, and higher-confidence output. Same foundation, deeper collaboration.

Ping-Pong
2 agents — 1 Builder pass + 1 Checker pass
escalates to
Rally
3+ agents — deeper verification, higher confidence
Real Business Impact

Workflows,
ready to build.

Every one of these is a real, buildable workflow — not a concept. A pipeline. You tell me the outcome you want. I build the architecture to deliver it, verified, through your preferred channel — inbox, on screen, SMS, Slack, or team tools.

Restaurant
Google Review Responder
Every new review triggers the workflow. One model drafts a brand-consistent response. A second model checks tone, grammar, and accuracy. Ready to post — or auto-published.
Real Estate
Neighborhood Intel Scout
Tap at a listing. Live market data, recent comps, school ratings, and a verified talking-points brief for your client meeting hit your phone in under two minutes.
Financial Services
Pre-Call Client Briefing
Before every client call, tap your desk token. A cross-verified briefing on portfolio context, relevant market news, and suggested talking points is waiting for you.
Sales & Business Development
Opportunity Scout
Tap the token. Within seconds a verified lead intelligence report on new businesses in your target territory hits your inbox — sourced from live data, cross-checked by a second agent, and ready to act on before your morning coffee.
Retail / E-Commerce
Competitor Intelligence Monitor
A verified pricing and promo intelligence report on your top competitors — triggered on your schedule or by tap — cross-checked against live data before delivery.
Film & TV Production
Hollywood Production Intelligence
Tap to trigger a verified brief: current casting news, director attachments, distributor landscapes, and competitive release windows — cross-checked and in your hands before the pitch meeting.
Defense & R&D
Decision Intelligence Brief
For defense contractors and R&D teams where decisions carry real consequences, a Ping-Pong AI™ pipeline gathers verified intelligence from approved sources, cross-checks every data point through a second agent, and delivers a structured decision-support brief — grounded, confirmed, and audit-ready. No single-model risk. No unverified claims reaching the table.
Live in the Wild

The Opportunity Scout
in action.

The Opportunity Scout is Ping-Pong AI's™ first deployed workflow. A physical tap of the token triggers the pipeline. Within seconds, it's scanning for new business leads, building a verified intelligence brief, and delivering it to your screen or inbox — without touching a keyboard.

This is what Intentional Ambient Intelligence looks like in production — not a system running in the background without your knowledge, but one that's ready and waiting until you choose to fire it. Tap. Done.

AI on the Lot — Hollywood Production Intelligence
From the Blog
AI on the Lot:
Six workflows to rewire Hollywood.

Development. Production. Distribution. The entertainment industry runs on decisions made under pressure with incomplete information. These six Ping-Pong AI™ workflows were built specifically for the lot — from script coverage to opening weekend intelligence. Read how verified AI architecture can improve the way the industry actually works.

Read the Article →
Pricing

Your Ping-Pong AI™,
your way.

Every workflow is custom-built for your specific use case. I scope the architecture around your goal, integrate your tools, and hand you a system that works.

Entry
Ping-Pong
One Builder, one Checker. One task, done right. The essential verified workflow for a single use case.
Starting at $2,500
One-time build + API and Platform costs
  • Custom workflow scoped to your goal
  • Dual-agent cross-verification — Builder + Checker
  • Live web search integration
  • Delivery to inbox, on screen, SMS, or Slack
  • One Ping-Pong AI NFC token in presentation box
  • Full documentation and handoff
Lost your token? Every build includes a digital safety kit — a backup activation file and instructions to order a replacement token so your workflow never goes dark.

Request a Build
Extended
Rally
Multi-pass verification for complex tasks that demand deeper research, broader sources, and higher confidence in the output.
Starting at $5,000
One-time build + API and Platform costs
  • Everything in Ping-Pong, plus:
  • Multi-pass Builder / Checker exchange
  • 3+ agent orchestration — the defining difference
  • Conditional logic and workflow branching
  • Human-in-the-loop approval option
  • Delivery stats with each report
  • Up to ten Ping-Pong AI NFC tap tokens in individual presentation box
Team delivery? Built for teams. Every Rally includes up to 10 NFC tokens to get your whole crew tapping. Additional tokens ship at a 20% discount — same presentation box, same digital safety kit.

Request a Build
Enterprise
Custom Build
Full-scope architecture for teams — integrating your stack, your data sources, and your existing workflow environment.
Scoped by engagement Let's talk
Strategy, build, and optional ongoing support
  • Discovery and workflow strategy session
  • Full multi-agent pipeline architecture
  • CRM, Slack, or internal tool integration
  • Reporting interface or dashboard
  • Team training and documentation
  • Ongoing support retainer available
Start a Conversation
Not sure which tier fits? Fill out the intake form. Once I understand what you need on the front end, I can tell you exactly what needs to happen on the back end — and what it will cost. No guesswork. No surprises.
Take the Intake
Ambient Intelligence

Technology
as furniture.

The best technology disappears. A light switch doesn't announce itself — it's part of the wall, waiting for your intention. Tap technology — whether an NFC card, a desk token, or a countertop tag — is the physical remote control for your company's intelligence layer.

Ping-Pong AI™ represents a specific and deliberate evolution of that idea — Intentional Ambient Intelligence. The pipeline fires only when you decide. Not in the background. Not because an algorithm thought it was time. The intelligence is ambient in its presence — always ready, never intrusive — and activated entirely by your choice.

That said — tap technology is not the only path. Ping-Pong AI™ workflows can be triggered by webhooks, schedules, form submissions, or any digital signal you prefer. The architecture is the same. The tap just makes it extraordinary.

Cards, Tokens, Tags — Your Choice
ICTUS TAG tap technology works in any form: a premium desk token, a business card, a countertop tag, a wristband, a framed display. The NFC chip is invisible. The experience is anything you design it to be.
Tap Is the Ideal Trigger — Not the Only One
Every Ping-Pong AI™ workflow can be fired by a tap, a webhook, a schedule, a form submission, or a button. The architecture is identical. The tap simply makes it physical, intentional, and unforgettable.
Four Principles of Ambient Intelligence

Ping-Pong AI™ isn't only a workflow — it's a philosophy about how intelligent systems should behave in the physical world. The ambient systems of the past were designed to sense, predict, and act on your behalf — whether you asked or not. Ping-Pong AI™ is different. Quietly present. Activated by intention. Only when asked.

Intentionality
The tap is a conscious decision. Intelligence you request outperforms intelligence that simply arrives on schedule.
Physical Logic Gates
NFC tokens act as human-in-the-loop authorization for sensitive AI operations. No tap, no fire.
Real-World Context
Physical triggers link AI agents to actual events — your store, your team, your moment in time.
The Hollywood Ritual
Ceremony creates confidence. The tap is memorable. It's a premium experience automation alone cannot replicate.
Ping-Pong AI Tap Token

What's in
a tap?

Tap Technology — physical NFC tokens and cards — is the centerpiece of Intentional Ambient Intelligence. When you tap a Ping-Pong AI™ token to your phone, you're doing more than triggering a workflow. You're creating a physical, deliberate moment that binds the human to the machine. It converts AI from a passive cloud service into something you hold in your hand.

A tap is irreversible — you meant to do it. Most ambient systems act on you quietly, in the background, without asking. This one waits. It moves only when you decide to move it.

NFC-triggered workflow · ICTUS TAG™
Get Started

Let's build
your Ping-Pong AI™.

Tell me what you need on the front end — what task, what outcome, how you want it delivered. Once I know that, I'll scope exactly what needs to happen on the back end and send you a build proposal within 48 hours.

— 48-hour response, every intake
— No commitment until you approve the scope
— Every build includes full documentation
— You own everything I build for you

What you'll need: A rough sense of the task you want completed, the method or form of delivery, and an open mind about what's possible. I'll provide the architecture and determine the API keys needed — that's my job.

Ping-Pong AI™ Intake
You provide the spark of imagination, I'll give you exactly what you had in mind.
A Warbasse Design Concept

Built by a Hollywood designer who thinks in systems.

Philip Warbasse, founder of Warbasse Design, spent 25 years bridging physical and digital worlds for the biggest names in entertainment — HBO, Disney, Marvel, Sony, and many more. He pioneered the first designer QR code on national television in 2010 during HBO's True Blood campaign. His work has been covered by The New York Times, Entrepreneur Magazine, NPR's Marketplace, and KTLA — each time for seeing something the industry hadn't named yet. Today, he maintains an eclectic client roster spanning the full distance between Hollywood and the defense sector — as comfortable in a studio pitch meeting as he is in a room where the decisions have consequences.

Ping-Pong AI™ is the next evolution of that same instinct: make the technology disappear, make the experience intentional, and make the output worth something. Different isn't better than better.

HBO Disney Marvel Sony New York Times Entrepreneur Magazine NPR Warbasse Design ICTUS TAG 25+ yrs
Philip Warbasse — Warbasse Design
25+
Years building campaigns that bridge physical and digital experience
2
Models minimum in every Ping-Pong — no single-model risk, ever
0
Unverified outputs leave the pipeline — every delivery is cross-checked
∞
Use cases — if it can be researched, verified, and delivered, a Ping-Pong can do it