A live AI Creative Shootout — synthetic focus groups debate your fundraising copy in real time.
Three Models Enter, One Message Wins: A Live AI Creative Shootout
What happens when you pit three frontier LLMs against each other in a structured adversarial review of persuasive copy — and stream the entire debate to a live audience?
In this session, I'll run a live Synthetic Focus Group on stage using a multi-model orchestration architecture built on streaming SSE. Three AI models (Claude, GPT-4o, Gemini) each embody a distinct audience archetype — the Patriot, the Skeptic, and the Urgency Donor — and engage in structured adversarial prompting to critique real copy in real time. You'll watch them argue, nitpick, and champion different messages while the audience votes on who's winning.
While the demo uses political fundraising, the methodology generalizes to any persuasive copy: SaaS landing pages, ad creative, investor pitch decks, nonprofit appeals — anywhere you need to stress-test messaging before it ships.
But it gets wilder. With one click, the debate transforms into a FLUX-generated comic strip — a visual takeaway you can screenshot and share with your creative team Monday morning.
We'll share results from production workflows processing 200+ campaigns, where synthetic panels predicted real-world performance with surprising accuracy.
You'll learn:
No slides-only theory. No vaporware. Just a working prototype, live archetypes, and a production-tested methodology for AI-assisted creative development.
Justin Hart is a political strategist, data architect, and AI practitioner who has spent 20+ years at the intersection of persuasion and technology. As author of the bestselling book Gone Viral and a veteran of multiple presidential campaigns, he understands what makes people act — and how to test that at scale.
Justin currently runs AI-augmented fundraising and analytics systems for political organizations, using multi-model architectures to generate, test, and optimize donor communications. He builds with Claude, GPT, Gemini, FLUX, and whatever ships next Tuesday.
He lives in San Diego with his family and an unreasonable number of API keys.
Three-column split-screen. Each column streams from a different model via server-sent events. Each persona has a system prompt defining their donor archetype, communication style, and evaluation criteria.
User pastes fundraising copy → all three models respond simultaneously with emoji-heavy critique → audience sees which archetype loves/hates the copy in real time.
Takes the best exchange from Mode A and converts it into a structured prompt for FLUX (via Replicate or fal.ai). Output: a 3–4 panel comic strip with each donor archetype as a character reacting to the copy.
// Simplified state machine
type Mode = 'chat' | 'comic';
const [mode, setMode] = useState<Mode>('chat');
const [chatHistory, setChatHistory] = useState<Exchange[]>([]);
// Mode A: stream 3 models concurrently
async function runChatBattle(copy: string) {
const streams = await Promise.all([
streamClaude(PATRIOT_PROMPT, copy),
streamGPT(SKEPTIC_PROMPT, copy),
streamGemini(URGENCY_PROMPT, copy),
]);
// Render each stream into its column
}
// Mode B: generate comic from best exchange
async function generateComic() {
const bestExchange = selectBestExchange(chatHistory);
const comicPrompt = buildComicPrompt(bestExchange);
const image = await generateFLUX(comicPrompt);
// Display comic panel
}
Anecdote: You wrote the perfect fundraising letter. Your boss loves it. The donor hates it. What if you could have known?
Introduce the concept: AI personas with defined psychographics debating your copy. Not a chatbot — a structured adversarial review.
Reveal the three archetypes: Patriot 🇺🇸 · Skeptic 🔍 · Urgency ⏰
Paste real fundraising copy. Three columns light up. Models stream simultaneously — arguing, praising, tearing apart the copy with emoji and personality.
Hit the mode switch. Best exchange transforms into a FLUX-generated comic strip. Three characters, speech bubbles, neon style.
Quick architecture walkthrough: Next.js, streaming APIs, FLUX, the 200 lines of code that make it work. Open source link.
Recap the winning message from the demo. Challenge: "Run this on your own copy this week." Drop the repo link. Q&A teaser.