Insights
Field notes on producing on-brand creative at scale, stock-aware dynamic advertising, and the personalization layer that makes every customer feel seen.
Software engineering got software factories: staged agents, deterministic gates, a human at the merge. Our CTO on building the same machine for marketing creative — where the loop, not any single render, is the product.
Read article →Traditional DCO optimizes the ads you already made. An AI-native creative operating system runs the whole loop — listen, analyze, create, launch, learn — and every campaign makes the next one smarter. Why CMOs should stop shopping for 'better DCO.'
Read article →Dynamic creative optimization, rebuilt AI-first. AI-native DCO sits between rules-based legacy DCO (manual, static) and generic GenAI (fast but off-brand) — learning, stock-aware, personalized, on-brand, and proven.
Read article →Both are called 'DCO,' but they're not the same thing. Legacy DCO assembles creative from rules a human writes; AI-native DCO runs a model that learns and decides on its own — and it shows up in your CPA.
Read article →If a creative vendor won't agree to a holdout, that tells you something. Here's how to run a controlled 50/50 test, what to measure, and why AI-native DCO is built to be proven — not just demoed.
Read article →Stores × promotions × price points × products × formats = thousands of variations no team can make by hand. AI-native DCO produces them automatically — on-brand, stock-aware, and personalized to every shopper and store.
Read article →Agencies grow creative volume by adding people — which crushes margin. AI-native DCO breaks that link, and turns every campaign into structured design data you own. It's not just a production tool; it's a business-model upgrade.
Read article →From Buenos Aires to Coca-Cola, Mercado Libre, and founding in AI — the journey of Continuum founder Michelle Shocron, the entrepreneur known in the startup world as 'the AI girl.'
Read article →The internet learned who you are. The physical world forgot. A manifesto on personalizing the last layer of marketing that never got personalized — the creative itself.
Read article →Just 2% of global VC goes to women-led startups. Continuum founder Michelle Shocron on making the leap into AI — and the three things she tells women who want to build in tech.
Read article →She scaled a credit business to 250 million lines, then left to build AI for marketing. Continuum founder Michelle Shocron on data, microsegmentation, and redefining the future of business with AI.
Read article →A large share of e-commerce ad budget is spent promoting products that are sold out or irrelevant. Stock-aware dynamic creative connects ads to your live feed — and proves the lift with a holdout.
Read article →AI only pays off when it solves a real bottleneck. Continuum founder Michelle Shocron lays out a practical six-step framework for adopting AI without falling for the 'magic wand' trap.
Read article →Retail creative doesn't scale linearly — it multiplies. Here's the modular, data-driven approach that turns one approved template into hundreds of on-brand, store-specific promo creatives.
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