Marketing Against the Grain · Hubspot Media

Can AI Actually Make Good Ads? Replit Ad Maker Review

April 2, 2026·23 min·2 clips

Replit just released a new ad creation feature, and I'm testing it live to show you my secret Claude step to save time and money.

The cold open is direct. The host says ad building matters, then treats Replit 4's ad creation feature like a live test instead of a victory lap. Claude gets the first turn. The host's trick is to shape the prompt before spending time and money on AI ad generation, because prompt work is still the cheaper place to make mistakes. Once that prompt is ready, Replit takes over. He pastes in the Claude-built version, chooses the ad creation skill, and gives the tool more context to work with. When Replit switches into economy mode, it lands as a useful little warning: creative generation can get expensive fast. The episode keeps the tool definition simple. Replit is a vibe-coding tool that turns natural-language instructions into code or outputs like research, websites, and, here, ads. The more interesting bit is design. Canvas gives Replit 4 a visual editing layer next to the usual language-based flow, so users can ask for an outcome in plain language, then move, manage, and touch up the result on screen. The critique stays grounded. Some outputs may be good enough to finish in Canva or another design tool rather than rerun the AI forever. The workflow lesson is the keeper: tighten the prompt first, give Replit clearer context, then spend the heavier creative iterations only where they help.

As heard by us

A practical Replit 4 ad-making test with a sharp focus on prompt discipline and creative iteration costs.

Ad creation gets framed as a margin problem as much as a creative one. The host tests Replit 4's new ad creation feature by doing the cheap thinking first: refine the prompt in Claude, bring that prompt into Replit, select its ad creation skill, and then use Replit's…

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Why you'd press play

Replit 4 gets put through a real ad-creation stress test.

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