AdChef®

AdChef® is an AI advertising studio that turns a website, brief, or idea into professional, brand-ready ads in minutes. From a single platform, users create AI video ads, UGC videos, product ads, static creatives, carousels, and animated HTML5 rich media. Logos, colors, and creative assets are kept together in one workspace so that every output stays on brand. The product is built for marketers, agencies, creators, and businesses that want to produce more ad creatives with less effort, and it positions itself simply as every AI tool for ads, in one studio. The site frames AdChef around removing the usual blockers to getting an ad made. In its own FAQ it answers three practical objections: you do not need a polished brief or marketing jargon to start, you can use the product without a designer, and you do not have to build a full campaign to make a single ad — you can choose the format that suits your next promotion. AdChef also emphasises keeping momentum while an idea is fresh: try a new angle, change the look, and make another version. Instead of a long production cycle, the studio is designed for rapid iteration on creative direction, with each version waiting for the user's approval before it goes further. The core of the studio is four ways to create: image ads, video ads, carousels, and HTML5 rich media. All four sit in one place, which means a single idea can be expressed as a still, a clip, a swipeable carousel, or an interactive rich media unit without leaving the workspace. Formats are made for the channels ads actually run on — social, display, and more — from the same studio. AdChef also separates the kinds of work it can produce: brand films, described as cinematic spots planned and cut shot by shot by agents; product films, built from packshots, textures, and close-ups that sell the product; and creator videos, creator-style testimonials and hauls made for paid social at 9:16. Personalization is handled at the set level rather than one ad at a time. A user connects a sheet of products, locations, or audiences, and AdChef turns one concept into a matched set of ads — a version for every row and every placement, still on brand. Copy, product, and offer can be personalized per row; every size is generated together; and the whole set can be reviewed before it ships. The site's example shows a fictional brand, Driftwell, with rows for runners, parents, and students, each carrying a different product and offer, rendered across 9:16, 1:1, and 300×250 placements from the same underlying idea. Behind the creative is a model garden that brings image, video, voice, and music models into one kitchen. On the video side the studio lists Veo 3.1 from Google, Seedance 2.5 from ByteDance, Kling 3.0 from Kuaishou, Runway Gen-4.5, Hailuo 2.3 from MiniMax, Wan 3.0 from Alibaba, LTX 2.3 from Lightricks, and Imagine Video 1.5 from xAI. Image models include Nano Banana 2 and Imagen 4 from Google, GPT Image 2.5 from OpenAI, Seedream 5 from ByteDance, FLUX 3 from Black Forest Labs, Ideogram 3.0, and Recraft V4.1. For voice and music, Eleven Voice and Eleven Music from ElevenLabs are available. Several models carry an agents' pick label, and users can either choose a model directly for control or let AdChef's agents select the right one for each placement. Creatives come out as layered, editable ads rather than flat exports. Users can tweak copy or swap a product without regenerating the whole piece, working directly on elements such as headline text, a shop-now button, the product image, and the background fill. Brand consistency is handled through brand knowledge that sticks: users bring logos, colors, and approved claims, and every agent reads the guidelines before it writes a word. The site illustrates this with retrieved brand guidelines for 2026, an approved claim such as zero sugar, and flavor datasheets, all available to the agents as they generate copy. Beyond single ads, AdChef supports campaigns planned end to end — strategy, audiences, hooks, and a slot for every placement across a flight, illustrated on the site as a two-week schedule carrying both image ads and video ads. The working method is deliberately simple: bring an idea, a product, an offer, or even a hunch, and your logos, colors, and approved claims come along automatically; then either pick a model from the garden or let the agents pick the one that suits each placement; then review every version, download, or request another version while the idea is still fresh. A brand kit is applied throughout, carrying your logo, brand colors, and headline type. The agents' choices are visible in the workflow — for example, selecting Veo 3 plus Seedance 2.5 with Eleven Voice for a given job. The stated outcome is straightforward: produce more ad creatives with less effort. Users do not have to write a polished brief, and they do not need a designer — they can review the result and adjust it before downloading, or bring their own photos and creative direction. Because every size is generated together and every version waits for approval, teams see the whole set before anything ships. Iteration is treated as the normal mode of working rather than an exception, so a new angle or a changed look is a small step rather than a new production cycle. Brand compliance is supported by brand kits and by agents that read guidelines and approved claims before generating copy. Concrete workflows described on the site include creator-style UGC for paid social, shown as 9:16 testimonials and hauls produced through a UGC pipeline; brand films at 16:9 planned and cut shot by shot; product films built from packshots, textures, and close-ups; and display or rich media placements such as 300×250 units generated alongside vertical and square versions. Personalization sets cover scenarios where one campaign needs a different product, offer, or audience per row — for example a discount for one segment and free shipping for another. Teams can also build ads through MCP-compatible assistants or the REST API from their own applications. AdChef is aimed at marketers, agencies, creators, and businesses, with a separate enterprise track for organisations that need creative production across brands and channels. Team workspaces include roles and permissions, credit controls that check requests against the workspace balance, usage visibility for credit transactions and generation usage, multi-factor authentication, and shared brand assets, and each workspace's brands stay with its members. Developers can connect AdChef to Claude, ChatGPT, Cursor, VS Code, or their own platform through MCP or a REST API, with tools for creating static, video, carousel, and rich media ads, listing brands, and checking generation status. Pricing is per seat per month: Starter at $30 with 15,000 credits, display, image and video ads, UGC with library avatars, one brand, and MCP access; Pro at $100 with 50,000 credits, campaigns, brand personas, 4K export, five brands, and five parallel runs; Business at $300 with 150,000 credits, unlimited brands, ten parallel runs, and Slack support; and custom Enterprise plans with 200K credits per seat, contracted seats and invoicing, REST API and white-label, and a dedicated success team. Taken together, AdChef's proposition is one studio for the whole ad-making job: a starting idea, a brand kit, a garden of best-in-class models, and a studio for editing, personalizing, and planning, all in one place. For marketers, agencies, creators, and businesses, the value is speed and volume without losing brand consistency — more creative variations, in more formats and more placements, produced with less effort and reviewed before they ship.