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Content Operations

Darkroom Opens Shadow AI Workspace to Public Beta for Marketing Teams

Darkroom, an AI-native growth marketing agency, has launched Shadow — an AI workspace it built and used internally for six months — into public beta. The tool connects a brand's commerce and marketing data into a shared brand library and enables human-AI collaboration in multiplayer threads, with plans starting at $120 per month.

Darkroom, an AI-native growth marketing agency that claims more than $5 billion in attributable commerce revenue, opened its Shadow workspace to the public on 21 September 2026. Shadow, which Darkroom built for its own internal use and ran on for six months, is now available in public beta to in-house marketing teams and agencies, with a three-day free trial and plans starting at $120 per month.

The product is designed to address what Darkroom describes as a fragmentation problem inside marketing teams: each team member working in a separate AI tool with different context and data, leaving shared knowledge trapped in individual chat histories. Shadow's approach is to make a single, continuously updated brand library the common foundation for both people and AI agents.

The workspace syncs performance and commerce data from platforms including Meta, Google, Shopify, Klaviyo, TikTok, Amazon Seller, Amazon Ads, Amazon DSP, Walmart, and Google Analytics into normalised tables on an hourly basis, with full historical backfill. Creative assets and documents from tools such as Notion, Slack, and Figma are also incorporated. Teams and agents then work together in shared multiplayer threads for tasks including creative reviews, weekly reporting, and campaign planning.

Shadow is described as model-agnostic: teams can connect existing AI models including Claude, ChatGPT, Codex, and Cursor, assign each a role and permissions, and use the Model Context Protocol (MCP) to carry brand context into whichever AI application the team uses. Every agent action is visible to users; changes to live ad accounts — such as Meta and Google Ads budgets, bids, and statuses — are proposed with a before-and-after preview and require human approval before execution. All executed changes are recorded in an audit trail, and Google Ads changes can be rolled back.

Jackson Corey, Co-Founder and Chief Creative Officer of Darkroom, who built Shadow, said: "Right now everyone on a marketing team works in their own AI silo: different tools, different context, different data. Shadow makes the brand the single source of truth that every person and every agent works from, so no one starts from zero again. We ran Darkroom on it for six months. Now we're opening it to every marketer and agency."

Darkroom says its internal use of Shadow reduced reporting and decision-making time across its teams by more than 80 percent, according to the agency's own measurement. A biweekly performance creative report that previously required roughly two hours of analyst time per client per cycle can now be produced from a single prompt. Post-signature client onboarding, which previously took about two weeks, now runs in about three days, according to the company.

Lucas DiPietrantonio, Co-Founder and CEO of Darkroom, framed the product in broader terms: "The best future for this firm is one where our strategists deliver outcomes on the best technology in the market, and Shadow is that technology. What we're building is what a holding company would look like if you rebuilt it today on AI, with none of the legacy drag."

Shadow operates as a standalone, self-service product independent of Darkroom's agency business; teams can adopt it without engaging the agency. Pricing tiers are Starter at $120 per month, Core at $200, and Max at $500, with custom Enterprise terms available. All plans include unlimited users and unlimited connectors. The product is accessible at shadow.co.

Prepared with AI assistance and reviewed by the editorial team.

Sources