AI Architecture Reshapes Agency Model: BaD Mktg Builds Proprietary Tools for Accelerated Creative Work
Ian Buck and Yotam Dor, the founders of BaD Mktg, have engineered a compelling case study in digital disruption. By founding their agency on a principle of rejecting traditional, time-based billing and fully e...
Implication-First Executive Summary[Expand Brief]
- Watch the operational impact on Fintech & Financial Operations.
- Instead of relying on off-the-shelf Large Language Models (LLMs) which require data leakage concerns, BaD Mktg developed 'BaD Ideas' in-house.
- Primary sector: Fintech & Financial Operations
- Operational lens: Development and use of proprietary AI tools (BaD Ideas and 'Goodie') for content generation, client brief processing, and administrative workflow automation.
- BaD Mktg (Toronto, Canada)
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- Watch next: Instead of relying on off-the-shelf Large Language Models (LLMs) which require data leakage concerns, BaD Mktg developed 'BaD Ideas' in-house.
Ian Buck and Yotam Dor, the founders of BaD Mktg, have engineered a compelling case study in digital disruption. By founding their agency on a principle of rejecting traditional, time-based billing and fully embracing generative AI, they aren't just marketing services; they are fundamentally redesigning the creative workflow. The core vision is simple but radical: to deliver the strategic depth and quality of a massive agency using the agility and cost-efficiency of a small, senior-led team.
The ingenuity lies not just in using AI, but in its proprietary deployment. Instead of relying on off-the-shelf Large Language Models (LLMs) which require data leakage concerns, BaD Mktg developed 'BaD Ideas' in-house. This internal platform allows the partners to process client briefs and generate content iteratively within a private, controlled environment. This architecture is key: it treats the AI as an extended co-pilot that learns their unique collective creative voice and preferred strategic approaches, enabling unprecedented speed and consistency.
BaD Mktg's strength lies in building proprietary AI architecture (BaD Ideas, Goodie) to create a private, deeply integrated workflow that not only enhances creative speed but also eliminates administrative friction, enabling a tiny team to achieve the operational scale of a large corporation.
Complementing the content engine is 'Goodie,' their administrative workflow automation system. Built using Claude code, Goodie acts as a sophisticated 'chief of staff,' pulling data from calendars, emails, texts, and reports. This level of workflow abstraction—moving from manual administration to automated daily knowledge synthesis—frees the senior creative strategists to focus intensely on high-value, pure creative output. The result is a measurable shift in operational capacity: projects that traditionally spanned six weeks are now being conceived and refined in mere days. This operational overhaul allows the two full-time principals to maintain a profitable margin and client reach far surpassing what their size would traditionally suggest.
From an engineering perspective, the move to generative storyboards and rapid content iteration is remarkable. By visually presenting concepts early using AI, they eliminate the ambiguity inherent in early pitching. This reduces client friction and accelerates the approval cycle, effectively lowering the barrier between concept and contract. The system operates on a closed loop: proprietary input -> AI acceleration -> human refinement -> rapid client deployment. It's a vertically integrated, low-overhead, high-output model that directly challenges the cost structure of the established advertising industry.
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