What does a generative AI agency do?

A generative AI agency builds systems that create new content — text, images, code, and structured data. Common projects include AI content pipelines for marketing teams, custom image generation systems, AI-assisted code review tools, document summarization workflows, and brand-voice fine-tuned writing assistants.

How much does generative AI development cost?

Generative AI projects range from $10,000 for a simple LLM-powered content tool to $100,000+ for fine-tuned models with custom training data and enterprise integrations. Most mid-complexity generative AI pipelines cost $15,000–$50,000 to build and $2,000–$8,000 per month to operate.

How long does a generative AI project take?

A basic generative AI pipeline (content drafting, summarization) takes 2–6 weeks. Fine-tuned models with custom training data take 8–16 weeks. Enterprise generative AI platforms with safety layers, workflow integration, and governance tooling take 3–6 months.

What tools do generative AI agencies use?

Generative AI agencies work with LLM APIs (OpenAI, Anthropic, Google), image generation APIs (DALL-E, Stable Diffusion, Midjourney), fine-tuning infrastructure (OpenAI fine-tune API, Hugging Face, AWS SageMaker), and prompt engineering and evaluation frameworks like LangChain and PromptFlow.

How do generative AI agencies handle content safety?

Responsible generative AI agencies implement layered safety: system prompts that define output constraints, content classifiers that filter harmful outputs, human review workflows for high-stakes content, and brand-guideline enforcement through output validation. Ask agencies for their specific guardrail architecture before contracting.

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Common use cases in this category

AI content generation pipelines for marketing teams
Custom image and visual asset generation at scale
Code generation and developer productivity tools
Document summarization and report generation
Fine-tuned models for brand voice and specialized knowledge
AI-assisted product descriptions and e-commerce copy

Questions to ask agencies in this category

Have you fine-tuned models before, and what size datasets did you work with?
How do you handle content safety and brand guideline enforcement in generated outputs?
What is your approach to copyright and IP risk in generated content?
How do you ensure quality and consistency at scale?
Can you show examples of generative AI workflows you've built in production?

Generative AI

Common use cases in this category

Questions to ask agencies in this category

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