AI that does specific work for your business, not generic chat.
Custom AI agents, RAG implementations, AI-augmented workflows, and Claude or OpenAI integrations built into your existing product or shipped as a new one.
AI arrives as a demo. A chat window is added, the team gets excited, and months later nothing has shipped because the integration was never specified at the workflow level. The model was chosen before the job was defined.
One specific workflow doing measurable operational work in production.
- 01A named job, not a generic assistant
- 02Integration inside the existing product
- 03Evaluation and observability from day one
Workflow and use-case definition
We start from the operational job you want done, not from the model. What gets automated, what stays human, and how you will know it worked.
- Use-case specification
- Success criteria
AI architecture and product integration
Claude or OpenAI APIs, retrieval over your own data, and the surrounding architecture: caching, fallback paths, prompt versioning. The AI stays invisible inside the product.
- RAG and agent architecture
- In-product integration
Evaluation, observability and delivery
Evaluation harnesses and prompt observability so quality is measured rather than assumed, then shipped to production behind the same release process as the rest of the product.
- Evaluation harness
- Production deployment
- 01
Identify the job
Define the operational task, its inputs and what a correct output looks like.
- 02
Integrate the intelligence
Build the retrieval, agent and product surfaces around that task.
- 03
Evaluate and deploy
Measure output quality, instrument it, then ship it to production.
PM Agent
AI agent · Project management
- Challenge
- Project work stalls between status updates: tasks unassigned, deadlines undefined, follow-ups forgotten.
- Our part
- We built an AI project manager that breaks work into tasks, assigns owners, sets deadlines and follows up automatically.
Trusted by engineering teams at
AI Integration, answered.
- What does AI integration actually involve?
- AI integration means wiring a model into a specific business workflow so it does a defined job — parsing documents, drafting replies, planning tasks, retrieving answers from internal data. The work is mostly the software around the model: retrieval, caching, fallback paths, prompt versioning, evaluation and observability. LIVV Creative Studio starts from the operational job, then designs the integration around it.
- How much does it cost to integrate AI into an existing product?
- It depends on the workflow, not on the model. LIVV Creative Studio scopes AI integrations as fixed-fee or retainer engagements agreed before kickoff, and works from the specific job to be automated rather than quoting a generic AI package. Bring the workflow and you get a scope and a price before any build starts.
- How long does an AI integration take to ship?
- LIVV Creative Studio works to ship something measurable inside ninety days. The pattern is: define the operational job and what a correct output looks like, build the retrieval and agent architecture around it, then instrument and deploy — rather than running an open-ended pilot.
- Which AI models does LIVV build with?
- Anthropic's Claude API is the primary model, with OpenAI used where the use case fits, plus custom RAG layers for retrieval over a client's own data. Model choice follows the job; the surrounding architecture is what determines whether the integration survives production.
- What is the difference between an AI agent and a chatbot?
- A chatbot answers a message. An agent completes a task: it decomposes a goal, takes actions across systems, and follows up until the work closes. LIVV Creative Studio built PM Agent on this model — it turns a written objective into assigned tasks with deadlines and chases them automatically.
- Can you add AI to a product that already has users?
- Yes, and it is the more common request. The hard part is not the model call but the surrounding architecture — caching, fallback behaviour when the model fails, prompt versioning, and evaluation harnesses so quality is measured rather than assumed. That is the part LIVV Creative Studio builds.
- Who builds AI integrations in Argentina?
- LIVV Creative Studio is a creative engineering studio in Buenos Aires, Argentina that builds custom software and AI integrations for clients across Latin America, the United States, the United Kingdom and Europe. It works bilingually in Spanish and English, with full time-zone overlap with the US East Coast.
Bring us the operational job.
We will design the AI around it.
Not a chat window. One workflow, integrated into your product, measured in production.
