Service · Nocta AI Studio
LLM Integration
We embed large language models into your real workflows — not as a chatbot bolted on the side, but as part of how the work gets done.
/ The problem
What this service solves.
LLMs are powerful but rarely useful out of the box. The hard part is grounding them in your data, your tools and your business rules.
/ What's included
The work itself.
- Model selection for the task (quality, cost, latency)
- Prompt and context design
- Integration into your existing app or workflow
- Guardrails, evaluation and fallback logic
- Usage and cost monitoring
/ Outcome
What you walk away with.
An LLM that produces outputs your team actually ships — not impressive demos that fail in production.
/ How it fits
Where this sits in the studio.
Pairs naturally with RAG when the model needs access to internal knowledge, and with Custom AI Agent when it needs to take actions.
/ Next step