/ service / 05
AI development
LLM features, AI assistants, RAG search, automation flows, and model integrations inside product logic.
/ scope
What the work includes
/ stack
Technology focus
How 01.DEVS joins
We start with a short discovery, define risks, priorities, and the delivery plan, then move in iterations with transparent communication and a production focus.
/ questions
What to know before starting
When should you involve 01.DEVS for AI development?
When you need to launch, modernize, or scale a product without losing production focus. 01.DEVS starts with discovery, defines risks, and turns AI development into a clear delivery scope.
What is included in AI development?
A typical scope includes AI feature discovery and feasibility assessment, LLM workflows, prompts, and evaluation scenarios, RAG, vector search, and knowledge-base integrations. The final work package is shaped after a short technical review so the plan stays specific and avoids unnecessary tasks.
Which stack does the team use for this direction?
The main technology focus is LLM Apps, RAG, Vector Search, Automation. We choose the stack around the product, team, and post-release support instead of following trends by default.