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Capability Study · 03

LLMs · RAG · Workflows · Scale

AI Agent Systems

Agents that retrieve, reason and act inside real workflows.

Problem

Generic AI features look impressive in a demo and stall when they meet messy company knowledge and tools.

Context

How LavLoop thinks about agents that do work — retrieval, tools, evaluation — instead of answering trivia.

Constraints

Capability study. No fabricated accuracy numbers or unnamed enterprise logos.

Approach

Human-led design of the job to be done, then AI where it can take a step, with evals around the risky ones.

Technology

LLMs, RAG, tool use, workflow orchestration, logging and evaluation.

Outcome

AI that is part of the system, not a novelty sidebar.

Lessons

If you cannot say what the agent is allowed to do, it is not ready to do it.

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