Devprimo

Agentic AI & Production LLM Systems

AI systems that survive contact with real users — agents that act across your tools, with the evaluation and guardrails to run unattended.

Claude & LLM APIsMCPRAG pipelinesEvals & tracing

SYS — Overview

The gap in AI work is no longer capability, it's reliability. A prototype that answers well in a demo behaves very differently against real users, real edge cases and real data — which is why so many pilots never ship.

We build agentic systems designed for that second half: agents that take real actions across your existing tools, with the evaluation, tracing and guardrails needed to run without someone watching them.

SYS — What you get

  • Agents that act across your systems, not a chat window bolted onto a sidebar
  • Multi-step workflows with orchestration, retries and fallbacks when a step fails
  • An evaluation suite that catches regressions before your users do
  • Tracing and guardrails, so you can see what the system did and why

SYS — Capabilities

Agents that take real actions across your existing systems

Multi-step workflows with orchestration, retries & fallbacks

Evaluation suites, tracing & guardrails before anything goes live

Rescue work: getting a stalled AI pilot into production

Ideal for: Teams past the demo stage who need an AI feature that's reliable enough to put in front of customers — or who have a pilot that never shipped.

SYS — Related work

SYS — Questions

We have a pilot that never made it to production. Can you take it over?

That's some of the most common work we do. Usually the model isn't the problem — the missing pieces are evaluation, error handling and integration with the systems the agent needs to touch.

Which models do you build on?

Whichever fits the job. We work with Claude and other frontier LLM APIs, and the architecture keeps the model swappable — pricing and capability move too fast to hard-wire one in.

How do you stop it doing something it shouldn't?

Scoped permissions, human-in-the-loop confirmation for anything consequential, and guardrails checked in evaluation before release rather than discovered in production.

SYS — Other services

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Need agentic ai & production llm systems?

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