LLM applications, integrated into production software.
Integrating OpenAI, Anthropic, Google and open-source or private models into production software.
An LLM application is not just an API call wrapped in a UI. It is a piece of production software with the same requirements as everything else you run: predictable latency, error handling, cost control, logging, and a plan for what happens when the model is wrong. We treat the model as one component in a larger system, not the system itself.
Capabilities.
Fits into what you already run.
Four steps, not a leap.
Define the task precisely
A vague task produces a vague, unreliable system regardless of the model behind it.
Prototype on real data
Test against your actual data early, not a clean sample set.
Add monitoring before scale
Logging and cost tracking go in before usage grows, not after something breaks.
Keep models swappable
Architect so a different model can replace the current one without a rewrite.
You bring the problem.We figure out the technology.
No sales pressure. We will first understand what you are trying to fix, then tell you honestly how we would approach it, including when the answer is simpler than you think.