LLM Cost & Architecture Optimization
Understand your AI spend. Reduce waste. Protect the quality users depend on.
Discuss your project ↗Price on request · Focused assessment + implementation, approximately 2 weeks after scope agreement
Where I can help
Small architectural decisions become expensive as usage grows. I help teams understand their cost drivers and implement targeted improvements, using representative evaluations to assess quality and reliability alongside cost.
- Analyze model usage, request patterns and cost drivers.
- Match model capabilities to the needs of each task.
- Design multi-provider routing and fallback behavior.
- Review prompt size, token budgets, repeated calls and retries.
- Add telemetry and evaluate changes against real application examples.
What you get
- A baseline of usage, costs and available quality signals.
- A prioritized optimization plan with explicit tradeoffs.
- Implemented improvements for the agreed scope.
- A before-and-after comparison on representative workloads.
- Documentation of routing, fallbacks and remaining opportunities.
How we work
We start with your goals, architecture and available usage data. Together, we define the quality criteria that matter. I identify opportunities, implement the agreed changes and compare results against the baseline.
For Ana M, multi-provider routing using OpenAI and Gemini, semantic fallback and cost telemetry reduced costs while maintaining output quality. This previous result is not a guarantee of future savings.
View case on Contra ↗Before we start
Can you guarantee a specific percentage of savings?
No. Savings depend on the architecture, workload and quality requirements. My previous 60–80% reduction is a project result, not a guarantee for every engagement.
How do you protect output quality?
We define representative examples and acceptance criteria before making changes, then compare the optimized approach against the baseline.
Do we need to switch AI providers?
Not necessarily. Improvements may come from model selection, routing, prompt size, token budgets or retry behavior within your existing setup.
What if we do not have reliable cost tracking?
We can scope an initial telemetry and baseline phase so decisions are based on measured usage.
How long does it take?
Around two weeks for a focused engagement. Timing is confirmed after reviewing the architecture, available telemetry and evaluation requirements.
Let’s talk about your project.
A free 30-minute discovery call. English or Portuguese.