// SERVICE MODULE: LLM APPLICATION DEVELOPMENT
🧠 LLM Application Development Services
I build applications on top of large language models — OpenAI, Claude, Gemini — from API integration and prompt systems to evaluation and safety testing. My red-teaming framework, Sentinel AI, means I know how LLMs fail, which is exactly what you need from the person building with them.
⚠ The Problem
Shipping an LLM feature is easy; shipping one that's reliable, safe, affordable, and doesn't embarrass your brand is not. Teams struggle with prompt fragility, hallucinations, token costs, and no way to tell whether a change made things better or worse.
✓ The Solution
I build LLM features with versioned prompt systems, structured outputs, automatic validation, cost tracking, and evaluation suites. Where safety matters, I adversarially test the system before launch — prompt injection, jailbreaks, data leakage — using techniques from my LLM red-teaming work.
// Technologies Used
// What You Get
- ▸LLM feature design and model selection
- ▸Prompt system with structured outputs and validation
- ▸Evaluation suite and regression tests
- ▸Safety/red-team review for user-facing features
- ▸Production API with cost monitoring
// Related Work
Sentinel AI: LLM Red Teaming Framework
A human-centric AI safety system designed to evaluate and improve the robustness of Large Language Models (LLMs) through adversarial attacks, alignment checks, and safety mechanisms.
// Frequently Asked Questions
?Which LLM should my product use?
It depends on the task, latency, and budget — GPT models for broad capability, Claude for long-context and careful reasoning, smaller models where cost dominates. I benchmark candidates on your actual data before committing, and design so you can switch providers later.
?What is LLM red teaming and do I need it?
Red teaming is adversarial testing: deliberately attacking your LLM feature with prompt injection, jailbreaks, and edge cases to find failures before users do. If your LLM feature is user-facing or touches sensitive data, you need at least a basic red-team pass — it's a specialty of mine (Sentinel AI).
?Can you fix or improve an existing LLM feature?
Yes — audits are often the fastest win: I review prompts, retrieval, costs, and failure logs, then deliver a prioritized fix list with measured before/after quality.
// From the Blog
// Related Services
Ready to build?
Tell me about your project and I'll reply with a concrete plan, timeline, and quote — usually within 24 hours.