
AI-Driven Product Engineering & Integration
Starting at
$
1,500
About this service
Summary
FAQs
Isn't AI expensive to run at scale?
It can be if built poorly. I specialize in token efficiency and caching strategies. What this means for you is that we maximize the "intelligence" of every cent you spend on API costs.
How do we keep our data secure and private?
Security is non-negotiable. I implement "Private Data Layers" to ensure your proprietary information stays within your ecosystem and isn't used to train public models without your consent.
We have an idea but don't know where AI fits. Can you help?
This is where I offer the most value. We start with a "Vibe Check" on your current data—I’ll show you exactly where AI can replace a manual process or create a "wow" moment for your customers.
How long does it take to add AI to an existing app?
If your current stack is modern (like Next.js), I can often ship a "Phase 1" AI feature in as little as 7-14 days. I focus on high-impact, low-friction wins first.
What's included
Custom LLM Implementation
I integrate OpenAI, Anthropic, or open-source models directly into your app’s logic to handle complex reasoning, not just chat.
Vector Databases & RAG
Setting up Pinecone or Supabase Vector to give your AI "long-term memory" and the ability to process your specific business data securely.
Automated Content & Data Pipelines
Building workflows that use AI to categorize, summarize, or generate data, removing the need for human manual entry.
Smart UI Components
Crafting "Generative UIs" that adapt to user intent, making your application feel intuitive and futuristic.
Cost & Token Optimization
I architect your AI calls to be lean, ensuring your OpenAI bill doesn't eat your entire margin as you scale.
Prompt Engineering & Fine-tuning
Crafting the specialized "instructions" your AI needs to ensure its output is accurate, on-brand, and reliable.
Example projects
Recommendations
(5.0)


Recommended
Chinwuba is someone that is dedicated to his work and he always meet up on deadlines with a professional result. He is also a good team player that tries to understand what the project demands and his code base is well structured.


Recommended
Israel was well dedicated to the project with a keen eye for details. The most interesting part of working with him was his intuition in coming up with solutions even when not explicitly given.
Duration
1 week
Industries