AI App Development
AI is not magic — it is infrastructure. I build AI-powered applications that work reliably in production, not just in demos. LLMs, autonomous agents, RAG pipelines, and AI automation that your users can actually depend on.
Is This for You?
Who needs ai app development?
Startups building AI-first or AI-powered products
Companies adding AI features to existing products
Founders who tried AI tools but the results were unreliable
Teams that need AI systems that work 24/7 without babysitting
Anyone who has been burned by "AI" vendors who deliver flashy demos that do not scale
What It Solves
Problems I fix with ai app development
AI features that hallucinate or fail silently
LLM outputs are unpredictable without proper guardrails. I implement validation, fallbacks, and monitoring so AI failures do not break your product.
AI costs that spiral out of control
Without proper caching, batching, and model selection, AI costs can destroy your unit economics. I build cost-efficient AI infrastructure.
AI that does not know your data
Generic ChatGPT does not know your product. I build RAG pipelines that connect LLMs to your actual data so responses are accurate and relevant.
Agents that do not actually work autonomously
Most "AI agents" break at the first unexpected input. I build agents with proper error handling, retry logic, and fallback strategies.
Security and data privacy concerns
AI systems have unique security requirements. I implement proper data handling, PII detection, and compliance measures.
AI that is too slow for users
LLM latency kills user experience. I optimize with streaming, caching, and smart UX patterns that make AI feel instant.
What You Get
What's included
Autonomous AI Agents
Agents that reason, plan, and execute tasks autonomously — with proper error handling, monitoring, and human oversight.
RAG Pipelines
Retrieval-Augmented Generation systems that connect LLMs to your knowledge base. Accurate, up-to-date responses grounded in your data.
LLM Integration
OpenAI, Anthropic, Google, and open-source models integrated into your product with the right abstraction layer for flexibility.
AI Feature Development
AI-powered search, recommendations, summarization, classification, and content generation — built into your product, not bolted on.
AI Workflow Automation
Automate repetitive tasks with AI. Document processing, data extraction, quality assurance — things that used to need humans.
AI Observability
Monitor AI outputs, track costs, detect drift, and set up alerts. You know when your AI is misbehaving before users complain.
How It Works
From start to shipped
Audit
I look at your existing product, identify where AI adds the most value, and assess technical feasibility.
Prototype
Fast AI prototype to validate the approach works. We test with real data before committing to full development.
Build
Production-grade AI infrastructure with proper error handling, monitoring, and cost controls built in from day one.
Ship & Monitor
Deployed AI systems with observability. You see cost, quality, and usage metrics in real time.
Tech Stack
Tools and technologies I use
FAQ
Common questions
What AI models do you work with?
All of them — OpenAI, Anthropic Claude, Google Gemini, open-source models via APIs or self-hosted. I pick the right model for the task and budget.
How do you prevent AI from making costly mistakes?
I implement guardrails: validation layers, cost caps, human-in-the-loop checkpoints for high-stakes decisions, and real-time monitoring.
Can AI be added to my existing product?
Yes. Most of my AI work is adding AI capabilities to existing products — not building AI products from scratch. I integrate cleanly with your stack.
How much does AI development cost?
It depends on complexity. Simple LLM integrations start at a few thousand. Autonomous agent systems with RAG can run higher. I give fixed-price quotes after scoping.
Do you handle the ongoing AI costs?
I help you architect for cost efficiency. API costs are paid by you directly to the model provider — I do not mark those up. I can also advise on self-hosted alternatives for high-volume use cases.
What about AI compliance and data privacy?
I implement proper data handling for GDPR and similar regulations. I also help assess whether your AI use case triggers specific compliance requirements.
Ready to add AI to your product?
Book a free call and let us explore what AI can do for you.
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