I build AI features that ship. Claude, OpenAI, and Azure OpenAI integrated into your .NET/Azure stack with production-grade engineering.
I'm a .NET and Azure engineer who learned AI, not an AI consultant learning .NET. That means production-grade error handling, cost management, and security, not just API wrapper code.
AI features that solve real problems, not features that just add buzz to your pitch deck.
Agents that make decisions and take actions in your systems. Automated workflows that read, decide, and execute based on your business rules.
Extract structured data from receipts, invoices, contracts, and forms. Validated outputs with schema enforcement, so no hallucinations make it to your database.
Production-ready chatbots and AI assistants. Context-aware conversations with proper state management and fallback handling.
Semantic search through unstructured data. Find relevant information even when exact keywords don't match. Knowledge bases with retrieval-augmented generation.
Automated product descriptions, email drafts, report summaries. Template-driven generation with brand voice consistency and quality controls.
Analyse uploaded images for content moderation, accessibility descriptions, or product tagging. Extract text and structured data from visual content.
Honest assessment: If traditional code, rules engines, or SQL queries would work better, I'll tell you. AI isn't always the answer.
I treat AI APIs like any other external dependency: with the engineering rigour your production application deserves.
No tolerance for hallucinations. Structured outputs with strict validation. If the AI response doesn't match your data model, it never reaches your database.
AI APIs fail: rate limits, timeouts, invalid responses. I implement retry logic, circuit breakers, fallback strategies, and graceful degradation.
API costs add up fast. Token counting, caching strategies, and cost alerts. You'll know exactly what you're spending and why.
Proper API key management, request and response logging for audit trails, PII handling, and Azure-native security patterns.
When AI features break, you need to know why. Comprehensive logging, prompt tracing, and performance monitoring.
SSO authentication, role-based access to AI features, compliance requirements, and integration with your existing Azure infrastructure.
If you need ML engineering or data science, I'll tell you upfront and can point you toward specialists. My strength is making AI APIs work reliably in production .NET and Azure environments.
I'm building AI integration expertise through hands-on implementation. Here's what I've learned.
Understand modern agentic architecture patterns by reverse-engineering Claude Code's tool-calling system.
Built a .NET service orchestrating the Claude API with tool-calling for file operations, bash execution, and git integration. Reliable tool selection, error recovery, and context management.
It proves I can build agents that interact with real systems reliably. Tool-calling patterns apply to any workflow automation: reading documents and writing to accounting systems, analysing support tickets and routing to teams, processing data and triggering business logic.
Full transparency: this is a personal learning project, not client work. I'm building AI integration expertise through hands-on implementation and sharing what I learn. When I take on your project, you benefit from these learnings without paying for my education.
Fixed-price projects with clear deliverables. No hourly billing surprises.
Fixed-price technical assessment to validate your AI use case and design the implementation approach.
Production-ready AI feature with comprehensive error handling, monitoring, and documentation. Fixed quote provided after the discovery phase.
Post-launch optimisation and maintenance for production AI systems. Scope customised to your needs.
Pricing exclusions: all pricing excludes OpenAI, Claude, and Azure API usage costs (you pay those directly to the providers with your own account). The discovery phase includes detailed monthly cost estimation with volume projections and optimisation recommendations.
Not sure which option fits? Book a free 30-minute consultation. I'll discuss your use case and recommend the right approach, or tell you honestly if AI isn't the best solution.
Pricing varies based on complexity and integration requirements. All tiers include production-grade implementation.
2-3 weeks
4-6 weeks
6-10 weeks
All tiers include: production-grade error handling, cost monitoring, security implementation, comprehensive logging, testing strategy, and full technical documentation. The discovery phase provides a precise fixed quote for your specific requirements.
Share your AI use case. I'll recommend the right approach (AI or not) with honest feasibility and cost estimates. No sales pitch, I respond within 24 hours.