AI Development
End-to-end LLM systems that actually work in production
Full lifecycle AI development: requirements gathering, system architecture, model integration, validation, deployment, and monitoring. GPT-4, Claude, Gemini, and open-source models. Multi-agent systems, RAG pipelines, and custom fine-tuning where appropriate.
Deliverables
- ▸ LLM integration architecture
- ▸ Multi-agent workflow systems
- ▸ RAG/retrieval pipelines
- ▸ Production deployment with monitoring
- ▸ Accuracy validation and testing
Ideal for
Businesses needing a reliable AI system built from scratch or an existing workflow that needs an intelligent layer added.
Automation Engineering
Python pipelines that eliminate manual, repetitive work
Workflow automation using Python, LangChain, REST APIs, and integration platforms. Document processing, data extraction, CRM automation, reporting pipelines, scheduled jobs, and event-driven automation. If your team is doing the same thing manually more than 10 times per week, it's automatable.
Deliverables
- ▸ Document/email processing pipelines
- ▸ Automated reporting workflows
- ▸ API integration and data sync
- ▸ Scheduled automation scripts
- ▸ Exception handling and monitoring
Ideal for
Operations teams spending hours on repetitive data entry, report generation, document processing, or system synchronization.
LLM Integration
Connecting language models to your existing systems
Integrate GPT-4, Claude, Gemini, and other LLMs into your existing applications, workflows, and platforms. Custom knowledge bases, prompt optimization, API wrappers, streaming interfaces, and cost management. Works with any tech stack.
Deliverables
- ▸ LLM API integration and abstraction
- ▸ Custom knowledge base construction
- ▸ Prompt engineering and optimization
- ▸ Cost monitoring and rate limiting
- ▸ Multi-provider routing for reliability
Ideal for
Product teams wanting to add AI capabilities to existing tools, or developers needing an experienced hand on LLM plumbing.
AI Strategy & Consulting
Practical AI roadmaps for businesses ready to act
Not strategy decks that collect dust — practical AI roadmaps you can actually execute. Process analysis to identify automation candidates, ROI modeling, vendor evaluation, build vs. buy decisions, and a clear prioritized implementation plan.
Deliverables
- ▸ Workflow automation audit
- ▸ AI opportunity prioritization
- ▸ ROI modeling per use case
- ▸ Vendor/tool evaluation
- ▸ Implementation roadmap
Ideal for
Business leaders who know AI automation is relevant but need help identifying where to start and whether to build or buy.
Business Analysis
Requirements and delivery management for technical projects
Technical business analysis for AI and automation projects. Requirements gathering, user stories, gap analysis, process documentation, Agile/Scrum facilitation, and stakeholder alignment.
Deliverables
- ▸ Requirements documentation
- ▸ User stories and acceptance criteria
- ▸ Process flow diagrams
- ▸ Gap analysis reports
- ▸ Stakeholder communication plans
Ideal for
Technical teams needing BA support, or business teams that need someone technical enough to translate requirements into implementation specs.
Full-Stack AI Applications
Complete AI-powered web apps deployed on Cloudflare
End-to-end build of AI-powered web applications: React/TypeScript frontend, Python or Node.js backend, LLM integration, database, and Cloudflare deployment. From voice-activated tools to intelligent dashboards to automated content platforms.
Deliverables
- ▸ React/TypeScript frontend
- ▸ API backend with LLM integration
- ▸ Database design and implementation
- ▸ Cloudflare Workers/Pages deployment
- ▸ Production monitoring and analytics
Ideal for
Founders and product teams who need an AI-powered application built and shipped — not a prototype, a real product.