5+ years
AI & Automation
Building AI into products and operations — from single-model integrations to multi-agent systems. Workflow automation that removes manual work and lets small teams operate at scale.
disciplines
- - Agent creation
- - Workflow automation
- - Prompt engineering
- - AI product design
- - LLM integration
- - Agent architecture
- - Multi-model orchestration
- - Fine-tuning
- - RAG pipelines
- - Embeddings
- - Vector databases
tools
- - OpenAI
- - Claude
- - Gemini
- - Mistral
- - Llama
- - Stable Diffusion
- - Midjourney
- - Runway
- - ElevenLabs
- - LangChain
- - OpenClaw
- - Cursor
- - Claude Code
- - Codex
- - Copilot
- - Windsurf
- - Replit
- - v0
- - n8n
- - Zapier
- - Make
- - Notion
- - Airtable
notes
Agent systems
Designing and building AI agents that handle real tasks autonomously — support triage, content generation, data analysis, compliance screening. This includes agent architecture decisions: when to use single agents vs. multi-agent orchestration, how to scope permissions, and how to build reliable feedback loops.
Workflow automation
Using n8n, Zapier, and Make to connect systems and eliminate manual processes. CRM workflows, content pipelines, reporting, alerting — anything repetitive gets automated. The goal is always the same: keep the team small by making the systems do the work.
LLM integration
Integrating language models into products — from simple chat interfaces to complex RAG pipelines with embeddings and vector databases. Provider-agnostic where possible, with routing logic that picks the right model for the task based on quality, speed, and cost.