Services
AI automation & AI agent development
Workflows and agents that take repetitive work off your team, from research to publishing.
I build workflows and agents that take repetitive work off your team: research, content, reporting and data analysis, wired into the tools you already use. For 16x9.ai, four chained n8n workflows cut content production time 95%.
A good fit if you're…
- Content and marketing teams producing on a schedule
- Operations teams stuck on repetitive research or reporting
- Teams that want to ask questions of their own documents or data
- Companies whose n8n, Make or Zapier flows break on edge cases
What you get
- n8n and LLM workflow automation
- AI agents that act on your data and tools
- Retrieval (RAG) over your own documents
- Workflow design with failure handling
- Documentation your team can maintain
How we'd work together
- 01Discovery callWe talk through the problem, your users and what success looks like.
- 02Scope & fixed quoteYou get a clear plan, milestones and a fixed price for the first build.
- 03Build with weekly demosYou see working software every week, not a big reveal at the end.
- 04Launch & supportI ship to production, hand over cleanly and stay on for fixes and next steps.
Ways to work together: Fixed-scope build, Monthly retainer, Consulting call.
Case studies
Tools I use
- n8n
- Make
- Zapier
- LangChain
- Gemini
- OpenRouter
- Airtable
- Python
Questions
n8n, Make or custom code?
Whatever fits your team. n8n works well for workflows you want to see and edit; custom Python or TypeScript agents make sense when the logic outgrows a visual builder.
Can an agent work with our own data?
Yes. Agents can run analysis on your data, like the Data Analyst Agent running pandas in a live Jupyter kernel, or answer questions from your documents with retrieval (RAG).
What results can automation deliver?
On the 16x9.ai content engine, four chained n8n workflows cut content production time 95%.
Other services
- Voice AI agentsReal-time voice agents that talk to your customers, learners or candidates, and stay affordable at scale.
- AI product buildsFrom idea to a shipped, full-stack AI product: web, mobile and the backend behind it.