AI integrated into the product, not bolted on: chat over your documents, agents that call your APIs, and automated workflows that remove busywork. Built on retrieval so answers come from your data — and wired into the same full-stack apps I build.
Ideal for
- Document Q&A and knowledge bases
- Customer support assistants
- Automating repetitive workflows
What you get
- RAG pipeline01
- Vector search02
- LLM agent workflows (n8n)03
- Prompt design04
- API integrations05
Tools
PythonLLM APIsVector DBsn8nWebhooks
Process
01
Use case
Define what 'correct' looks like.
02
Data
Ingest, chunk, embed, index.
03
Pipeline
Retrieve, assemble, generate.
04
Tune
Evaluate and reduce noise.
Related work
Proof, not promises.
Next service
Mobile App Development
Next step
I'm looking for full-time full-stack and AI engineering roles, and I take on select freelance projects.