AI Content & Knowledge Systems
Most businesses already have the answer to 80% of repeat questions buried in docs, tickets, or someone's head. I build the AI systems that surface those answers — measured accuracy, known refusal rate (the system says "I don't know" when it should), and grounded in YOUR content not GPT's training data.
What I do
• Build RAG (retrieval-augmented generation) systems that ground LLMs in your actual content
• Set up vector databases, embeddings pipelines, and re-ranking for accuracy
• Integrate with your existing knowledge sources: Notion, Confluence, Drive, ticket systems, databases
• For content: build AI-assisted drafting pipelines with style guides + human review
• Honest accuracy testing — what % of queries the system answers correctly, what % it should refuse
Who it's for
Enterprises with sprawling knowledge across multiple tools, or local businesses with deep expertise locked in long-form docs. Anyone who finds themselves answering the same question repeatedly.
Typical outcomes
• A working AI-powered knowledge system grounded in YOUR content — not the public internet
• Measured accuracy with a known refusal rate (the system says "I don't know" when it should)
• A content production pipeline that produces drafts in your voice, not generic LLM output
• Documentation on prompt patterns + retrieval tuning your team can iterate on
Want to talk AI Content & Knowledge Systems?
Quick scope call, no commitment. Worst case you leave with a clearer view of what to do next, with or without me.