AI agents & automation
AI Agent Developer — Chatbots & Automations Trained on Your Content
I build AI agents that do a specific job well: answer customer questions from your own documentation, qualify inbound leads, or run a repetitive internal task on a schedule. Every agent ships with the prompt system documented, so your team can adjust it without needing me.
What you get
Support chatbots on your content
An assistant grounded in your own docs, product pages and past answers, so it stops inventing policy.
Lead qualification agents
A chat flow that asks the right questions, scores the enquiry and hands a clean summary to your inbox or CRM.
Internal automations
Agents that summarise, tag, draft or route work on a schedule, wired into the tools your team already uses.
Prompt systems & playbooks
Reusable prompt templates and evaluation checks, so AI output is consistent instead of a lucky first draft.
AI content pipelines
AI-generated images, video and UGC-style ads produced on a repeatable pipeline rather than one-off experiments.
How it works
- 01
Define the one job
We pick a single measurable task for the agent. Narrow agents work; general-purpose ones drift.
- 02
Ground it in your data
I ingest your content, wire retrieval, and add guardrails so the agent answers from your material or says it doesn't know.
- 03
Test, document, hand over
You get an evaluation set, the documented prompt system and an admin surface to edit responses yourself.
Frequently asked questions
What is an AI agent, in practical terms?
A program that uses a language model to complete a defined task — answering support questions from your documentation, qualifying a lead, or summarising and routing incoming work — with rules about what it may and may not do.
Can the chatbot answer using my own content?
Yes. I ingest your documentation, product pages and past answers so the agent responds from your material, and add guardrails so it says it doesn't know rather than inventing an answer.
Which AI models do you build on?
I pick the model per task rather than committing to one vendor, and keep the integration behind a single interface so the model can be swapped later without a rewrite.
Will my team be able to change how it responds?
Yes. Every agent ships with the prompt system documented and, where it makes sense, an admin panel so non-technical staff can edit responses without a deployment.