AI Audit
A clear-eyed review of your existing AI usage — accuracy, cost, security, and risk. You leave with a prioritised action list and an honest answer to "is this actually working?"
AI Engineer · Consultant
Independent AI engineer and consultant. I help companies design, ship, and operate AI products that age gracefully in production.
From audits to full-stack builds — four ways to work together.
A clear-eyed review of your existing AI usage — accuracy, cost, security, and risk. You leave with a prioritised action list and an honest answer to "is this actually working?"
Production-grade foundations: RAG, vector databases, model gateways, evals, observability and CI. The unglamorous pieces that turn a demo into a dependable product.
Autonomous agents, multi-step workflows, and tool integrations that plug into your real systems — Slack, Notion, Linear, internal APIs — and quietly remove hours of repetitive work each week.
Full-stack AI-powered applications built on a modern, boring-by-choice stack (FastAPI, Next.js, Supabase). From first prototype to a product your team actually uses.
I'm a software engineer focused on the practical end of AI — the part where models meet messy data, real users, and uncomfortable deadlines. Most of my work sits between strategy and shipping: helping teams figure out what to build, then actually building it.
I care about systems that age well: clear interfaces, honest evaluations, sensible defaults, and code other people can read on a Monday morning.
Tech stack
Python
FastAPI, FastMCP
TypeScript
Next.js
Supabase
Postgres + Auth
AI/ML
Anthropic, OpenAI
Approach
Strategy to shipping
I help teams figure out what to build, then actually build it. No gap between planning and execution.
Production-grade
Everything I build is designed for real workloads — with evals, observability, and sensible error handling.
Daniel Hunt is an independent AI engineer and consultant. He helps companies design, build, and operate AI products — including audits of existing systems, production AI infrastructure (RAG, evals, observability), autonomous agents and workflow automation, and full-stack AI applications.
Email contact@danielhunt.dev or use the contact form on danielhunt.dev. Daniel typically replies within two working days and offers free 30-minute scoping calls.
An AI audit is a structured review of an organisation’s existing AI usage covering accuracy, cost, latency, security, governance, and risk. The deliverable is a prioritised action list and a candid assessment of whether each AI feature is actually delivering value.
Python (FastAPI, FastMCP), TypeScript (Next.js), Supabase (Postgres + Auth), Vercel and Render for deployment, and the major model providers (Anthropic, OpenAI, Google). For agent work he builds autonomous agents, multi-step workflows, and MCP servers that integrate with tools like Slack, Notion, and Linear.
Both. Engagements range from one-week audits for early-stage startups to multi-month builds and ongoing fractional engineering for established companies.
Daniel works remotely with clients globally. He is comfortable collaborating across time zones and is fluent in English.
Whether it's a quick audit, a months-long build, or a sanity check on an idea — drop a note.
Replies within 2 working days