AI & agent engineering
Everyone says “add AI.” We build what that actually means.
AI inside your product. A connection so AI assistants can find and use your business. Automation that runs without you. Engineered — not improvised — by a studio that runs every one of those things in production on this very site.
The shift
The web is getting a second audience: machines that act.
Your next customer might never see your homepage — their agent will. Products that expose a clean interface to agents get used and recommended. Products that do not get skipped.
Agents act now, they don’t just answer
AI assistants increasingly complete tasks for people — comparing options and taking action. They look for an interface they can call, not copy to read.
MCP is how agents plug in
The Model Context Protocol is becoming the standard way agents reach real tools. A product without one is invisible to the agents your customers already use.
Answer engines absorb the click
When an assistant answers in-line, the visit never happens. Being the source an agent trusts and can use is the new front page.
What we do
Three jobs, in plain words.
Put AI inside your product
Features that draft, summarize, and decide — built to keep working when real users and real bills show up, not just in the demo.
drafting · summarizing · deciding
Connect your business to AI agents
An MCP server and agent-readable pages, so when a customer’s AI assistant shops your category it can find you, read you, and actually use you.
MCP servers · agent-ready sites
Automate the repetitive work
Intake to processing to delivery, wired end to end — the work happens whether or not you are watching, and survives a restart.
intake · follow-ups · reporting
Every job comes in sizes — from a $29 ready-made skill you install yourself to a $50,000 build we do for you. Pick how much help you want; the price follows.
See the services →New to the jargon? Skills, MCP servers, and agents, explained in plain English. Five minutes each.
How it works
Scope it, build it, hand it over.
- 01
Scoping call — 20 minutes
You describe the job. You get a plain answer on whether it is a fit, roughly what it takes, and how it would be scoped.
- 02
Fixed-scope build
A defined engagement with acceptance checks — what will demonstrably work when it is done — not an open-ended retainer.
- 03
Handoff + docs
You keep the keys, the code, and the eval harness. No lock-in, no dependency on the person who built it.
We ship what we sell
Everything we sell runs live on this site. Click it.
A paid AI pipeline, a callable MCP server, agent-readable everything — running in production on this domain, not on a slide. The proof page has all of it, including a terminal that calls our MCP server from your own browser.
Who you’re working with
One engineer. No handoffs, no account managers.
Synthiq is a one-person engineering studio. The person you talk to on the call is the person who scopes the work, writes the code, and runs everything you see on this site — the paid pipeline, the MCP server, all of it. No fabricated logos, no invented metrics. What you see is what has actually shipped.
Start here
Tell us the job. Leave with a plan.
One 20-minute working session. Bring a real problem — an AI feature, an MCP server, an automation, an agent-ready site. You leave with a rough architecture and a go / no-go, whether or not we end up working together.
- →No slide deck.
- →No obligation.
- →A real engineer, not a closer.
On the call: point your own agent at synthiq.app/api/mcp and watch it work.