Services
The AI-agent layer your product is missing.
AI features, MCP servers, automation, agent-ready sites, and private on-prem agents — engineered by the person who ships and runs them in production on this very site.
The ladder
How much help do you want?
Every engagement is one of a few rungs — from a done-for-you build to pricing it yourself. Answer two questions, or just read the cards.
Which fits you? Two taps — no AI, nothing sent anywhere.
Who should do the building?
How far along are you?
Highest touch
We build it for you
from $15,000A custom MCP server, agent, or AI feature — scoped on a free 20-minute call, built to a fixed written quote, handed off with the keys, the code, and the docs.
- →Fixed-scope engagement, acceptance checks
- →You keep everything — no lock-in
- →Built by the engineer who runs this site
Guided
Build it with a guide at your side
$899Synthiq’s own AI agent walks you through building your MCP server and agent — the full DIY curriculum adapted live to your stack, your errors debugged as they happen. The clock only runs while you work.
- →3 hours of active time — pausable, persists forever
- →All DIY pack content included
- →Top-ups $99/hour — an AI guide, not a human call
Price it yourself
Price a custom build
free, takes minutesThe AI shop: assemble skills, an MCP server, or an agent and watch an honest estimate respond to your scope — bundle savings computed live, no checkout, no email required to look.
- →Real prices, real scope drivers
- →Savings computed, never hand-typed
- →Book a call with your build attached
Do it yourself
Do it yourself with our prompts
from $299Structured packs of copy-paste prompts and plain-English guides — build your own MCP server or agent with your own Claude, module by module, each with a "you know it worked when" check.
- →A prerequisite checklist before you pay
- →Durable private workspace, progress saved
- →No AI chat in this tier — you bring your own Claude
Ready-made
Buy a ready-made skill
from $29Generic, role-based Claude skills — tested, installable in minutes, yours to edit. Two are free to try; paid ones are one-time purchases delivered instantly at a private link.
- →Installed in minutes, no account
- →Free lead magnets to try the format
- →The cheapest way to feel what AI can do
What we build
Six ways to make your product agent-ready.
AI features that survive production
From a demo that impresses to a feature that holds up under real users and real bills.
Multi-model pipelines, structured outputs, evaluation harnesses, and cost control — built so the feature keeps working when traffic, edge cases, and invoices show up.
Why now — Buyers have moved past “add a chatbot” to wanting agents that complete tasks and run over long sessions. Most in-house teams have never shipped one that survives contact with production.
Custom MCP servers
A production MCP server — scoped and secured, not a demo that leaks your database.
Your product exposed to Claude and every other agent as real, callable tools: verb-first, typed parameters, honest capability boundaries, and access control. Streamable HTTP JSON-RPC with a server card agents can discover.
Why now — 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.
Websites agents can read
When an AI agent shops your category, does it find you — or your competitor?
llms.txt, AGENTS.md, an AI-readable robots policy, an OpenAPI document, markdown content negotiation, and MCP discovery — the surfaces that let agents understand, recommend, and use your site.
Why now — As assistants answer in-line, the click never happens — and the source an agent trusts wins. This is the widest-pain, lowest-friction place to start.
On-prem / private agents
AI agents that never phone home. Your data stays behind your firewall.
Agents that run in your VPC or on your own hardware, with RBAC, encryption, and no data leaving your boundary. Built for teams that need architectural control, not a vendor’s assurance.
Why now — Regulated sectors — fintech, health, legal, government — increasingly require private AI infrastructure rather than sending data to a third-party API.
Automation that runs without you
The work happens whether or not you are watching.
Intake → processing → delivery wired end to end: webhooks, payment flows, durable background jobs that survive a restart, and the monitoring to trust them.
Why now — The manual glue between your tools is where time leaks. Proven on this site’s own Stripe-to-durable-job pipeline.
Skills authoring + eval harnesses
The boring parts done right — expertise encoded, regressions caught.
Skills that capture your team’s judgment so the agent applies it consistently, plus an evaluation harness so quality does not silently drift as models and prompts change.
Why now — Skills and evals are what separate an AI feature that improves over time from one that quietly rots. Most teams find out too late that they had neither.
New to all this?
Skills, MCP servers, and Agents — explained in plain English, with real prices and package deals. No jargon, five minutes each.
How it works
No retainers. No decks. Working software.
- 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.
Start here
Tell us the job. Leave with a plan.
One 20-minute working session. Bring a real problem. 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.