An Agentsmith makes support systems for humans.
Not replacements for them.
I build AI agents and MCP servers that do the work your team shouldn't be doing by hand. The one writing this has been coding since age 12 and shipping automation for 12 years.
Sixty seconds from now you can know what AI would actually do for yours:
What does an Agentsmith do?
An Agentsmith turns "we should automate this" into a system that runs while you sleep. Two doors, pick yours:
Door A — You run traffic
Your tracker has an API. Your team still clicks.
Campaign pausing, budget shifts, blacklist updates, report pulls — every one of them is a tool an agent can hold. I built 43 of them against Voluum for a live client operation. Watch what that looks like:
media-buyer-agent transcript:
- You ask: pause everything with ROI under -30% in Germany
- Agent: Pulling the numbers first.
- Tool call: get_country_report(country="DE", window="7d")
- Result: 18 active campaigns · avg ROI -4.2%
- Tool call: get_campaign_report(country="DE", roi_max=-30)
- Result: 3 campaigns below threshold: camp_4471, camp_4502, camp_4519
- Agent: Pausing 3 campaigns.
- Tool call: toggle_campaign_status(campaign_id="camp_4471", status="paused")
- Tool call: toggle_campaign_status(campaign_id="camp_4502", status="paused")
- Tool call: toggle_campaign_status(campaign_id="camp_4519", status="paused")
- Agent: Paused. Freed budget: $340/day. Want it reallocated to the winning path?
- You ask: yes
- Tool call: calculate_winning_path(offer_id="off_2291")
- Result: path_B leads: +18% conversion rate over 14d
- Tool call: update_path_weight(offer_id="off_2291", path="B", weight=80)
- Agent: Reallocated. Nothing else moves without your sign-off.
Simulated walkthrough — the real system runs against live spend and won't be exposed here.
Door B — You're building a product
Your product needs to speak agent. I build that layer.
Model Context Protocol is how AI reaches your product — and how your team reaches everything else. I design and ship MCP servers that hold up in production. The build standard, taken from the live system below:
- A human approval gate on every action that moves money
- Rate limits, circuit breaker, and budget caps designed in before launch — not after the incident
- Read-only tools first; write access earns its way in behind approvals
- 293 automated tests across 43 production tools
One operation, end to end.
A client's affiliate operation — tens of thousands of dollars in weekly ad spend — runs on a system I built: a Voluum MCP server plus an 11-agent operations team on top of it. It pauses campaigns, shifts budgets, runs A/B paths, and pings the operator on Telegram when a metric crosses a line — with a human approval gate on every write.
- 43 production MCP tools across 9 categories (campaigns, A/B paths, offers, landers, traffic sources, reporting, conversions, networks, live KPIs)
- 11 cooperating agents (DSPy) with task decomposition and a write-approval gate — no agent spends money without a signed-off human
- 293 automated tests; circuit breaker; HMAC-signed alerts; auto-refreshing resilient API client (backoff on 429/5xx)
- Deployed hardened (systemd + nginx), live dashboards with SSE streaming, running against real ad spend today
This is what "AI agents" means when real money is on the line.
What would this look like for your business?
Four questions, sixty seconds. No email, no signup — you get the same first read I run at the start of every scoping call, free, on screen.
What makes a good Agentsmith?
Anyone can wire an API to a model. What you're actually buying is judgment. Mine was built in order:
- Age 12: first bots (mIRC). Nobody called them agents yet.
- Copywriting → design → web dev → marketing automation → crypto. Twelve years. Each layer feeds the next.
- Four years building AI agents — started before the GPT moment made it a job title.
- Today: production MCP tooling against live ad budgets, where a hallucination costs real money. That's the bar.
There's a code I wrote in 2022 and still work by: endless curiosity, brave enough to be updated, support systems — never replacements. Read the Agentsmith's Code →
A good Agentsmith tells you what NOT to automate. That's most of the first call.
Fifteen minutes. You'll know exactly what AI can — and cannot — do for your business.
Not a pitch. A diagnosis. You bring the operation, I bring twelve years of building automation that ships. You leave with a trajectory — yours to execute with me or without me.
Show me my trajectory →15 minutes · no prep · no deck · the map is yours either way
How we work
Fifteen minutes to map it. A fixed scope you approve before anything starts. Everything I ship is yours — code, keys, docs. That's the whole process.