Stoneclad designs, builds, and runs agentic infrastructure — fleets of autonomous AI agents, production media pipelines, multi-tenant platforms, and the telemetry that keeps it all honest. Not prompts and chatbots: engineered systems with uptime, audit trails, and human control gates.
You don't learn AI. You don't manage software. We build a custom machine around your business — then it runs for you.
We sit down with you and map how your business actually runs — every task, handoff, and hour it eats. Nothing technical required on your side. You talk; we take it from there.
We architect a custom system of AI agents around those operations: what each agent handles, what it's never allowed to do on its own, and exactly where you stay in control.
We build the system on our infrastructure and wire it into the tools you already use. Nothing for you to set up, host, or maintain — it arrives working.
The agents work around the clock. You get one plain-English briefing a day and approve the important things from your phone. That's your whole job.
The result: the busywork that used to run through you now runs through the machine — publishing, follow-up, content, monitoring, reporting — while you keep final say over everything that matters. It simplifies your business instead of adding another tool to manage.
Everything we ship sits somewhere on this stack. Each layer is built, versioned, and monitored like production software — because it is.
Dedicated always-on execution hardware plus cloud hosting. Every deployment is version-controlled, auto-deployed, and security-audited before it ships. State lives in git and the database — never on one machine.
Multi-tenant Postgres with row-level security, vector-embedded knowledge bases for retrieval, and codified expertise corpora — entire bodies of client knowledge made queryable by agents.
We build purpose-made command-line tools that give agents direct, token-efficient control of external platforms — CRMs, publishing platforms, social APIs, community platforms — including services with no public API at all.
A production fleet of specialized AI agents — triage, publishing, monitoring, content, outreach, reporting — each running on a schedule or trigger, inside an enforcement cage with audit logs and hard kill switches.
Multi-stage automated workflows that take real work end to end: an episode from raw recording to published-everywhere, a lead from cold contact to booked call, a month of activity to a branded client report.
The layer most AI shops skip. Every agent emits evidence of its work; independent watchdogs detect silence, not just failure; alerts escalate instead of repeating; routine issues self-heal. The operator commands the whole fleet from a phone.
Agents do the work; humans keep the keys. Every outbound, client-facing, or irreversible action passes a stage → review → go gate. Autonomy without a gate is a liability — we engineer the gate first.
A process finishing is a fact about the process, not the work. Our agents emit receipts — evidence of what was actually produced — and independent watchdogs verify presence of output, not absence of errors.
Most alerting suppresses duplicates and accidentally swallows outages. Ours does the opposite: a fault that persists across windows climbs a severity ladder. A three-day outage cannot hide as a "duplicate."
A synthetic canary agent deliberately fails on schedule — proving the alert path works — and deliberately goes silent on another, proving absence detection works. We test the watchdog, not just the fleet.
We wrap external services in purpose-built command-line tools instead of bloated generic connectors — measured at roughly 35× the token efficiency, with reliability that holds at scale where generic AI tool connections degrade.
Nothing is "done" until an automated verifier has built it, rendered it, and checked it — and a security audit has cleared it. "The code looks right" is not a shipping standard here.
A sample of the autonomous systems currently operating on our infrastructure, every day, for us and our clients.
| System | What it does autonomously | Cadence |
|---|---|---|
| Publishing pipeline | Takes a finished episode to podcast platforms + YouTube; stages for approval, publishes on "go", verifies live | per episode |
| Shorts autopilot | Clips long-form video, AI-judges candidates against craft + claim-risk rules, stages picks for human sign-off | per episode |
| Content batch engine | Turns each episode transcript into a full multi-platform social batch, QA-gates it, routes to client review | per episode |
| Email sentinel | Triages inboxes, surfaces what matters, drafts responses — never sends without approval | every 30 min |
| Fleet watchdog | Off-host absence detection across the entire agent fleet with escalating severity | every 15 min |
| Self-heal routines | Detects and repairs known infrastructure faults before anyone notices | continuous |
| Executive dispatch | Compiles the day's activity, alerts, and email intelligence into one end-of-day briefing | daily 17:30 |
| Form & plan sentinels | Continuously verifies every live client form and payment plan is actually working | daily |
If your business runs on expertise, content, and client relationships, nearly every operational layer of it can be engineered. Bring us the bottleneck — we'll bring the system that removes it.
Scoping is conversational — engagements are architected per system, per business.