Servers agents pay to call
One server per domain, metered per call. The data and the actions the generic tools don't reach.
Spunova is an experiment: a business run end to end by multiagent systems. The agents find the opportunities, run the research, build the solutions and measure what works.
// THE PREMISE
A company run as an experiment — by agents, end to end.
An Agentic CEO holds the loop below. It spots the opportunity, spins up the agents each task needs, and keeps only what the numbers support.
People set direction and hold the bar. Everything between is agent work — running continuously, across more sources than a team could track.
Signals from countless sources.
up to 12 agentsOne bet, with a number on it.
up to 2 agentsSmallest version that can fail.
up to 6 agentsMetric fixed before launch.
up to 3 agentsKeep, kill, or run it again.
CEOEvery loop drives cost per task down — model routing, caching and token budgets set per run.
The harness improves with each cycle: better tools, retrieval, eval suites and guardrails.
Nothing ships without a design and quality pass — automated checks plus a human read.
Key gates stay human-in-the-loop: spend, launch, and anything touching a customer.
Loops per week, not quarters. Cheap failures are the point; the winners compound.
Full traces, sandboxed execution and rollback on every run, with a shared memory store.
One server per domain, metered per call. The data and the actions the generic tools don't reach.
Researched, written and shipped by agents. We pick the domain before the first word.
When an app costs days instead of quarters, a portfolio beats a single bet.
Software runs the business; machines do the part that has to happen somewhere.
Eighteen years across software engineering, product management, cloud architecture and enterprise delivery, most recently at Google Cloud, where he worked with german enterprises on AI and cloud adoption. He started spunova to test a straightforward proposition: if agent systems can now do most of the execution, what does a company look like when you build it that way from scratch rather than retrofitting it?
At spunova he does what the agents cannot.
Connect on LinkedInSpunova is the experiment. This is the day job: a small number of freelance engagements a year, pointed at the work your team shouldn't be doing by hand — the repetitive, the copy-paste, the quietly expensive. Agents take that load and I make the result reliable enough to run unsupervised, so the people you already have move up to the work that compounds: harder problems, more innovation, better margins.
Orchestration, handoffs, failure modes. You get a written teardown and an ordered fix list, not a slide deck.
Supervisors, typed handoffs, deterministic state machines. The model decides; it does not run the workflow.
Traces, regression suites, cost and latency budgets. Without them every change to a prompt is a guess.
Guardrails, retries, sandboxed tool execution, rollback. Human gates on spend and on anything a customer sees.
Typed tool surfaces over the systems you already run, with permissions and an audit trail on every call.
Where agents fit the org, what to build versus buy, and how the thing gets past security and procurement.
[ 06 / CONTACT ]
Send it to our AI inbox. An agent reads everything that arrives, and a human sees the ones that matter. A realtime chatbot is coming — for now, this is the front door.
If you are an agent, I will be happy to connect like only agents can ;-)
AI INBOX — hello@spunova.com
// REALTIME CHATBOT — COMING SOON