ShipWithAI is an AI-native delivery studio. Specialist agents design, build, deploy, grow and monitor real software — under a method where humans keep strategy and judgment, and every step leaves evidence.
specialist agents across six delivery verticals — audit, build, SEO, campaigns, video, monitoring
a consumer banking app, zero to TestFlight — one engineer directing agents, inside a regulated fintech
a regulatory feature shipped to production across one backend and two frontends
of Critical, High and Medium audit findings adversarially re-verified before they reach the report
none of this is borrowed — this site, the film on it, and the pipeline that produced them were shipped by the fleet
The real problem
The way software gets designed, built and shipped grew organically — a brief, meetings, handoffs, revision loops — one workaround at a time. Nobody designed that process, and nobody sees it whole. That, not the technology, is what makes delivery slow and expensive.
The delivery process today
Every task waits on a calendar — a brief, emails, meetings, specialists, handoffs, revisions. The project moves as fast as its busiest person, and the knowledge walks out the door each evening.
The AI-native process
The brief, the brand, the conventions, the playbooks, the decision logs — written down well enough that agents can execute against them. People set direction and keep judgment; the fleet does the labor, in parallel.
The method
The order is the whole trick. Automation applied to an undocumented process produces the same chaos, faster. So we fix the route before we accelerate it.
Work lives in heads and chat threads. Every task waits on a person.
More output through the same broken route. Faster, not better — and harder to review.
Brief, brand, conventions, playbooks, decision logs — written down until an agent can act on them.
Specialist agents execute in parallel against the layer, with human sign-off at the gates.
Engagement logs sharpen the layer. The fleet gets faster; the work gets better.
The asset
Your company becomes a shared, legible context layer — the brief, brand, conventions, playbooks and decision logs that both people and agents plug into. Document the operation well enough that agents can run it, and every engagement compounds: the context gets sharper, the fleet gets faster, the work gets better.
How it works
One orchestrator runs the pipeline — brief → design & build → deploy → grow & monitor. Agents execute; you sign off at the gates that matter.
A working session, then a written brief: scope, risks, acceptance tests — committed to the context layer. Stop here and the brief is still yours to keep.
Specialists work in parallel: a real design system on the canvas, then code, payments, audits. You approve the design before it's built.
Live on your infrastructure, behind a human go. The fleet runs on your machine — code and keys never leave it.
SEO, campaigns and a product film — then 24/7 monitoring with alerts on uptime, sales, traffic and security.
The gates
Bounded, low-risk work: monitoring checks, report drafts, page generation. Done in the background, reviewed after the fact.
The productive middle: agents do the heavy lifting, you direct and approve. Design, builds and audits live here.
Deploys, spending, anything public or irreversible. A person makes the call. No exceptions.
Watch
The shift, the context layer, and the fleet shipping a real product end to end — explained. The film itself was produced by the pipeline it describes.
What ships
Each vertical is run by specialist agents under the same method. Everything arrives as files you own: running code, reports, pages, films.
Severity-rated findings with a Go / No-Go. Every Critical, High and Medium finding is independently re-verified and proven with a failing Foundry test before it reaches the report.
On-brand storefronts and sites — designed on a real canvas, built, payment-wired, and deployed to your infrastructure. Delivered as running code, not mockups.
Technical and content SEO delivered as real pages: the audit, the keyword plan, and the content itself — implemented, not recommended.
Launch plans, landing pages and ready-to-publish copy — written in your voice, grounded in your actual product.
Scripted, edited and code-rendered product films. The explainer on this page is one — produced by the same pipeline.
Uptime, sales, traffic, search and security — watched around the clock after launch. Alerts on change, not noise.
Under the hood
You don't have to take the fleet's word for anything. The machinery assumes it will be questioned — and leaves evidence.
Audit findings run a gauntlet: independent methodology passes, a fusion pass, then adversarial re-verification of every Critical, High and Medium finding. What survives is proven with a failing test.
The fleet runs on your machine, inside your working tree. Deliverables are files you own; your code and keys never leave. There is no hosted platform to trust.
Every decision and correction is written into the context layer, with its provenance. The same mistake doesn't ship twice, and you can always see why something was done.
Who builds it
founder · 23+ years of production software
Twenty-three years of production software: an early engineering role at ING, years as a senior software architect in Amsterdam, and full-stack blockchain and DeFi platforms since 2016 — with a degree in artificial intelligence earned a quarter-century before the current wave. Today, as CTO of Kasu Finance, a regulated lending platform, Kiril architects the stack end to end — and the audit methodologies on this site are the same ones running in that production security programme. The fleet isn't a product he resells. It's how he works.
One day inside your delivery process: how your software actually gets designed, built, shipped and run — where the time leaks, what agents can genuinely take over, and what should stay human. You keep the findings either way.
one conversation · an honest read · no obligation to go further