The product became a business
People now rely on it. Payments, private data and daily operations turned a successful build into a production system with real consequences.
for founders with live software
You built the product. Now lead it without carrying production alone.
Keep building with AI while I control high-risk releases, data boundaries, monitoring and rollback. Start with a fixed ten-day Production Takeover that turns founder-carried risk into clear technical ownership.
the moment after it works
You got the product live. Then the stakes changed.
Shipping was the first victory. The next stage begins when users, payments or customer data make every technical decision consequential, but production ownership still sits with you.
Every release carries more weight
A prompt can still create a feature in an afternoon. It cannot decide which data the change may reach, how it is verified or when it is safe to ship.
Production still sits with you
The founder, an agency, a former contractor and an AI tool each know part of the system. You remain the person carrying the complete risk.
two ways founders reach this point
However it was built, the next stage needs an owner.
You do not need to apologize for the stack or start again. The work begins with what is live, what people depend on and which decisions should no longer rest on the founder alone.
AI-built SaaS
You built quickly. Now the product needs production rules.
Lovable, Replit, Bolt, Cursor, Claude Code, Next.js and Supabase helped you reach users quickly. The Production Takeover establishes the boundaries that let you keep that speed without treating every change as equally safe.
See the Production Takeoverinherited or fragmented stack
You inherited the system. You do not need to inherit the uncertainty.
A live product may span vendor platforms, custom code and former contractors. The takeover creates one view of the complete production path, then keeps, stabilizes or replaces each part based on operational evidence.
See this approach on AiudAppnamed production case
The offer comes from work already done on AiudApp.
Tookan central dispatch and Bubble dashboards became separate Next.js applications. Customer tracking was built in Next.js, the Flutter field app was redesigned, and paid Google routing was replaced with self-hosted Valhalla while Xano remained the shared backend.
- production scale
- ≈60k tasks / month
- The connected AiudApp ecosystem currently handles approximately 60,000 tasks per month and is growing.
- field-app efficiency
- −57.5% requests / user-hour
- Observed backend requests per active user-hour fell from 192.3 to 81.8 after the Flutter flows were improved.
- the engagement
- 6-month migration → ongoing
- The Tookan replacement took six months. Work continued for more than a year afterward and remains ongoing.
a bounded first step
Ten business days from carrying the risk to knowing the path.
The Production Takeover maps the system and critical paths, establishes the rules for safe AI-assisted change and fixes or contains one eligible material risk. You leave with a concrete decision, not a sales dependency.
- 01Fit and access review
- 02System and critical-path map
- 03Release and AI change boundaries
- 04One material intervention and a ninety-day verdict
what changes for you
Keep the speed. Replace uncertainty with operating rules.
The takeover does not remove the founder from technical decisions. It gives you a clear boundary between what you can keep changing, what needs review and what requires a senior owner.
before the takeover
The product works. You hold the whole system in your head.
- You join the dots across code, platforms, vendors and production.
- Each AI-assisted change creates another judgment call.
- Backups, access and rollback exist mostly as assumptions.
- The next technical decision begins with more investigation.
after the takeover
You lead the product inside known technical boundaries.
- The system and its business-critical paths are mapped.
- Every relevant change has a green, amber or red lane.
- Release, monitoring, backup and rollback controls have a baseline.
- The next ninety days have a stop, stabilize, own, migrate or hire verdict.
the ownership ladder
Use the answer. Continue only if the product needs me.
The takeover is the required paid entry. The evidence may then support monthly stewardship, weekly technical ownership, a separate project, an internal hire or no further work.
establish control
Production Takeover
$2,500 fixed
Map one live product, establish the production and AI-change boundaries and leave with a ninety-day decision plan.
See the 10-day takeovermonthly control
Technical Steward
$3,500 / mo
Keep risk and release controls current, with one bounded improvement cycle and one plain-language decision note each month.
See Technical Stewardweekly ownership
AI-Native Technical Owner
$5,000 / mo
Own architecture, releases, security, infrastructure decisions and one bounded active technical lane each week.
See AI-Native Technical Ownerwhat gets owned
You lead the product. I own the technical decisions that should not return to your shoulders.
- Architecture and technical tradeoffs
- Authentication, permissions and data boundaries
- Release verification, monitoring and rollback
- AI change instructions and approval lanes
- A plain-language decision path for the founder
fit
Built for the moment technical responsibility becomes expensive.
This fits a founder with a live product, a current production trigger and meaningful business consequences. It does not fit somebody shopping for the cheapest route to a new build.
- New MVPs or an unfinished feature list.
- Unlimited development queues, emergency on-call or same-hour response.
- A company that needs a full engineering team rather than one senior owner.
- A buyer selecting purely on an hourly rate.
Keep leading the product. Stop carrying production alone.
If users, payments or business data already depend on the product, the Production Takeover establishes what is safe, what needs ownership and what should happen next.