Integration & Platforms
99.7%
inventory accuracy
- 45%fewer stock-outs
- $890Krecovered in year one
RetailMax Holdings
Real-time inventory platform
A connected inventory platform unified store, warehouse, and supplier workflows across 127 locations.
Prototype to production
Move from a promising prototype to software your team can operate.
We harden the architecture, experience, delivery path, and ownership model between demo and production.
- 20–30 minute review
- No preparation needed
- Production risk mapped
- inventory accuracy
- 99.7%
- fewer stock-outs
- 45%
- recovered in year one
- $890K
RetailMax Holdings · Real-time inventory platform
Same App, HardenedNo rewrite
localhost:3000
no testssecrets in codedeploys by hand
Prototype
app.acme.com
CI ✓Rollback ✓Monitored ✓
Production
Deploys: 1-clickRollback: rehearsedOwner: your team
demo data
Organizations we’ve worked with
- Airbnb
- TheAMLab
- Hood
- NAMA
- Klaro
- GoBoon
- Studio Arlington
The demo-to-production gap
Six signs the demo is not the product
The prototype did its job — it proved the idea. These are the gaps that show up the day real users arrive.
The diagnosis
All six are one problem: it was built to prove the idea, not to be operated — and nobody has owned the gap between demo and production. Close that gap deliberately, and the list shrinks with it.
- 01“Works on my machine” deploysShipping means one person copying files to a server and hoping — there is no repeatable path to production.
- 02No tests, so every change is scaryNothing tells you a change is safe. The team eyeballs the app after each deploy and ships less as fear builds.
- 03Secrets living in the codeAPI keys and passwords sit in the repo or on the server — one leaked laptop or public fork from an incident.
- 04One person understands itThe architecture lives in the original builder’s head. Every decision, fix, and onboarding routes through them.
- 05No monitoring — users report outagesThe first sign something broke is an angry email. Nobody can see what failed, when, or why.
- 06Demo shortcuts turned load-bearingThe hard-coded values and skipped edge cases that made the demo fast are now holding up real users.
The hardening model
Keep what works, harden what has to hold
The prototype carries real product knowledge — throwing it away throws that away too. We work through it layer by layer, in risk order, until it is software your team can deploy, watch, and fix without holding their breath.
What gets hardened, in order
- 1Architecture — a foundation sized for real users and real data — restructured, not just patched
- 2Delivery path — tests, CI, managed secrets, and one-command rollback replace manual deploys
- 3Observability — monitoring, logs, and alerts so you find failures before your users do
- 4Ownership — runbooks and shared knowledge so the system outlives any one person
The honest boundary
We do not rewrite from scratch by default — that discards the learning the prototype paid for. But sometimes the honest answer is a rewrite, and when the assessment says so, we say so at discovery, with the evidence. Either way, the judgment stays with your team.
- Keep-vs-rebuild decided per component, with reasons on paper
- A rewrite is recommended only when hardening costs more than replacing
- You see the ranked risks first — the call is yours, not ours
In production
Systems already in production
Real engagements delivered by the same capability — measured after go-live.
GiveFlowIntegration & Platforms
Recurring donation operations platform
$500K recurring revenue and 85% donor retention.
Go BoonIntegration & Platforms
Referral and hiring platform
Referral rate grew from 2% to 11% and cost per hire dropped by 42%.
Pick your scenario
The moments that stop being scary
Pick the one you dread most — the prototype today on the left, the same moment as operated software on the right. A representative pattern; your assessment will be exact.
Today — the prototype
- 1The one person who knows the steps runs them by handbus factor 1
- 2No tests — everyone eyeballs the app afterwardshope-driven
- 3Config edited live on the serveruntracked
- 4Something looks off, so you “undo by memory”no rollback
- 5Team stops deploying on Fridays… then Thursdaysfear builds
Deploys feared, weekly at best · rollback improvised
Hardened — in production
- Change merges through review with tests runningCI
- The pipeline builds and deploys the same way every timeauto
- Config and secrets versioned outside the codemanaged
- Health checks confirm the release before traffic shiftsverified
- Rollback is one rehearsed commandboring
Deploys routine, daily if you want · rollback one command
Works with the stack you already have
No rip-and-replace — we harden the prototype where it lives.+ whatever the prototype was built on
- GitHub
- GitLab
- Docker
- Kubernetes
- AWS
- Azure
- Vercel
- Postgres
- Redis
- Sentry
- Grafana
- Datadog
How it works
The capabilities that deliver it
Prototype to Production is built from three engineering capabilities working together.
Primary
Product Engineering
Re-engineering the prototype into a production product on an architecture built to be operated, not just demoed.
ArchitectureHardeningDelivery path
Explore capabilitySupportingReliability
Observability, safe deploys, and rollback so the product holds up under real usage and real failures.
MonitoringSafe deploysRollback
Explore capabilitySupportingAI Systems
Where the product depends on AI, making that behavior production-grade, bounded, and observable.
Bounded behaviorEvaluationGuardrails
Explore capabilityDo the math
How long has your team been babysitting it?
Manual deploys, firefighting, explaining the code to anyone who touches it. Slide to your reality — the review tells you which of those hours hardening actually removes.
115
120
Babysitting overhead
18hrs/week
≈ 828 hours a year spent deploying by hand, firefighting outages, and explaining the code instead of building the product.
Assumes ~46 working weeks a year. We will tell you which of those hours hardening removes — and which ones a system should never have cost you.
How we deliver
From fragile demo to operated software
Four phases, and each one hands you a concrete artifact — not a status update.
- 01 · Assess
Assess the prototype
We review what exists — architecture, data, secrets, delivery, ownership — and rank the real gaps between demo and production.
You get
A production-readiness assessment with ranked risks
Done when
The riskiest gap is named and sequenced first
- 02 · Harden
Harden the foundation
We fix the architecture, move secrets out of the code, add tests, and build a repeatable delivery path — in risk order.
You get
A delivery path with tests, CI, and secrets managed
Done when
A change ships through the pipeline without hand-holding
- 03 · Prove
Prove it under fire
We load-test it, wire monitoring to the failures that matter, and rehearse the incidents before real users cause them.
You get
Monitoring, load evidence, and a rehearsed failure drill
Done when
A rollback is rehearsed and boring
- 04 · Hand over
Hand over ownership
We document the system, run it alongside your team, and transfer the operating knowledge until it lives with you.
You get
Runbooks and a team that has operated it with us
Done when
Your team deploys without us on the call
Is this the right starting point?
Where Prototype to Production fits
We would rather flag the wrong starting point than harden software no one will operate.
Good fit when
Start here- You have a working prototype or demo that users already want
- Deploys, secrets, tests, and monitoring are still improvised
- One person holds the system in their head and everyone knows it
- You have a team that will own and operate it after launch
Not a fit when
Not yet- The concept is still unvalidated — no one has proven they want it
- You want the cheapest lift-and-shift with no hardening
- No one will own or operate the software post-launch
- You need a throwaway demo, not a product to operate
Not sure which side you are on? Most teams aren’t — until the workflow is mapped.
Prototype to Production questions
Not by default. The prototype proved the idea and carries real product knowledge. We assess what exists, keep what holds up, and re-engineer the parts that were built for speed rather than scale — architecture, hardening, and observability — so you reach production without discarding the learning.
It means a scalable architecture, real error handling and edge-case coverage, secrets managed outside the code, performance under load, observability so you can see what happens in production, and safe delivery with rollback. It is the gap between something that demos and something you can launch and stand behind.
Adding hands to a prototype often scales the fragility. We take accountability for the transition to production as a system — foundation, hardening, and observability together — and hand back a product built to grow, not a bigger version of the same prototype.
We start by assessing the prototype and identifying the real gaps, then sequence the work so the highest-risk parts of production readiness come first. You get a clear path to a safe launch rather than an open-ended rebuild.
Founders and CTOs with a working prototype who need it turned into a production product on a scalable foundation. It is not for idea-only projects, unvalidated concepts, or throwaway demos.
Want us to build the whole first release?
MVP Build: scope, design, engineering, testing and launch by one team. A fixed quote after a free scoping call, paid in milestones.
Start here
Get your prototype ready to operate
Bring what you have built. We will assess the prototype, rank the risks between demo and production, and show you the path to software your team can run.
20–30 minutes · No preparation needed · Not ready for a call? Send a note instead