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Prototype to Production | Ship Your AI Build Safely | DAvision












Prototype to Production

It worked in the demo. Now make it survive Monday.

Built it in Lovable, n8n, or a weekend of AI prompting, and now it breaks with real customers? We turn it into something that holds up under load, logs what it does, and does not leak your API keys.

Code & architecture review
Secrets secured
Monitoring & alerts
From $4k

In short

Prototype-to-production work takes software built quickly with AI coding tools or no-code platforms and makes it safe to run for real customers. That means reviewing the architecture, adding error handling and retries, moving API keys and secrets out of the codebase, adding logging and uptime monitoring, and deploying it properly. DAvision does this from $4,000 for a hardening pass up to $19,000 for a rebuild on production-grade architecture with role-based access and audit logging.

The gap between 'it works' and 'it can be trusted'

The API keys are in the front-end

Anyone who opens developer tools can read them. This is the single most common finding, and it is usually billing against your account already.

It fails silently

No logs, no alerts, no retries. When a third-party service hiccups the work simply vanishes and nobody knows until a customer complains.

There is no staging environment

Every change is tested in production, on live customers, because there is nowhere else to test it.

What hardening covers

Code and architecture review first

We tell you what is wrong and what it will cost before doing the work, including when the honest answer is to rebuild.

Secrets out of the codebase

Keys moved server-side into proper secret storage, rotated, and scoped to what they actually need.

Error handling and retries

Every external call gets a timeout, a retry policy, and a failure path. No more silent losses.

Logging and uptime monitoring

Structured logs plus alerting so you hear about problems before customers do.

Separate staging and production

A place to test changes that is not your live system, with automated deployment between them.

Backups with restores actually tested

A backup nobody has restored from is a hypothesis, not a backup.

How it works

Four steps, no surprises. You see a working version before you pay the balance.

1

Review and report

Full read of the code and infrastructure, with a written findings list ranked by severity.

2

Agree the scope

Harden what exists, refactor it, or rebuild — you choose with real numbers in front of you.

3

Do the work

In visible increments, with the highest-severity items first.

4

Hand back with documentation

Runbooks, environment docs, and a walkthrough so your team can operate it.

Packages & pricing

Fixed-price builds in Canadian dollars. Ongoing support is quoted separately from $750 per month.

Basic

From
$4k
  • Code and architecture review
  • Error handling, retries, no more silent failures
  • Secrets and API keys moved out of the code
  • Logging and uptime monitoring with alerts
  • Deployment to managed hosting
  • 30-day warranty

Get started

Enterprise

From
$19k
  • Rebuild on production-grade architecture
  • Role-based access control
  • Audit logging of every sensitive action
  • Encryption in transit and at rest
  • Incident runbooks and recovery procedures
  • 12-month warranty

Get started

The five findings we see in almost every AI-built prototype

API keys in the front-end come first, and they appear in the majority of prototypes built with AI coding tools. The model puts the key where the code works, which is client-side, and nothing warns the developer. Anyone who opens browser dev tools can read it and use it. By the time we find it, there is often already unexplained spend on the account.

Second is the absence of error handling. Calls to external services have no timeout, no retry, and no failure path. When a provider hiccups — which they all do — the work simply disappears. No log, no alert, no queue. The prototype appears to work because it is only ever tested on a good day.

Third is no separation between staging and production. Every change is tested on live customers because there is nowhere else to test it. Fourth is backups that have never been restored, which is a hypothesis rather than a backup. Fifth is that nothing is documented, so the system becomes untouchable the moment the person who prompted it into existence moves on.

None of this is a criticism of building fast. Shipping something in a weekend to find out whether anyone wants it is the correct move. The mistake is treating the thing that proved demand as the thing that serves demand. The review tells you which parts are structurally sound and worth keeping, and where a rebuild is genuinely cheaper than continued patching — with numbers for both, so the decision is yours.

What changes after launch

Concrete, measurable, and checkable against the baseline we take before we start.

Secrets out of reach

Keys moved server-side, rotated, and scoped. The most common and most expensive finding, closed first.

Failures that announce themselves

Retries, queues, structured logs, and alerts. Work stops disappearing quietly.

A safe place to make changes

Staging plus automated deployment means a fix no longer means editing production and hoping.

Who this is for

Founders who shipped an MVP with AI tooling and now have paying customers. Internal teams whose n8n workflow became load-bearing. Anyone whose weekend project is now something the business depends on.

We work with dental clinics, construction, energy, real estate, and commercial businesses across Calgary and Canada.

Frequently asked questions

What does it cost to productionize a prototype?

A hardening pass with review, error handling, secrets management, monitoring, and deployment starts at $4,000. A full refactor with staging, automated deploys, and load testing is $9,500. A rebuild on production-grade architecture with RBAC and audit logging starts at $19,000.

Can you work with something built in Lovable, Bolt, or n8n?

Yes — those are the most common starting points. We keep what is sound and replace what is not, and the review tells you which is which before you commit.

Will you tell us if it needs a rebuild rather than a fix?

Yes, and we will show the cost of both. Hardening something structurally wrong is more expensive over a year than rebuilding it, and we would rather say so up front.

How long does it take?

One to two weeks for Basic, three to five weeks for Pro. The review itself is usually three to five business days.

Do we lose functionality?

No. Behaviour is preserved unless something is unsafe, in which case we flag it and agree the change with you first.

Is the review available on its own?

Yes. If you only want the findings list to take elsewhere, that is a legitimate outcome and we price it accordingly.

Thirty minutes, no pitch

We map out exactly what you need and what it would cost. If automation is not the answer, we will say so.


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