AI Web Production Web Production Service for the AI Era

From “building fast” to “building securely and operating with peace of mind.” With AI generation × Git management × automated verification × human approval, we build websites that are resilient to attacks and can be rolled back instantly.

From “building fast” to “building securely and operating with peace of mind."

A web production service that redesigns website production, quality control, publishing and operation around “AI generation × Git management × automated verification × human approval.” In addition to making production more efficient with AI, we reduce the components running in the public environment to shrink the attack surface for cyberattacks, and make mechanisms for rolling back instantly in the event of failure standard. For CMSs (WordPress, etc.), we choose to “remove, keep, or combine” depending on the characteristics of the site.

BackgroundWhy change how websites are built now?

01An era in which AI can “build, fix and propose"

AI development tools can now read code, and even edit, test and create change requests.

02The risk of cyberattacks targeting websites

In October 2026, a critical vulnerability in PHP enabling arbitrary code execution without authentication was disclosed, leading even government ministries to temporarily suspend web content.

03Git-integrated static hosting has become mainstream

Simply pushing changes triggers automatic builds and CDN delivery. Both publishing and rolling back to the previous version can be done instantly.

Conventional CMSs can also be operated securely if updates, configuration and monitoring are handled properly. The difference lies in “the number of things that must be continuously protected” and “the work required in an emergency."

WorkflowWeb production flow for the AI era

We proceed through 7 steps and 5 approval gates (G1–G5). AI handles the labor-intensive parts, while people judge requirements, quality and whether to publish.

Web production flow for the AI era: 7 steps, with the role of AI, human judgment and approval gates G1–G5

AIAI builds

The labor-intensive parts, such as generation, fixes, test creation and change descriptions

HumanPeople decide

Decide requirements, quality and whether to publish at 5 approval gates

SystemProtected by systems

With Git, automated tests and automated deployment, the same procedure is followed no matter who does the work

SecurityA new website architecture that reduces the attack surface

We reduce the components running in the public environment, cutting down the very parts that can be attacked. The public side only serves files, while production and updates take place in a system separate from the public site and are reflected only after the differences have been reviewed and approved.

Comparison of a conventional CMS site and a new static site architecture
AspectA Conventional CMSB Direct operation of AI-generated codeC AI-generated + headless CMS
Emergency vulnerability responseEmergency updates to PHP, CMS and plugins on the public server. If difficult, decide whether to take the site downSince PHP does not run in the public environment, direct responses stemming from PHP are easier to avoidPublic pages are the same as B. CMS core updates are handled by the CMS provider (for SaaS types)
Attack surfacePHP execution, database and admin panel are on the public serverMainly static file delivery. Forms, etc. use external servicesPublic side is static delivery. Admin panel is separated from the public site
Recovery from failuresRestore by aligning the state of the server, database and pluginsRedeploy a known-good version from GitCode is redeployed; content restored from CMS backups

Even with a static site, management of GitHub, CMS and hosting accounts, dependency packages, external forms and the like is still required. It does not prevent every threat.

CMSCMS: not “remove” but “choose"

There is no one-size-fits-all approach. We choose the optimal approach based on the volume of updates and who will handle them.

Site typeRecommended approachWho updates
Small corporate site (up to 20 pages, updated a few times a year)B Direct operationProduction company (on request)
Mid-sized corporate siteC Combined (CMS for news and works only)Client (articles) + production company (static pages)
Recruitment siteB or CHR (job postings) + production company
LP / campaignB Direct operationProduction company / marketing staff
News / blogC or AClient's editors
Sites with many products and services / multilingual sitesC CombinedClient's respective staff
Membership sites / web appsCustom designDevelopment team

Since there is no CMS build process, initial work hours are easier to keep down for sites with few updates. For sites with frequent article updates, keeping a CMS keeps operating costs lower, so we agree on the update approach at the proposal stage before proceeding.

QualityQuality in two layers: “automated checks” and “human judgment"

Area checkedAutomated checks (every time a change is made)Human review (before approval)
Display / browser compatibilityDisplay tests and screen comparisons for key pages, automated tests on major browsersAppearance on actual PCs and smartphones, consistency with design intent
Links / formsBroken-link detection, form submission testsChecking auto-reply emails, notification recipients and wording
SEO / page speedPresence of titles, descriptions, OGP, etc.; page speed measurementAppropriateness of content; balance between image/video quality and file size
AccessibilityAutomated checks for contrast, alt text, etc.Checks with keyboard navigation and screen readers
SecurityScanning for leaked secrets, vulnerability alerts for dependency packagesChecking external scripts, form destinations and permission settings

The author and the approver are different people. Changes made by AI are always published only after going through “change request → automated verification → approval."

RecoveryOperations that make recovery easy, even after attacks or failures

Recovery flow
Conventional approach (example)Problem discovered → impact investigation → check CMS, PHP, plugins and database → fix → functional verification → resume publishing
New approach (example)Problem discovered → confirm scope of impact → select a known-good version from history → redeploy → verify

Because known-good code and the publishing history remain in Git and the hosting service, it is clear what to roll back to. We routinely retain deployment history, regularly rehearse rollback procedures, and back up CMS data and form data.

* Even with the new approach, root-cause investigation, revoking and reissuing passwords and tokens, and checking external services are still necessary. Account compromise and data loss cannot be resolved by redeployment alone.

Growth CycleKeep updating and improving after launch

Maintenance cycle: receive requests, modify with AI and create PRs, automated tests and previews, review diffs and approve, republish and post-release check, record and monthly report

01Update | Just give instructions

Give instructions for updates in natural language, and AI creates a draft.

02Publish | Automatic after approval

After preview review and approval, static pages are generated and published automatically.

03Measure | LLMO / CRO

We visualize how you are mentioned in generative AI (LLMO) and the improvement points revealed by visitor behavior (CRO).

04Insight | People decide

Based on “what should be fixed next,” we prioritize modifications and feed them into the next update.

Routine tasks: checking dependency package updates (weekly); improvement proposals based on access analytics, LLMO and CRO, and backup restore tests (monthly); uptime monitoring, SSL expiry and form delivery monitoring (continuous).

ValueTurning your website into a corporate asset you can operate with confidence

01SECURITY | Reduced attack surface

Fewer components running in the public environment, reducing attack targets.

02COST | Optimized long-term maintenance burden

Fewer items requiring ongoing maintenance, with operating costs optimized to the site's characteristics.

03SPEED | Rapid production and modification

AI shortens the time from kickoff to launch.

04QUALITY | Standardized testing and approval

Change diffs, verification results, approvers and publishing history can all be reviewed.

05CONTINUITY | Established history and recovery procedures

Recovery procedures for failures can be standardized.

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