Pillar 01 · Service 04 AI Automation

AI content
that doesn't sound like AI.

Brand-trained systems that scale your content and personalization without diluting the voice. Editor-in-the-loop by default, production-grade on day one, wired into your CMS so the work actually ships.

  • Typical first system 6–10 weeks
  • Editor workflow Always
  • Eval guardrails Included
01 What we build

AI-native systems,
brand-accountable outputs.

Every deliverable has guardrails, evals, and an editor flow. If it can't pass your brand review, it can't ship.

01 · Voice

Brand-trained LLM systems

Custom prompt libraries, style guides encoded as evals, and fine-tunes when needed — so every piece of generated content sounds like you, not the base model.

  • Prompt library
  • Style evals
  • Custom GPTs
02 · Web

Dynamic site personalization

Above-the-fold that adapts to firmographic, behavioral, and referral signals — without a legacy personalization platform that breaks your Core Web Vitals.

  • Edge-rendered
  • CMS-native
  • CVR-tracked
03 · SEO

Programmatic SEO (done right)

Long-tail landing pages generated from structured data — with editorial review, unique value per page, and internal linking that passes a real audit. Not content spam.

  • Structured data
  • Human QA
  • No duplicate content
04 · Creative

Creative ops automation

Ad variations, social cutdowns, email subject lines — generated in your brand system, tested at scale, and pushed to your ad platforms without a creative team bottleneck.

  • Ad variation
  • A/B at scale
  • Brand-safe
05 · Media

Video & asset AI pipelines

Repurposing long-form webinars into clips, generating alt text at scale, batch-producing localized variants. The unglamorous production work, automated.

  • Cutdowns
  • Localization
  • Asset tagging
06 · Toolchain

Editor-in-the-loop tooling

The custom interfaces your team actually uses — a brief intake, an AI draft, a human edit, a brand eval, a publish button. Built as an internal tool, not a Notion template.

  • Custom UI
  • Review queue
  • Audit log
02 Stack

Generation, control, distribution.

We build in the stack your marketing team can operate — not a proprietary black box nobody else can touch.

Claude / GPT-4Generation
Vercel AI SDKRuntime
LangChainComposition
Sanity / ContentfulCMS
Next.jsSite rendering
BraintrustBrand evals
Runway / DescriptVideo AI
RetoolEditor tooling
03 How we ship

Train the system.
Then ship at pace.

Wks 01–02Calibrate

Train

Brand voice encoded, evals defined, guardrails written. Your editorial team signs off on the eval set before we generate a single word.

Wks 03–05Build

Integrate

Hook into your CMS, your ad platforms, your creative review tools. The system shows up where your team already works.

Wks 06–08Pilot

Launch

Soft launch with a small surface area. Human review on every output. Eval curves tracked weekly until quality is stable.

Wks 09+Scale

Operate

Expand surface area as evals hold. Your editorial team owns the loop; we stay on to tune when models change.

KacificSatellite Internet · SG X-PHY IncCybersecurity · US FlexxonNAND Solutions · SG Gauze CareMedical Products · US NDAIndustrial SaaS · EU NDAHealthtech · US NDAClimate & Energy · APAC NDAB2B Fintech · UK
Let's build it

AI system
that respects the brand?

Tell us what you'd scale if the output actually sounded like your company. We'll send back a short read on how to build it.