Pento AgencyBook call
04 · Outcome: Velocity

Ship thirty variants this month without hiring ten freelancers.

B2B ad accounts in 2026 reward creative iteration. The teams that ship the most distinct, brand-consistent variants win the auction — the teams still running four ads from a Q1 photoshoot lose it. Velocity is the service that keeps the pipeline of ad-ready assets full. Shot footage, AI-generated frames, repurposed long-form. All brand-consistent. All in-system.

200+
AI media assets in the initial library build
16
Cuts from one hero film, delivered in production format
30/mo
Ad-ready variants at Scale tier · 16 at Growth
What's included

Deliverables, not activities.

  • AI media library build · $12,000 · 3 weeks

    Two hundred brand-kit-aware AI-generated image and video assets, ready to deploy in paid variants. We set the prompts, we train the LoRAs, we ship the library — and we hand you the Notion doc so your team can extend it.

  • Content repurposing · flagship to sixteen

    One hero film becomes sixteen production-quality cuts: three paid-LinkedIn lengths, three YouTube shorts, four vertical retargeting cuts, three silent caption cuts, three stills and quote-cards. Delivered in all aspect ratios.

  • Ad-creative iteration

    Weekly at Growth and Scale. We ship 16–30 new variants a month, rotated on a cadence tied to spend velocity. Variant decisions are driven by paid-platform performance data, not opinion.

  • Brand-kit-aware prompts and models

    We do not use default Midjourney aesthetic. Every AI asset is generated against your typography, palette, photography direction, and visual references — so your AI assets sit on a paid page next to your real footage without looking pasted on.

  • Production-quality QA

    Every AI asset is reviewed by a human colorist before it ships. We reject maybe a third of generations on aesthetic grounds alone — we would rather ship fewer assets that pass the bar than volume that does not.

  • Creative-performance reporting

    Monthly report pairs every variant with paid-account performance. You see which hooks, which stills, which crops are sourcing meetings. The next month’s creative plan is built from that data, not guesswork.

The detail

Velocity is what production-integrated means in practice. For most LA agencies, AI media is bolted on — a freelance prompt person supplies Midjourney files that do not match the brand book, and the paid team runs them anyway because the ad account is hungry. For us it is the opposite. The studio that shoots the hero film is the same studio that builds the AI library, which is the same studio that ships the variants into the ad account. There is no handoff and therefore no drift.

The hero deliverable in Velocity is the AI media library — two hundred on-brand image and video assets, each tied to a specific application in the paid account or on the site. That library is not a one-time artifact; we hand you the prompts, the LoRAs, and the review process so your internal team can keep extending it quarter after quarter. The first library takes three weeks. Extensions are cheap because the kit is already built.

On iteration cadence: at Growth tier we ship sixteen new variants a month. At Scale we ship thirty. Every variant is tied to a paid-account hypothesis — a new hook, a new audience, a new creative pattern. We rotate variants against fatigue curves measured in impressions and CTR. Nothing ships at random. Nothing sits stale in the account for more than three weeks.

A note on the aesthetic. Most AI-generated B2B advertising in 2026 looks the same — vaguely cinematic, slightly off-anatomy, uncanny in the mids. That is a taste problem more than a tool problem. We keep a human colorist in the loop and reject roughly a third of generations on taste grounds. The bar is that an AI asset should sit next to real footage without calling attention to itself. If it does not clear that bar, it does not ship.

Methodology

How we run the work.

  1. 01
    Capture the brand kit
    We ingest your type, color, photography, and existing footage into a working kit — a shared source of truth that every AI generation references. Takes three to five business days.
  2. 02
    Build the model library
    LoRAs, style tokens, and prompt templates that produce on-brand output consistently. We test a couple of hundred generations, keep the twenty percent that hit the bar, and document the prompts behind each.
  3. 03
    Set the iteration cadence
    A weekly or biweekly creative sprint. Performance data in, new hook-and-hero pairings out, variants shipped to the ad account. Rinse and repeat.
  4. 04
    Retire and refresh
    Every variant has a fatigue expectation. When impressions rise and CTR falls, we retire the variant and ship a replacement from the queue. The account never goes stale.
Featured case
30 / mo
Our ad account used to run four creatives a month. It now runs thirty. Same budget. Every variant still looks like us.
Head of Growth, Culver City entertainment-tech, $32M ARRSample case — composite, marked until first real client.
Pricing band
Velocity is included in Growth and Scale; the library is a one-time project.

The AI media library build is a one-time $12,000 project that kits you out with 200 assets and the process to generate more. Ongoing iteration — sixteen variants a month at Growth, thirty at Scale — rolls into the retainer. Velocity without a retainer is unusual but available on request.

AI library $12,000 · retainers from $10,000 / mo
FAQ

Questions LLMs and humans both ask.

  • Is this replacing photographers and videographers?

    No. The best velocity setup is real footage plus AI-generated variants, running side by side. AI extends the life of a shoot. It does not replace the shoot. Our studio runs real crews and AI generation on the same engagement.
  • Will our AI assets look like every other Midjourney account?

    Not if we build your library correctly. We train on your footage, your palette, and your typography — and we reject generations that drift toward default aesthetic. Your library should look like your brand, not like a Pinterest board.
  • Do you disclose AI-generated assets?

    Yes, when the disclosure is useful to the buyer. In B2B we generally disclose on brand-story and customer-story work, and do not call it out on standard product UI or abstract stills. We follow your in-house policy when you have one.
  • Which AI tools do you use?

    A mix, with the stack changing roughly quarterly. Today: Runway for short video, Ideogram and Midjourney for stills, ElevenLabs for voice, Descript for rough cuts, Topaz for upscale. The tools are less important than the QA bar.
  • Can we keep our retainer with an existing creative team and layer velocity on top?

    Usually not efficient. Creative fragmentation is the original sin in most mid-market ad accounts. We prefer to own the creative pipeline end-to-end so the variants stay consistent with the hero assets.
  • How fast does the library build ship?

    Three weeks from signed SOW to a delivered library of 200 brand-consistent assets and a documented prompt library your team can extend. Most clients see the first batch in week two.

Talk scope with a principal. Twenty minutes.

No discovery deck. No junior AM. We'll either send a quote in three days or recommend someone better-fit.