Custom Implementations

Your marketing should never be limited by your tech

If you can automate processes with AI, you effectively remove the ceiling on your output.

The Moat

The Advantage of Proprietary Tech

Using "off-the-shelf" software limits you to the same capabilities as your competitors. Building your own tools (even scrappy ones) creates a moat that other businesses cannot cross.

Your competitors are using AI & automation tools to crank out great marketing content faster than ever - so why aren't you? Our small team of engineers can help you with every step of the process from setting up tools to detect trends, building prompts to build ads & landing pages, setting up conversion tracking, and building reports so you can feed data directly into the tools to further improve them with frameworks like the Karpathy Loops.

[01]

Trend Detection Systems

Index niche channels, top competitor offers, and real-time social sentiment. Build early warning indicators to spot emerging trends before standard reports catch them.

[02]

Programmatic Asset Factories

Automate thousands of high-converting ad variations and pair them with matching, dynamically generated landing pages to scale creative volume with zero friction.

[03]

Precision Server-Side Tracking

Ensure data integrity across channels. Setup webhooks, API events, and conversion tracking (Meta CAPI, Hyros, RedTrack) to plug tracking leaks.

[04]

Karpathy Loops Integration

Feed clean tracking and conversion reports back into generation tools. Create continuous feedback loops to automatically improve generated assets and bidding models.

Case Studies

Example Services

We construct tailored, resilient software architectures that help media buyers, startups, and brands automate and scale operations.

Pipeline 01

Programmatic Creative & Landing Page Factories

            Target: Venture-backed startups or high-growth direct-to-consumer (DTC) brands stuck in a
            content creation bottleneck.
          

The biggest bottleneck for modern ad accounts isn't strategy; it’s creative volume. If you can eliminate the friction between "ideation" and "live page," you win.

"We replace a 10-person creative team with a programmatic asset pipeline. We build systems that take your winning copy angles, auto-generate thousands of variation creatives (including high-contrast, attention-grabbing styles), and deploy them alongside matching, dynamically generated landing pages simultaneously."

            The Technical Edge: Asset generation pipelines using AI APIs (image/video/LLMs), headless
            CMS or programmatic HTML page generation, and automated deployment scripts.
          

// factory_pipeline.js - Automated asset generation & deploy

const creative = await ai.images.generate({
  prompt: "High contrast DTC product image, angle: direct value comparison",
  style: "attention-grabbing"
});
const page = await PageGenerator.buildFromTemplate("landing-v4", {
  headline: copyAngle.text,
  heroImage: creative.url
});
await PageGenerator.deploy(page.html, "s3://dtc-funnels/pages/angle-09");

Pipeline 02

Proprietary Trend-Spotting Engines (The "Early Warning" System)

            Target: E-commerce brands looking for their next product line, or heavy-volume lead-gen
            companies looking for fresh angles.
          

Instead of relying on late affiliate reports or manual scrolling, you build a custom data pipeline that indexes specific market sectors to find what’s working right now.

"We build internal intelligence bots that scrape and index top review, competitor, and social channels in your niche. You’ll see exactly which products and angles are experiencing view velocity before the rest of the market notices."

            The Technical Edge: Python backends pulling live data via APIs or custom scrapers,
            performing basic data analysis on velocity metrics, and pumping alerts into a clean dashboard or Slack hook.
          

# trend_monitor.py - Competitor velocity scanner

for channel in NICHE_CHANNELS:
    posts = scrape_velocity_metrics(channel)
    velocity = calculate_velocity(posts)
    if velocity > VELOCITY_THRESHOLD:
        send_slack_alert(f"Trend alert: {channel.product_id} velocity is {velocity}% above average!")

Pipeline 03

Meta API Guardrails & Automated "Kill Switches"

            Target: Media buying agencies or brands spending $10k+/day who are tired of human error
            draining their margins.
          

Media buyers sleep, get distracted, or make emotional decisions. Code doesn't. This angle focuses on tying tracking data directly to ad-account actions.

"Stop wasting budget on bleeding ads. We build custom API integrations between your tracking data (Hyros, RedTrack, etc.) and Meta. If an ad doesn't hit a specific metric (like Initiate Checkout) within a precise spend window, our script kills it instantly. We can also automate one-click bulk scaling into fractional bid caps (e.g., $200.99) to game the auction."

            The Technical Edge: Programmatic ad management via Meta Graph API, webhook handlers, and
            cron jobs calculating real-time KPIs against spend.
          

# guardrail_manager.py - Meta API automated kill switch

spend = get_meta_spend_window(ad_id, hours=4)
ic_count = get_hyros_metric(ad_id, metric="InitiateCheckout")

if ic_count == 0 and spend > MAX_SPEND_WITHOUT_IC:
    meta_api.pause_ad(ad_id)
    notify_media_buyer(ad_id, reason="Zero conversions with $150+ spend")

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